Untitled

Course

Catalog

- Customers

Table of Contents

Category Level I: o9 Platform/Technology ............................................................................................................................................................................................................................ 3

Category Level I: Industry Digital Brain ................................................................................................................................................................................................................................. 14

Category Level I: Solution Building Blocks ............................................................................................................................................................................................................................19

Category Level I: o9 Platform/Technology

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Hadoop Hive Overview

Big Data Stack

Hadoop & Hive

100 mins

In this course, you will learn:  Overview of Hadoop  HDFS Architecture  Data

Replication  Common Hadoop Tools  Important Hadoop Ecosystem Tools Used In

ABC Project  Apache Spark  Airflow  ABC Project  Demo

Introduction to

Integration 3.0 Powered

by Delta Lake

Data Integration

33 mins

In this course, you will learn about the current data integration landscape used at o9,

its challenges, and o9's future tech stack for data integration. You will understand the

features of Delta Lake, and how data integration is performed using Delta Lake and

Integration 3.0. You will also learn about high-level data ingestion flow and inter-

tenant data share in Demand and Supply Planning. Prerequisites: - Basic

understanding of Data Integration and Delta Lake concepts - Experience with Apache

Spark and Apache Airflow - Familiarity with Cloud Computing concepts

SSIS Essentials

Data Integration

424 mins

This is an ideal program if you want to learn the basics and start working with

Microsoft SQL Server Integration Services (SSIS). SSIS is one of the main extensions

for Microsoft SQL Server. Professionals use SSIS to build automated workflows that

speed up the process of combining data from numerous sources. You can ingest and

transfer data between source systems and flat data files, through ETL (extract,

transform, and load), or ELT (extract, load and transform). This program will teach you

how to use various control flow and data flow tasks, data sources, connections,

transformations, variables, and more to get started with SSIS. This is a hands-on

intensive program, learners must complete the modules and tutorials sequentially

before moving on to the next module for effective learning. Required prerequisites: -

General understanding of Database technology and SQL - Working knowledge of

Microsoft SQL Server

Introduction to Data

Warehousing and ETL

Data Integration

105 Mins

This program introduces you to the core concepts of data warehousing, data

normalization, extract, transform and load (ETL) process, and dimensional modeling

concepts. This will help build a strong conceptual foundation, to be able to work with

advanced ETL tools and techniques. Objectives: - Describe the evolution of

Information Management Systems - Describe the creation of Online Analytical

Processing (OLAP) System - Outline Data Warehousing Concepts - Define Data

Normalization - Describe the Extract Transform Load (ETL) Process - Outline the

Dimensional Modelling Concepts

Configure, Execute &

Debug Python Plugin on

o9 Platform

Data Science

Data Science with

Python

003 o9 Specific

Implementation

30 mins

Required prerequisites: - Working knowledge of Python Programming and Python

Plugins - Knowledge of creating a Conda environment - Understanding of the o9

Platform This course is best suited for learners whose job role involves the usage of

the o9 Platform, Python programming, and Python plugins. A scenario-based approach

is used to provide you the knowledge required to configure, execute, and debug

Python plugins on the o9 Platform. By the end of this course, you will: - Understand

the Python plugin architecture on the o9 Platform - Know the steps involved in

configuring a Python plugin - Understand the need for the Conda environment for

Python plugins - Know the steps involved in executing a Python plugin - Learn to

identify common Python plugin errors and debug them Use the available Backup

Tenant JSON and Dataset zip files on this course page to configure and execute the

Python plugins.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Data Science for Supply

Chain Planning

Certification Exam

Data Science

Data Science with

Python

005 Certification Exam

200 mins

Data Scientist

**Pre-requisite - Complete all the programs of Data Science for Supply Chain Planning

Learning Path** **Ideal for Novice and Intermediate learners** This exam assesses

the learner's knowledge of Data Science concepts using Python as a Programming

Language. The exam covers the following topics related to Data Science and Python: -

The fundamental concepts, such as variables, data types, control structures,

functions, and classes, - Advanced topics like object-oriented programming, modules

and libraries, exception handling, file input/output, - Python libraries for data

manipulation, visualization, and analysis, such as NumPy, Pandas, and Matplotlib and, -

Data Science techniques involving supervised and unsupervised learning and

algorithms. - Exploring methods for accurate forecasting. This exam includes coding

exercises and real-world scenarios in the form of multiple-choice questions to test the

learner's understanding and practical skills. Learners are expected to demonstrate

their ability to work with data sets, apply statistical analysis techniques, and visualize

data using Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn.

Introduction to Data

Science for Supply Chain

Planning

Data Science

Data Science with

Python

4:18 Mins

This short video introduces learners to ‘Introduction to Data Science for Supply Chain

Planning’ guided learning path. The Data Science for Supply Chain Planning Learning

Path offered by o9 Academy empowers individuals at all proficiency levels, ranging

from beginners to experts, to effectively leverage Data Science and the o9 Platform.

By employing Machine Learning techniques, learners can generate data-driven plans

and achieve precise forecasts. Throughout this educational journey, participants will

establish a strong foundation in key areas such as Python, Data Science, Statistics,

Machine Learning, and Artificial Intelligence. The video outlines the different phases of

the learning path, as well as the specific courses encompassed within each phase.

Upon successful completion of all the courses within the learning path, participants

will earn the associated Credly Badge, which validates their achievement in this

learning path.

Statistics Essentials

Data Science

Data Science with

Python

001 Essentials

36 mins

The aim of this self-paced course is to provide learners with a solid foundation in

Statistics, which is fundamental to the field of Data Science. Through this course,

learners will develop the necessary skills to recognize, analyze, and gain insights from

data.

The course covers the core principles of Statistics, including analysis

techniques and hypothesis testing. By applying these concepts to real-world business

scenarios, learners will gain the ability to effectively analyze data, draw conclusions,

and derive valuable insights. The topics covered through the course are: • The

fundamentals of Statistics and probability • The importance of Statistics in Data

Science • The difference between descriptive and inferential Statistics • The various

statistical analysis techniques • Hypothesis testing and its types • Probability and

Regression analysis Prerequisites Basic computing and data management skills

Audience Executives, Programmers, Data Scientists Assessment: Upon completing

this course, you will have the opportunity to demonstrate your understanding and

proficiency through an assessment. This assessment serves as a culmination of your

learning journey and allows you to apply the knowledge and skills you have acquired

throughout the course. Please note, that this is a multiple-choice question assessment

with two attempts to pass within a stipulated timeline.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Python Fundamentals

Data Science

Data Science with

Python

001 Essentials

136 mins

The goal of this course is to equip new programmers with a clear starting point and

solid foundation in Python. Learn the principles of Python and become acquainted with

the Python programming environment throughout this programme. By the end of the

course, learners will have obtained a thorough understanding of Python as well as the

skills required to boldly begin their programming adventure. This course will help you

comprehend the following often asked beginner questions: • The Basics of Python •

How to set up a Python environment on your system • Fundamental concepts,

variables, and data types in Python • Different data structures in Python • Control

structures and functions in Python Prerequisites: Basic knowledge of any

programming language and basic maths skills Target Audience: Application

Developers, Programmers, Data Scientists Assessment: This course is divided into

modules and upon completing each module, you will have the opportunity to

demonstrate your understanding and proficiency through an assessment. This

assessment serves as a culmination of your learning journey and allows you to apply

the knowledge and skills you have acquired throughout the course. Please note, that

this is a multiple-choice question assessment with two attempts to pass within a

stipulated timeline.

Data Science Essentials

Data Science

Data Science with

Python

001 Essentials

33 mins

This is an essential course, which equips individuals with the skills and knowledge

necessary to work with and derive insights from vast amounts of data. In this beginner

friendly course, you will embark on a comprehensive journey through the world of Data

Science. From the very foundations to its practical applications. In this course, you will

understand • The fundamentals of Data Science • Components of Data Science • Real-

life examples on Data science • Data Science vs. Business Intelligence (BI) vs. Machine

Learning (ML) • Life cycle and benefits of Data Science • Who is a Data Scientist and

What is the role of a Data Scientist • Skills and Challenges for a Data Scientist • Tools

and real-world applications of Data Science Prerequisites: Basic computing and data

management skills Target Audience: Executives, Programmers, Data Scientists

Assessment: To ensure your understanding and mastery of the course material, you

will be required to complete a final assessment of Multiple-choice questions at the end

of the course. Please note, that this is a multiple-choice question assessment with two

attempts to pass within a stipulated timeline.

Machine Learning and

Artificial Intelligence:

Essentials

Data Science

Data Science with

Python

001 Essentials

31 mins

The aim of this course is to provide learners with a comprehensive understanding of

Machine Learning (ML) and Artificial Intelligence (AI), its fundamental principles,

techniques, and its real-world applications. Through this course, learners will gain the

necessary knowledge and skills to effectively navigate the rapidly evolving landscape

of ML and AI. The course aims to help the learner understand: • Fundamental concepts

of Machine Learning, Artificial Intelligence, and Deep Learning • Differentiate between

Traditional Programming and Machine Learning • Explain Machine Learning’s life cycle

and its importance • Advantages of Machine Learning • Machine Learning Workflow,

applications, and use cases • Machine Learning and its various algorithms

Prerequisites: Basic computing and data management skills Target Audience:

Executives, Programmers, Data Scientists Assessment: Upon completing this course,

you will have the opportunity to assess your knowledge and skills through a

comprehensive assessment. Please note, that this is a multiple-choice question

assessment with two attempts to pass within a stipulated timeline.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Mastering Python

Programming

Data Science

Data Science with

Python

002 Deep Dives

450 mins

This course is intended to educate learners with the knowledge and skills necessary to

become proficient in Python programming. Get ready to embark on this Python

programming journey, while you delve into advanced topics and techniques, from

mastering complex data structures to understanding object-oriented programming

(OOP) principles. It includes hands-on labs to reinforce your learning and apply problem

solving concepts. This course covers: • The basic data structures in Python, such as

Lists, Tuples, Sets, and Dictionaries • Master the rich set of Python modules and

packages • Work with files in Python, including reading, writing, and manipulating data

• Understand object-oriented programming in Python, including classes, objects, and

inheritance • Work with regular expressions in Python to search, match, and extract

text • Use databases in Python to store and retrieve data Prerequisites: • Basic

knowledge of any programming language, basic math skills, Basics of Python • Must

have completed o9 Academy Training – “Python Fundamentals" Target Audience

Application Developers, Programmers, Data Scientists Assessment: This course is

divided into modules and upon completing each module, you will have the opportunity

to demonstrate your understanding and proficiency through an assessment. This

assessment serves as a culmination of your learning journey and allows you to apply

the knowledge and skills you have acquired throughout the course. Please note, that

this is a multiple-choice question assessment with two attempts to pass within a

stipulated timeline.

Data Science with

Python Programming

Data Science

Data Science with

Python

002 Deep Dives

340 mins

The aim of this course is to provide learners with a comprehensive understanding of

Data Science principles and techniques using the Python programming language. In

this course, you will gain practical skills in loading, cleaning, analyzing, and visualizing

data. You will have the opportunity to work with Python's robust libraries, including

NumPy, Pandas, Matplotlib, and Seaborn, to enhance your hands-on experience. This

will help you to: • Perform data analysis using NumPy • Perform data analysis using

Pandas • Visualize data using Matplotlib • Define Data Visualization using Seaborn

Prerequisites: Basic knowledge of any programming language, basic math Skills, basic

understanding of SQL Must have completed the following o9 Academy Training: •

Data Science Essentials • Machine Learning and ArtificiaI Intelligence: Essentials •

Statistics Essentials • Python Fundamentals • Mastering Python Programming Target

Audience: Application Developers, Programmers, Data Scientists, Big Data

professionals Assessment: This course is divided into modules and upon completing

each module, you will have the opportunity to demonstrate your understanding and

proficiency through an assessment. This assessment serves as a culmination of your

learning journey and allows you to apply the knowledge and skills you have acquired

throughout the course. Please note, that this is a multiple-choice question assessment

with two attempts to pass within a stipulated timeline.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Applying Data Science

Techniques using

Machine Learning with

Python

Data Science

Data Science with

Python

002 Deep Dives

9 hr 15

mins

This course equips learners with the knowledge and skills necessary to effectively

apply Data Science techniques and Machine Learning (ML) algorithms using Python.

This course provides a concise introduction to Machine Learning fundamentals,

covering its applications and types of algorithms. From supervised and unsupervised

learning to reinforcement learning and model evaluation, you will gain a solid

understanding of ML concepts and their practical use. It also provides hands-on labs

to reinforce your learning and apply the skills learned in real-world problem-solving.

This course will teach you to apply the following techniques using ML and Python: •

Data Preprocessing • Classification • Regression • Anomaly Detection • Association

Rules • Clustering • Time Series Prerequisites: Basic knowledge of any programming

language, basic math skills, problem-solving and logical thinking skills, and a basic

understanding of SQL Must have completed the following o9 Academy training: •

Statistics Essentials • Python Fundamentals • Data Science Essentials • Machine

Learning and Artificial Intelligence: Essentials • Mastering Python Programming • Data

Science with Python Programming Target Audience: Application Developers,

Programmers, Data Scientists, Big Data Professionals, and Anyone Interested in

Machine Learning Assessment: This course is divided into modules and upon

completing each module, you will have the opportunity to demonstrate your

understanding and proficiency through an assessment. This assessment serves as a

culmination of your learning journey and allows you to apply the knowledge and skills

you have acquired throughout the course. Please note, that this is a multiple-choice

question assessment with two attempts to pass within a stipulated timeline.

Introduction to Python &

PySpark Plugins

Data Science

Data Science with

Python

003 o9 Specific

Implementation

95 Mins

The goal of this course is to familiarize you with the Python and PySpark plugins on the

o9 Platform. These plugins enable you to execute Python scripts and utilize the built-in

Spark features. This will help you to understand: • What are Python Plugins and their

real-world application? • The architecture behind the Python plugin • How to configure

and run the Python plugins on the o9 Platform? • How to troubleshoot Python plugin

issues? • Dynamic Arguments • How to configure and run the PySpark plugins on the

o9 Platform? • How to setup and run AnaConda to execute different packages

Prerequisites: • Understanding of the Python and Python plugins • How to create a

Conda environment • Understanding of the o9 Platform Target Audience:

Programmers, Data Scientists

Python & PySpark Plugin

Readiness and

Troubleshooting

Data Science

Data Science with

Python

003 o9 Specific

Implementation

145 Mins

This course ensures your proficiency in Python and PySpark plugins for the o9

Platform, allowing you to troubleshoot any plugin-related issues. It also guides you in

setting up your local system, configuring Visual Studio, and establishing a Conda

environment for using Python and PySpark plugins. This will help you to understand: •

Local Setup and Debugging • Python Plugins on the o9 Platform • Debugging Plugin

Errors • Python Plugins advanced usage for performance • PySpark Plugins on the o9

Platform Prerequisites: Experience in working with Python programming, Machine

Learning, and Data Science packages and tools Target Audience: Programmers, Data

Scientists

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Python Plugin -

Performance

Optimization

Data Science

Data Science with

Python

003 o9 Specific

Implementation

85 Mins

The aim of this course is to help learners understand how to optimize Python plugins

for enhanced performance when working with complex data sets. It provides an

overview of Python programming, its architecture, and the benefits it offers in the

context of the o9 Platform. Additionally, learners will gain knowledge on configuring a

basic Python Plugin and grasp the debugging process associated with it. This will help

you to understand: • Python Plugins and Execution • Code Execution Time • Tuning

Options • Slice Bucket Count • Spark Profile Config • Power User Settings • Auto

Resource Estimate • Coding Best Practices Prerequisites: Experience in working with

Python programming, Machine Learning and Data Science packages and tools Target

Audience: Programmers, Data Scientists

Introduction to AI

Predict Plugins

Data Science

Data Science with

Python

003 o9 Specific

Implementation

70 Mins

In this course you will learn how to use the Predict Plugin, understand Machine

Learning (ML) forecasting and the plugin architecture. This will help you understand: •

Artificial Intelligence (AI)/ML Forecasting • Plugin Architecture • o9Predict.ai

Prerequisites: Experience in working with Python programming, Machine Learning and

Data Science packages and tools Target Audience: Programmers, Data Scientists

Introduction to Jhub

Data Science

Data Science with

Python

003 o9 Specific

Implementation

60 Mins

In this course, you will understand Artifical Intelligence(AI)/Machine Learning (ML),

JupyterHub and Git interactions. You will learn the usage of: • Jupyter Notebooks •

Conda Environment • Workflows for updating Plugins in Packages • Git Interactions

Prerequisites: Experience in working with Python programming, Machine Learning and

Data Science packages and tools Target Audience: Programmers, Data Scientists

Assessment: Upon completing this course, you will have the opportunity to assess

your knowledge and skills through a comprehensive assessment. Please note, that this

is a multiple-choice question

assessment with two attempts to pass within a stipulated timeline.

Segmentation, Artificial

Intelligence and Machine

Learning Clustering

Data Science

Data Science with

Python

003 o9 Specific

Implementation

95 Mins

This course will enable you to use Artifical Intelligence (AI) and Machine Learning (ML)

clustering to derive detailed cluster membership for each intersection and to derive

feature details from a member level using the o9 Platform. This will help you to: •

Understand AI/ML Clustering • Review use cases on Store Clustering and Assortment

Planning • Preview demos on sub-segmentation capabilities and AI Clustering

Prerequisites: Experience in working with Python programming, Machine Learning and

Data Science packages and tools Target Audience: Programmers, Data Scientists

AI Store Clustering -

Functional Guide

Data Science

Data Science with

Python

003 o9 Specific

Implementation

120 Mins

This functional guide covers the functional design for the Artifical Intelligence (AI)

Store Clustering Module. The guide lists the tool design, functions, and features to

transform the business requirements of a client into functional requirements.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Basic Exploratory Data

Analysis using Python - A

Case Study

Data Science

Data Science with

Python

004 Case Studies

40 Mins

In this case study, you will learn to perform a basic Time Series Exploratory Data

Analysis on a data set for the requirement stated in the problem statement. By

reviewing the problem statement document, you will: • Understand the case study

guidelines • Identify the method by which you can solve the problem and submit the

solution • Understand the problem statement Note: The case study solution

document has the instructions to solve the problem. We recommend that you first try

solving the problem and then review the solution document. Prerequisites: Experience

in working with Python programming, Machine Learning, and Data Science packages

and tools Target Audience: Programmers, Data Scientists

Forecasting with Time

Series using Python - A

Case Study

Data Science

Data Science with

Python

004 Case Studies

30 mins

In this case study, you will learn to perform Time Series Decomposition on a data set

for the requirement stated in the problem statement. By reviewing the problem

statement document, you will: • Understand the guidelines for the case study •

Determine the best strategy for solving the challenge and submit your answer •

Recognize the problem statement Note: The methods for solving the problem are

included in the case study solution document. We recommend that you first attempt

to solve the problem before reviewing the solution document. Prerequisites:

Experience in working with Python programming, Machine Learning, and Data Science

packages and tools Target Audience: Programmers, Data Scientists

Exploratory Data

Analysis, Forecasting,

and Outlier Treatment -

An Assignment

Data Science

Data Science with

Python

004 Case Studies

60 mins

This assignment will help you gauge your Data Science skills using Python

programming. You can review the assignment document and download the required

lab files from the course page. The problem statements are from the following two

topics: • Data Pre-processing, Forecasting, and Hierarchical Forecasting • Outlier

Correction By reviewing the problem statement document, you will: • Gain a clear

comprehension of the assignment guidelines • Determine the submission method for

your solution • Comprehend the problem statement Prerequisites: Experience in

working with Python programming, Machine Learning and Data Science packages and

tools Target Audience: Programmers, Data Scientists

Beginners Guide to

Forecasting Using R

Data Science

Data Science with R

Essentials

150 Mins

This course introduces the foundation of forecasting methods using time series

graphics and some basic forecasting methods that can aid the learners in their daily

forecasting activities. The course also explores a few established methods used to

obtain reliable judgmental forecasts.

o9 Platform Architecture

– About Live Server

o9 Platform

Architecture

24 mins

In this session, you will get a high-level insight into the components of o9 Platform

Architecture, with more focus on Live Server or Graphcube Server.

o9 Platform Architecture

o9 Platform

Architecture

15 Mins

This module provides a high level overview on how all the components work and

communicate with each other that forms the architecture of the o9 Platform.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Report Designer Widgets

(2023)

o9 Platform Modeling

133 mins

This course provides an overview of the following widgets: 1. Pivot - Beginner 2. Pie

Chart 3. Bubble Chart 4. Horizontal Bar Chart 5. Waterfall Chart 6. Gauge Chart 7. Line

Chart 8. o9 Online Meeting 9. Bubble Chart 10. Calendar 11. KPI Note: 1. Most of the

videos in this course are for "view only". You cannot simulate the navigational steps, as

you might not have access to a working environment (tenant). 2. Guage Chart, Geo

Map, Calendar & KPI have simulations as they are part of our recent SCORM

development project. Feel free to share your feedback on your experience. 3. Keep a

watch on this course as there will be an addition of more widgets.

o9 Platform Technical

Configuration - Level I

o9 Platform Modeling

548 mins

Enterprise Modeler

Configuration Associate

This Learning Program gives an insight into the building blocks of the o9 Platform, i.e.,

the backend, front-end/ presentation layer, and simple business logics. You will learn

about o9’s proprietary GraphCube Server or Live Server that is our database, and the

model elements that stores the data. The Program will help you understand how to

create the Model components, load the data into the o9 Platform, create Rules using

Scopes, create Active Rules, configure the UI elements, create Action Buttons to be

used by the end-user, and know the use of some of the default workspaces such as

Debugging & Deployment Workspaces. This program includes the following

modules: - o9 Platform Architecture - Introduction to Candy & More (Case Study)

Platform Environment and Tenants - Basic Modelling Constructs - Reading or

Interpreting Data - Version & Scenarios - NamedSets and Scope Types - Regular

Scope - Rules & Scope - More Examples - Active Rules & Reporting Measures

- Creating Widgets and UI Elements - Creating Pulse Widget - Alerts & Tasks -

Creating Action Buttons - Data Security Rules - Tenant Backup and Restore Note: 1.

Download the dataset zip file, from the “files” section, to perform the tutorials &

assignments. 2. To practice the assignments & tutorials, you will need access to a

tenant. Please reach out to your Project Manager for further details. **NOTE** -

Successful completion of this program will result in earning Credly Open Badge. -

Learners should pass the assessment(s) and complete feedback to be eligible to earn

the Credly Open Badge. - Credly Open Badges will be issued every second/third week

of the month.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

o9 Platform Technical

Configuration - Level II

o9 Platform Modeling

367 mins

Enterprise Modeler

Configuration

Professional

This Learning Program focuses on writing complex business logics using more scope

types. You will understand how to use other scope types and learn to write simple

plugins using R or Python. You will implement Cartesian Scope, Spread Scope, and

Recurrence Scope, and explore Action Buttons by adding more field binding types. You

will explore some advanced concepts such as Plugins, using JavaScript and Web API

connections, working with Edges and Measures in Graph Model, and many more. These

concepts will give you more insight into further configuring your Model. This program

includes the following modules: - Implement Cartesian Scope - Implement Spread

Scope - Spread Scope - Other Types - Implementing Evaluate Member and Recurrence

Scope - Action Buttons – More Field Binding Types - Creating Procedures - Graph

Modeling - Graphs - Working with Edges and Measures - Using JavaScript and API -

Config Management - Model Library - Debugging Common Errors and Using Logs -

Plugins Using R - Plugins Using Python Note: 1. Download the dataset zip file, from the

“files” section, to perform the tutorials & assignments. 2. To practice the

assignments & tutorials, you will need access to a tenant. Please reach out to

your Project Manager for further details. **NOTE** - Successful completion of this

program will result in earning Credly Open Badge. - Learners should pass the

assessment(s) and complete feedback to be eligible to earn the Credly Open Badge. -

Credly Open Badges will be issued every second/third week of the month.

Parameterized

Procedures

o9 Platform Modeling

20 mins

In this module, you will learn how to create Parameterized Procedure and the idea

behind creating a Parameterized Procedure. The module discusses a few use-cases

demonstrating the use of Parameterized Procedures.

Action Buttons -

DataSource Fieldbinding

Types

o9 Platform Modeling

30 mins

In this course, you will learn about the functionality of various Fieldbinding types that

are categorized as DataSource Fieldbindings.

Action Buttons -

Miscellaneous

Moustache Templates

o9 Platform Modeling

30 mins

In this course, you will learn about the functionality of various Fieldbinding types that

are categorized as Miscellaneous Moustache templates.

Action Buttons - Parent

Attribute Fieldbinding

Types

o9 Platform Modeling

30 mins

In this course, you will learn about the functionality of various Fieldbinding types that

are categorized as ParentAttribute FieldBindings.

Action Buttons - Basic

Fieldbinding Types

o9 Platform Modeling

45 mins

In this course, you will learn about the functionality of various Fieldbinding types that

are categorized as Basic FieldBindings.

IBPL for Beginners

o9 Platform Modeling

180 Mins

This Integrated Business Planning Language (IBPL) beginners course gives you an

insight into how you can use IBPL to query your member data, manage your members,

understand the concepts of graph and relationships, create rules, and implement data

security. The topics of this particular course module are published as PDF documents.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Report Designer Widgets

(2020)

o9 Platform Modeling

200 Mins

This course provides an overview of the following widgets: 1. Pivot 2. Bubble Chart 3.

Line Chart 4. Network 5. NLP Report 6. Pulse 7. KPI 8. Calendar 9. Task 10. Master Data

11. NLP Analytics 12. Geo Map 13. Indented Grid 14. Scenario Manager 15. Where Used

Note: The videos in this program are for "view only". You cannot simulate the

navigational steps, as you might not have access to a working environment (tenant).

Design for Performance -

A Solution Architect’s

Handbook

Performance

Improvement Series

112 mins

Design for Performance

Architect

This program aims to deliver the: - Key design and solution principles to use when

defining the architectural landscape for a large-scale implementation - Functional

reasoning to support the design principles, for SAs to leverage in their conversations

with the customer - Examples and use case from implementations that have proven

results

Profiling & Fine Tuning in

Performance

Improvement Series

94 mins

Performance Tuning

Specialist in UI

The overall objective of this course is to educate learners on tuning strategies that can

be adopted to improve the overall performance of the model. The course will give a

good handle on the below areas: -- Profiling techniques to debug the performance

issues & bottlenecks in UI -- Fine tuning strategies that can be used to improve

performance -- Examples and use cases from implementations that had proven

results Required prerequisites: - Proficiency in IBPL with hands-on experience in UI

Constructs and UI navigation - Clear understanding of basics and awareness of live

server best practices - o9 Platform Technical Configuration - Level I course on LMS

The course is useful if the learner is – --Facing performance issues in UI load time and

looking for solutions to improve --Interested to learn the best practices for designing

UIs that are performance effective

Profiling & Fine Tuning in

SCS

Performance

Improvement Series

120 mins

Performance Tuning

Specialist in SCS

The overall objective of this course is to provide a good understanding of performance

considerations to be done in solver. The course will give a good handle on these areas -

Profiling solver run times for identifying bottlenecks - Understanding solver traces and

Understanding solver traces and how to optimize solver behaviour - Performance

tuning parameters in the solver configuration Pre-requisites: The course is best

appreciated and absorbed by a learner if the following criteria are met, - Basic

understanding of supply chain planning process & concepts - Completion of

course “Beginner’s Guide to Supply Chain Solver (SCS)” in LMS (Mandatory) -

Completion of course “Intermediate Guide to Supply Chain Solver (SCS)” in LMS

(Recommended) The course is helpful if the learner is – - Facing performance issues in

SCS plugin and needs a solution - Willing to educate themselves on design

considerations in modeling for performance & Scalability

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Profiling & Fine Tuning in

IBPL & LS

Performance

Improvement Series

238 mins

Performance Tuning

Specialist in IBPL & LS

The overall objective of this course is to educate learners on tuning strategies that can

be adopted to improve the overall performance of the model. The course will give a

good handle on the below areas: -- Profiling a model to debug the bottlenecks &

identify performance improvement areas -- Fine tuning strategies that can be used --

Examples and use cases from implementations with proven results Pre-requisites: --

LS Modelling Best Practices - Model Construction The course is useful if the learner is

– -- Facing performance issues in a project or a model and looking for solution -- Keen

on learning the design principles for performance & scalability Reference Link –

https://sites.google.com/o9solutions.com/industrysolutions/plugin-coe/query-

performance

LS Modelling Best

Practices - Model

Construction

Performance

Improvement Series

340 Mins

This program talks about some best practices related to modeling constructs and also

some dos and don'ts that one should keep in mind while designing a model.

Beginner’s Guide to

Supply Chain Solver

(SCS)

Solver Plugins

Supply Chain Solver

(SCS)

200 mins

o9 Supply Chain Solver -

Associate

The primary goal of the Supply Chain Solver (SCS) is to make a demand supply match

by adhering to the business priorities/rules such as Demand/Customer Priorities,

Inventory Policies, and Demand Fulfilment. The secondary goals include the following: 

Excess inventory to be minimized  Costs to be reduced  Product time to market to be

improved  Agility and resilience to be enhanced The solver works by taking inputs and

processing them to generate the feasible plan or output. In this course, you will learn

the basics of:  Supply Chain Solver Inputs  Supply Chain Solver Algorithms  Supply

Chain Solver Outputs **NOTE** - Successful completion of this program will result in

earning Credly Open Badge. - Learners should pass the assessment(s) and complete

feedback to be eligible to earn the Credly Open Badge. - Credly Open Badges will be

issued every second/third week of the month.

SCS Debugging Series

Solver Plugins

Supply Chain Solver

(SCS)

30 mins

This module includes short videos on various features available for users when

Debugging in SCS. The videos available in this series are: 1. How to Create SCS TFS? 2.

Solver Timings Increased 3. Output Changed on Porting to New Environment 4. How to

Validate SCS Plans? 5. How to Read Logs?

SCS Features and

Capabilities

Solver Plugins

Supply Chain Solver

(SCS)

60 mins

The Supply Chain Solver (SCS) is the flagship feature of the o9 Platform. This module

provides an overview of the features and capabilities of the SCS. Duration - 1 hour

Category Level I: Industry Digital Brain

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Vendor Splits &

Alternate Vendors for

Each Part

Business Model

Characteristics

5 MINS

In this course, you will learn:

- What are the business model characteristics Vendor Splits and Alternate Vendors for

Each Part?

- What are the advantages of using Vendor Splits?

- In which industries are Vendors Splits important?

- What is the value leakage if Vendor Splits are not managed well?

- Which planning processes and decisions do Vendor Splits influence?

- What are o9’s solutions for Vendor Splits?

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Multi-Tier Distribution

Networks

Business Model

Characteristics

21 mins

In this course, you will learn: - What are multi-tier distribution networks? - Which

industries are they important for? - What is the value leakage if a multi-tier

distribution network has incorrect inventory? - What data does o9 maintain on

distribution lanes (also called routes to market or BODlanes)? - What are the plans

that o9 generates regarding multi-tier distribution networks?

Raw Material Transition

Planning

Business Model

Characteristics

8 mins

In this course, you will learn: - What is raw material transition planning? - Which

industries is it important for? - What is the value leakage? - What are the o9's

solutions for raw material transition planning?

Fulfillment Models

Business Model

Characteristics

25 mins

In this course you will learn: - What are fulfillment models? - What are build to order,

build to stock and configure to order fulfillment models? - Which industries are

characterized by each fulfillment model? - What is the value leakage if fulfillment

models are not modeled correctly? - How does o9 accommodate fulfillment models?

Material Requirements

Planning

Consumer Products (CP)

12 mins

In this course, you will learn: - What is material requirements planning? - Which

industries is it important for? - What is the value leakage if you don't have effective

material requirements planning? - What are o9's solutions for material requirements

planning?

Introduction to

Consumer Products

Industry

Consumer Products (CP)

17 mins

In this course, you will learn: - What are the characteristics of the consumer products

industry? - What are the challenges industry clients face in supply chain planning? -

What are the key supply chain decisions that industry clients must make? - What are

o9 solution capabilities clients can use to address challenges? - What is the value

proposition for clients using the o9 platform?

Co-manufacturers, Co-

packers, and Re-packers

Consumer Products (CP)

4 mins

You will learn - What are co-manufacturers, co-packers, and re-packers? - Which

industries are they important for? - What is the value leakage? - Which of o9’s

solutions are influenced by co-manufacturers, co-packers, and re-packers?

Production Campaigns

Consumer Products (CP)

9 mins

In this course, you will learn: - What are production campaigns? - Which industries are

they important for? - How are production campaigns integrated into the planning

process? - What is the value leakage if production campaigns are not used in

planning? - How does o9 manage production campaign data? - How does o9 generate

constrained production plans using production campaigns?

Sourcing Prioritization

Consumer Products (CP)

7 mins

In this program, you will learn: - What is sourcing prioritization? - What problems does

it solve? - How does o9 compute sourcing prioritization for single-tier and multi-tier

distribution networks?

Finished Goods

Transition Planning

Consumer Products (CP)

7 mins

You will learn: - What are the business use cases of finished goods transitions? - How

does the o9 system handle finished goods transitions?

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Push Planning

Consumer Products (CP)

4 mins

You will learn: - What is push planning? - When is push planning needed? - How does

the o9 platform accommodate various push planning use cases?

Route to Market

Consumer Products (CP)

4 mins

You will learn what route to market is and why it is important in o9. Additionally, you

will learn how o9 utilizes route to market to set the foundation for the next step in the

process, sourcing prioritization.

Shelf Life

Consumer Products (CP)

16 mins

You will learn - What is shelf life? - Which industries is it important for? - What is the

value leakage if shelf life is not managed well? - Which planning processes and

decisions does shelf life influence? - What are o9’s solutions for managing shelf life? -

How does o9 incorporate shelf life into end-to-end planning? - How does o9 support

inventory rebalancing?

Storage Constraints

Consumer Products (CP)

4 mins

You will learn: - How can you manage storage constraints at DCs, in both the short-

term and longer term? - How can the o9 system aid in this process by providing

visibility into storage constraints, and in later phases, providing rebalancing

recommendations?

Telecom Devices:

Industry Overview

Retail, Distribution and

Apparel & Footwear

(RDAF)

22 mins

In this course, you will learn: - What are the challenges industry clients face in supply

chain planning? - What are the key supply chain decisions that industry clients must

make? - What are o9 solution capabilities clients can use to address challenges? -

What is the value proposition for clients using the o9 platform? - What are the

business model characteristics involved in this industry? - What is the recommended

o9 solution to solve Telecom Devices client challenges?

o9 Knowledge Masters in

Retail

Retail, Distribution and

Apparel & Footwear

(RDAF)

Retail

490 mins

Consumers have many options when it comes to choices in retailers, products,

channels, and fulfillment options. Retailers face a stream of challenges to drive

customer loyalty and financial results. The o9 Knowledge Masters in Retail Program

will help you understand the concepts of Retail Planning and Retail Operations.

Through this program you will learn the competitive strategies retailers use to move

past their challenges and move forward to fulfill consumer needs, thereby growing

their businesses and maintaining their brands. After completing this program, you

should be able to: o Describe retailing, the entities involved, and the impact of

decisions on a retail business o List the characteristics of the different types of

retailers o Describe why it is important for retailers to research and understand their

customers o Summarize the key challenges facing retailers o Identify key roles within

retail businesses o Identify the models of buying processes in retail o Outline

considerations taken by retailers when buying merchandise o Explain the importance

of strategic planning to retailers o Understand the Merchandise Planning Process o

Summarize the financial strategies used in retail businesses o List the key aspects of

efficient retail operations o Identify retail pricing and sales strategies

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

o9 Telecom

Infrastructure Solution

Retail, Distribution and

Apparel & Footwear

(RDAF)

65 mins

In this course, you will learn: - What are the challenges industry clients face in supply

chain planning? - What are the key supply chain decisions that industry clients must

make? - What are o9 solution capabilities clients can use to address challenges? -

What is the value proposition for clients using the o9 platform? - What are the

business model characteristics involved in this industry? - What is the recommended

o9 solution to solve telecom infrastructure client challenges? Release 2023.10

Retail Math and

Performance Metrics

Retail, Distribution and

Apparel & Footwear

(RDAF)

Retail

63 mins

Retail Math and Performance Metrics is an ideal program to learn the fundamental

principles and skills necessary to analyze the pricing strategies commonly practiced

by retail merchandisers in their daily jobs. You will learn commonly used performance

metrics including Mark- up, turnover, and margin calculations, used to measure retail

performance at an individual item, category, or company level. The core focus is on

demonstrating how to apply Retail Math formulas to a specific merchandising

situation. You will be solving a bunch of merchandising problem statements for a

thorough understanding of the Retail industry. There is a test at the end of this

program, designed to check the knowledge you gained on these basic mathematical

principles.

o9 Planning Solutions for

the Telecom Industry

Retail, Distribution and

Apparel & Footwear

(RDAF)

Telecom Retail

360 mins

The o9 Planning Solutions for the Telecom Industry program covers all the key supply

chain flows for the network supply chain of a Telecom provider. This includes process

flows, process maps, user stories, data integrations, data specifications for demand

planning, procurement, vendor collaboration, inventory optimization, and order

allocation workflows. After completing this program, you will be able to explain various

process flows associated with the Telecom solution, demonstrate basic navigation in

the o9 platform, and demonstrate various steps in the process flows: Demand

Planning, Supply Planning, Inventory Optimization, and Order Allocation.

Supply Chain Planning

for the Telco Devices

Industry

Retail, Distribution,

Apparel & Footwear and

Telecom (RDAFT)

108 MINS

Telecommunications technology is changing at a rapid pace, and the market is highly

competitive. Building strong supply and demand capabilities for Telecom network

operators is crucial.

This course is designed to help you understand how o9’s Industry Digital Brain

platform, with its advanced supply and demand capabilities, enables better and faster

decisions.

This course will give you insights into how the o9 Platform supports the Supply Chain

Planning domain for the Telecom Device industry.

Capital Equipment and

Machinery: Industry

Overview

Supply Industrial

Manufacturers (SIM)

Capital Equipment

24 mins

In this course, you will learn: - What are the challenges industry clients face in supply

chain planning? - What are the key supply chain decisions that industry clients must

make? - What are o9 solution capabilities clients can use to address challenges? -

What is the value proposition for clients using the o9 platform? - What are the

business model characteristics involved in this industry? - What is the recommended

o9 solution to solve Capital Equipment and Machinery client challenges?

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Business Characteristics

of the Auto Supplier

Industry

Supply Industrial

Manufacturers (SIM)

Auto Supplier

50 mins

In this course, you will learn about: 1. The key industry characteristics of the auto

supplier industry. 2. The business characteristics, challenges, and value leakage areas

for the auto supplier industry. 3. o9's solutions and value propositions for the auto

supplier industry. 4. The o9 Digital Brain and solution building blocks for the auto

supplier industry. Note: This course will be continually updated with the addition of

new units. Consequently, each time a new unit(s) is/are added, the overall learning

progress percentage will correspondingly alter. To ensure the progress indicator

displays 100% or completed status, it is important to view the newly added units.

Business Characteristics

of the Semiconductor

Industry

Supply Industrial

Manufacturers (SIM)

Semiconductor

50 mins

In this course, you will learn 1. The key industry characteristics of the semiconductor

industry. 2. The business characteristics, challenges, and value leakage areas for the

semiconductor industry. 3. o9's solutions and value propositions for the

semiconductor industry. 4. The o9 Digital Brain and solution building blocks for the

semiconductor industry. Note: This course will be continually updated with the

addition of new units. Consequently, each time a new unit(s) is/are added, the overall

learning progress percentage will correspondingly alter. To ensure the progress

indicator displays 100% or completed status, it is important to view the newly added

units.

Category Level I: Solution Building Blocks

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

What's New in Demand

Planning Solution

Building Blocks

R2023.07?

Demand Planning

404 mins

R2023 Demand Planning

Functional Professional

The R2023.07 Demand Planning and IBP products introduce several significant

improvements in this release. These enhancements include three primary changes:

Config Blocks, Config 2.0, and support for Additional Dimensions. In this course, you

will find a comprehensive video that explains these key enhancements. Additionally,

there is a document that starts by outlining these fundamental changes and then goes

on to provide detailed explanations of the various enhancements within each config

block. To assess your understanding of these improvements, there is also an

assessment included in the course.

Collaborative Demand

Planning Building Block -

Forecast Layers

Demand Planning

Collaborative Demand

Planning Foundation

4 mins

These knowledge videos talk about the L3 Solution Capabilities within Collaborative

Demand Planning Building Block. This is one of the foundational building blocks in

Demand Planning. These videos cover the what, and the why of the capability.

Stat/Basic ML

Forecasting Building

Block - Analysis Cockpit

Demand Planning

Basic ML / Stat

Forecasting

3 mins

These knowledge videos talk about the L3 Solution Capabilities within Stat/Basic ML

Forecasting Building Block. This is one of the foundational building blocks in Demand

Planning. These videos cover the what and the why of the capability.

Collaborative Demand

Planning Building Block

Demand Planning

Collaborative Demand

Planning Foundation

15 mins

This short program is about one of the Foundational Building Block in the Demand

Planning space. The videos in this program talks about the need for this building block,

what are the decisions made, the inputs, the outputs and lists some of the capabilities.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Collaborative Demand

Planning Building Block -

Process Orchestration

Demand Planning

Collaborative Demand

Planning Foundation

5 mins

These knowledge videos talk about the L3 Solution Capabilities within Collaborative

Demand Planning Building Block. This is one of the foundational building blocks in

Demand Planning. These videos cover the what, the why, and the how of the capability.

Collaborative Demand

Planning Building Block -

Scenarios

Demand Planning

Collaborative Demand

Planning Foundation

5 mins

These knowledge videos talk about the L3 Solution Capabilities within Collaborative

Demand Planning Building Block. This is one of the foundational building blocks in

Demand Planning. These videos cover the what, the why, and the how of the capability.

Stat/Basic ML

Forecasting Building

Block - Outlier

Correction

Demand Planning

Basic ML / Stat

Forecasting

6 mins

These knowledge videos talk about the L3 Solution Capabilities within Stat/Basic ML

Forecasting Building Block. This is one of the foundational building blocks in Demand

Planning. These videos cover the what, the why, and the how of the capability.

Stat/Basic ML

Forecasting Building

Block - Segmentation

Demand Planning

Basic ML / Stat

Forecasting

5 mins

These knowledge videos talk about the L3 Solution Capabilities within Stat/Basic ML

Forecasting Building Block. This is one of the foundational building blocks in Demand

Planning. These videos cover the what, the why, and the how of the capability.

Demand Planning 101

Series

Demand Planning

Collaborative Demand

Planning Foundation

40 mins

This is a series of short videos to familiarise you to Demand Planning concepts.

Forecast Process

Demand Planning

Basic ML / Stat

Forecasting

31 mins

In this course, you will learn the Forecast Process in the Retail industry. The course

covers the workflows related to Retail Forecast, Daily Forecast and Wholesale

Forecast.

o9 Knowledge Masters in

Demand Planning

Collaborative Demand

Planning Foundation

235 mins

o9 Knowledge Masters in Demand Planning will help you to understand Demand

Planning concepts and the application of forecasting solutions in complex business

scenarios. The Program covers associated parameters that will help to optimize a

demand forecast and improve Supply Chain Performance. The Program further delves

into the usage of cutting-edge technologies like AI, Machine Learning, and Deep

Learning-based Models to help planners create a reliable Demand Forecast Model. The

program is also packed with the guiding principles to implement Demand and Supply

Integration (DSI) for businesses to help them contribute to a seamless Supply Chain

Operation. After completing this Program, you should be able to:  Formulate an ideal

Demand Planning approach based on your business scenario  Estimate a Demand

Function analyzing the dependents  Arrive at a Consensus Forecast from within your

organization  Tune the Forecast further using Machine Learning and Deep Learning

Models  Enable Demand Supply Integration (DSI) to exhibit Demand Planning

Excellence

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Integrations using SSIS

& Reference Product

Integration R2022.09

Digital Twin (Data &

Knowledge

Management)

Planning Data

Foundation

19 Hours

Integrations Specialist -

Reference Product

R2022.09

Required prerequisites: - General understanding of Cloud technology - Must complete

the SSIS Essentials Learning Path - Must have attended - o9 Enterprise Modeler

Technical Workshop This is an ideal course to learn the technique of extraction,

transformation, and loading (ETL) with SQL Server Integration Services (SSIS) and the

data integration mechanism used at o9. Apart from using various transformation

tasks in SSIS, you will learn about SSIS CozyROc components, o9-specific SSIS

components, and the o9 Reference Model Integration. This course revolves around

tutorials, i.e., hands-on labs and case studies to reinforce learning. At the end of this

course, you will get an overview of GitHub, the Big Data ecosystem, Hadoop, Hive, and

Spark. You can perform the Tutorials and Case Studies if you have access to o9

tenant. You start by preparing your practice environment, go through tutorials to get

familiar with SSIS, solve case studies that are based on SSIS, and SSIS with Reference

Model Integration. **NOTE** - Successful completion of this course will result in

earning Credly Open Badge. - Learners should pass the certification exam and

complete feedback to be eligible to earn the Credly Open Badge. - Credly Open Badges

will be issued every second/third week of the month.

What's NEW in

Reference Model

Integration R2022.12

Digital Twin (Data &

Knowledge

Management)

Planning Data

Foundation

138 mins

Integrations Specialist -

Reference Product

R2022.12

This course revolves around additional features and updates that were added as part

of the o9 Reference Model Integration Product R2022.12. This is an ideal course to

learn the technique of extraction, transformation, and loading (ETL) with SQL Server

Integration Services (SSIS) and the data integration mechanism used at o9. You can

go through this course to upgrade your skills to align with the latest o9 Reference

Model Integration Product (R2022.12), but for doing so you need a vivid knowledge of

the previous o9 Reference Model Integration Product (R2022.09). Required

prerequisites: - General understanding of Cloud technology - Must complete the SSIS

Essentials Learning Path - Must have attended: o9 Enterprise Modeler Technical

Workshop - Must complete the course: Integrations using SSIS & Reference

Product Integration R2022.09 **NOTE** - Successful completion of this course will

result in earning Credly Open Badge. - Learners should pass the certification exam and

complete feedback to be eligible to earn the Credly Open Badge. - Credly Open Badges

will be issued every second/third week of the month.

AOTP Retail Functional

Class

Integrated Business

Planning

IBP Foundation

10 Hours

In this program, you will learn about the o9 Retail Platform. The program covers the

key differentiators and capabilities of the o9 Platform. The program introduces you to

retail and wholesale workspaces and functionalities developed for o9 Customers. You

will learn the process of Merchandise Financial Planning, Open-to-Buy Management,

Assortment Planning, and the activities of Forecasting and Replenishment in a retail

context. You will also be able to explore Allocation Planning capabilities through use

cases. You will be able to experience these activities through interactive simulations

during the program. Important Note: Please note that SCORM files have been

configured to send the completion status to the LMS only when all the slides are

viewed/all buttons are clicked (if there are any interactions required)/all videos are

viewed. If a learner quickly clicks on the "Next" button or drags to the video to reach

the end of the content, this might result in the completion status not being sent to the

LMS.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

o9 Platform Functional

Overview

Integrated Business

Planning

IBP Foundation

340 Mins

o9 IBP Platform -

Functional Associate

This course explains how o9 platform is relevant in the Supply Chain planning domain.

This course will help you identify the key differentiators and provide you with an

overview on how to navigate the Web UI, Excel UI and the Mobile UI. You will also be

able to identify the benefits of using o9 in different planning roles, including Demand

Planner, Supply Planner, S&OP Planner. Note: The videos in this program are for

"view only". You cannot simulate the navigational steps, as you might not have access

to a working environment (tenant). **NOTE** - Successful completion of this program

will result in earning Credly Open Badge. - Learners should pass the assessment(s) and

complete feedback to be eligible to earn the Credly Open Badge. - Credly Open Badges

will be issued every second/third week of the month.

Multi-Echelon Inventory

Optimization (MEIO)

Building Block

Supply Chain Planning &

Analytics

MEIO

32 mins

Multi-echelon inventory optimization (MEIO) balances inventories across the entire

supply chain network, considering the interdependencies between echelons.

Organizations that go beyond single-echelon inventory optimization (IO) offer highly

competitive service levels and see a reduction in – or elimination of – stockouts. This

course will enable you to understand: - How does the Multi-Echelon Inventory

Optimization (MEIO) building block address the complexities and inefficiencies in multi-

tiered supply chains by providing optimum inventory targets? - What are the inputs,

outputs, decisions, and key capabilities of the MEIO building block?

Day in the Life of an

Inventory Planner

Supply Chain Planning &

Analytics

MEIO

15 mins

This course explains how powerful of a tool Multi-Echelon Inventory Optimization

(MEIO) can be in helping inventory planners manage all kinds of uncertainty in the

supply chain, including demand uncertainty and lead time variability. It also covers the

various inputs for inventory planning and then walks you through the inventory

planning cycle from a strategic and tactical standpoint. The key topics covered in this

course are: 1) Introduction to MEIO 2) MEIO Key Inputs Deep Dive 3) MEIO Strategic

Planning 4) MEIO Tactical Planning

MEIO Essentials:

Navigating Functional

Capabilities

Supply Chain Planning &

Analytics

MEIO

90 mins

These refresher tutorials include hands-on exercises designed to help end users

familiarize themselves with the MEIO functionalities. Note: Keep a watch on this

program as there will be an addition of more content.

o9 Production

Scheduling: An Overview

Supply Chain Planning &

Analytics

Production Scheduling

50 mins

In this program, you will understand the overview of the Production Scheduling

process and its key concepts. This program explains the powerful capabilities of o9’s

platform that enables state-of-the-art Production Scheduling processes across

various industries. You will also understand the functional capabilities from an end-

user perspective.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Supply Planning

Reference Product

R2022 - Master Planner

Supply Chain Planning &

Analytics

SC Master Planning

Foundation

555 mins

R2022 Reference

Product Supply Planning

Master Planner

This Certification Program enables you to learn about Master Planner workflows of

o9’s Supply Planning Reference Product. You will learn the strategy behind the design

of this Reference Product, get a process deep dive and understand the overall data

flow. This Program provides a detailed explanation of how to deal with Plan Inputs

Data at various levels from the UI screens. Important Plan Parameters and their

impact on the Supply Chain Solver runs are mentioned. An overview of various Plan

Outputs is also given. Provision for hands-on activity has been given in multiple

modules. The Files section under this Program contains the relevant dataset and

configuration files that can be used to perform the hands-on activities using Tenants.

Please contact your o9 PoC for tenant access. Prerequisites: - Modelling details of

Supply Planning Reference Product (Mandatory) - o9 Platform Technical Configuration

- Level I (Recommended) - Beginner's Guide to Supply Chain Solver (Recommended) .

Supply Planning

Reference Product

R2022 - Implementer

Supply Chain Planning &

Analytics

SC Master Planning

Foundation

12 hrs

Supply Planning

Reference Product

R2022 - Implementer

This Certification Program enables you to learn about o9’s Supply Planning Reference

Product. You will learn the strategy behind the design of this Reference Product, get a

process deep dive and understand the overall data flow. This program provides a

detailed explanation of how to deal with Plan Inputs Data at various levels. Important

Plan Parameters and their impact on the Supply Chain Solver runs are mentioned. An

overview of various Plan Outputs is given. Provision for hands-on activity has been

given in multiple modules. The Files section under this Program contains the relevant

dataset and configuration files that can be used to perform the hands-on activities

using Tenants. All the documentation used in respective modules has also been

attached in this section. Prerequisite: - o9 Platform Technical Configuration - Level I

(Mandatory) - o9 Platform Technical Configuration - Level II (Mandatory) - Modelling

details of Supply Planning Reference Product (Mandatory) - Beginner's Guide to Supply

Chain Solver (Recommended)

Procurement Analytics

Reference Product

R2021.07

Supply Chain Planning &

Analytics

SC Segmentation &

Operating Policy

Foundation

95 Mins

Procurement analytics is the process of collecting and analyzing procurement data to

form meaningful insights and aid effective business decision-making. This program

covers the following:  Major Categories of Supply Chain Analytics  Supply Chain

Assumptions - Observed & Predicted  Key Inputs & Outputs of

Procurement Analytics  Demo of the Procurement Analytics Dashboard

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

o9 Knowledge Masters in

Supply Chain

Management

Supply Chain Planning &

Analytics

SC Master Planning

Foundation

373 mins

o9 Knowledge Masters in Supply Chain Management will enable you to develop key

skills and expertise in various aspects of the Supply Chain. The program focuses on the

fundamentals of the Supply Chain, such as Supply Chain Network Design, Inventory

Management, and concepts related to Logistics, Transportation, And Warehousing. It

also provides an understanding of Supply Chain Planning Processes, Risk

Management, Analytics, and Reporting Techniques that are being used across multiple

industries. You will learn about how various cutting-edge technologies enable

optimizing the Digital Supply Chain. After completing this Program, you should be able

to:  Define terminologies and definitions of Supply Chain, drivers within Supply Chain,

Supply Chain Capabilities, Network and Operations  Optimize the Inventory,

Transportation, Warehousing Services, and Costs  Explain Planning Processes, Data

Analytics skills, and tools to improve Supply Chain Performance  Discuss how to

minimize Disruptions, Reduce Risk and make your Supply Chain Resilient  Explain how

the cutting-edge technologies, existing system implementations, and proven best

practices can improve the efficiency of Supply Chain

Demand Netting

Overview

Supply Chain Planning &

Analytics

SC Master Planning

Foundation

30 mins

In this course, you will learn the basics of Demand Netting.

Pineapple Computers -

Case Study

Supply Chain Planning &

Analytics

SC Master Planning

Foundation

8 hours

This case study enables you to build a Model from scratch, configure the Solver and

implement some of the Supply Planning concepts such as Pegging, Lead Times,

Capacity Constraints, maintaining Safety Stock and Lot Sizes.

Basics of Supply Chain

Supply Chain Planning &

Analytics

SC Master Planning

Foundation

60 Mins

This course explains the system in which a supply chain works. You will be able to

identify the different stages that are involved in a supply chain function of any

industry. Some of the stages include Manufacturing, Transportation or Shipping,

Production, and Distribution.

Modelling details of

Supply Planning

Reference Product

Supply Chain Planning &

Analytics

SC Master Planning

Foundation

270 Mins

In this course, you will learn the basic concepts regarding Supply Chain Solver in

context to our o9 Platform. This course has 3 Modules. The basic objectives of the

Modules are to answer the following questions - - In a Supply Chain, what are the

Fulfillment and Process Models? - What are some of the core components involved

during planning a Supply Chain? - What do you need to configure as a pre-requisite in

the o9 Platform in order to effectively use the Supply Chain Solver?

Essentials of Supply

Planning

Supply Management

Supply Planning

120 MINS

This course offers valuable insights into the customer-consumer landscape,

highlighting its profound influence on the intricacies of supply planning. You will

develop proficiency in the essential vocabulary of Supply Planning, fostering effective

communication within the industry, along with a comprehensive understanding of the

strategies and processes that underpin successful supply planning across diverse

organizational contexts.

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

Integrated Workflows in

Supply Planning

Supply Management

Supply Planning

164 MINS

This course will help you to understand the comprehensive and seamless process

encompassing all supply chain stages, from planning to execution, using a single,

scalable data model. This course will discuss a unified framework, facilitating efficient

decision-making and optimizing supply chain performance through five different

workflows in the supply chain: Strategic, Tactical, Operational, Near-term, and

Executional.

Supply Planning -

Planning Processes

Supply Management

Supply Planning

190 MINS

This course is about understanding and mastering the steps involved in planning for

business success. You will understand Sales and Operations Planning (S&OP), its

definition, the decision-making process, and the tools involved. You will also

understand Demand Management, covering its purposes and elements. The course

then deep dives into Production Planning, discussing various strategies and the roles

of Master Production Schedule (MPS) and Material Requirements Planning (MRP),

explaining their steps, outputs, and benefits.

In addition, the course covers Capacity Requirement Planning (CRP), outlines its steps,

and explores various approaches. The course concludes with Scenario Planning,

preparing you to create successful strategies for any future business scenario.

Overall, this course equips you with the essential knowledge and skills to navigate the

planning process.

Supply Planning -

Planning Entities

Supply Management

Supply Planning

155 MINS

This course on Supply Planning Entities is designed to empower you with fundamental

concepts and insights into:

· Inventory Basics: Dive into the foundational concepts of inventory and grasp the

essentials of inventory management.

· Purchasing and Physical Distribution: Gain an understanding of the pivotal roles

played by purchasing and physical distribution within the intricate web of the supply

chain.

· Manufacturing Processes: Delve into the diverse manufacturing processes adopted

by organizations to fulfill their requirements, gaining valuable insights into their

operational dynamics.

· Decipher the Supply Chain Network: Gain a comprehensive understanding of how the

entire supply chain network operates, from end to end.

Insights into Control

Tower

Supply Management

Supply Planning

31 MINS

This course will introduce you to the concept of Control Tower, its components, and its

future trends and innovations. You will uncover the diverse Control Tower applications

across industries and understand its real-world impact on business dynamics.

o9 Academy Course Catalog

Course Title Category Level II Category Level III Category Level IV

Duration

(mins)

Associated Badge Title Description

o9 Knowledge Masters in

Procurement

Management

Supply Management

Procurement

15 Hrs

The o9 Knowledge Masters in Procurement Management Program is a specialized

training designed to cater to both freshers and professionals with 2-3 years of

experience in Supply Chain or related fields. Through a series of micro-videos, the

learners will develop a strong foundation in procurement management, covering

fundamental principles, strategic sourcing techniques, supplier relationship

management, and sustainable procurement practices. The program will focus on

building essential skills such as supplier relationship management, purchase order

processing, contract negotiation, and sustainable sourcing practices. The learners will

also delve into procurement evaluation and supply chain dynamics to enhance their

ability to optimize procurement outcomes. Whether you are starting your

procurement journey or seeking to advance your career, this program equips you with

the knowledge and expertise to excel in procurement management. Target Audience:

This program is suitable for freshers and professionals with 2-3 years of experience in

procurement, sourcing, supply chain, or related fields, seeking to enhance their

procurement management capabilities. Prerequisites: There are no specific

prerequisites for this course, but a basic understanding of procurement concepts or

industry experience would be beneficial. Completion Certification: Upon successful

completion of all the units, the learners will receive a completion certificate.

Solution Building Blocks

100 mins

These knowledge videos talk about the big picture of Integrated Planning, connecting

planning across merchandising, demand, and supply chain planning, connecting plans

across different planning cycles (daily/weekly/monthly/annual), and connecting these

to the broader digital transformation. - The DP L1 knowledge videos address broader

questions on key constructs of the demand planning process. - The DP L2 knowledge

videos address the specific Collaborative Demand Planning building block. - The Global

Supply Planning L2 knowledge videos (aka Supply Chain Master Planning in o9

terminology) address the specifics of what it is, key outputs/decisions, and

inputs/capabilities. NOTE: - These videos will be UPDATED frequently. Therefore,

please revisit this program every month. - More videos will be added, so keep a watch.