Curriculum

According to Salesforce, “Industrial Revolution 4.0 is a fusion of advances in AI, robotics, IoT, 3D printing, genetic engineering, quantum computing, and other technologies which is bringing about transformative changes in almost every industry and business.” Automation is transforming businesses and workplaces, and it has become highly imperative for the contemporary workforce to keep abreast of the emerging technologies and gain necessary domain skills.

The Centres of Excellence established by Edunet Foundation in collaboration with SAP across the selected engineering colleges in Gujarat, Maharashtra and Delhi will offer skilling opportunities to the students on the top emerging tech skills which include programing on Artificial Intelligence (AI) & Machine Learning (ML), Internet of Things (IoT), Data Science and Industry Specific SAP tools like SAP ABAP Programming and Data Analytics Tools SAP Analytics Cloud. The program helps the student acquire the skills relevant to the current industry needs, and thereby gain a competitive edge in the job market.

The program curriculum caters to the 2nd, 3rd, and 4th year students from the partner engineering colleges as summarised below:

Content Type		Duration (Hours)			Delivery Type	Delivery Mode
Content Type		2nd Year	3rd Year	4th Year	Delivery Type	Delivery Mode
1	Core Deep Tech Offering	~40	~55	~20	Instructor led	Hybrid
2	Industry Specific Modular Offering	~10	~15	~20	Instructor led	Hybrid
3	Employability Skills	-	~15	~15	Instructor led	Hybrid
4	Capstone Project	~20	~30	~60	Instructor led	Hybrid
Year-wise Total Hours		70	115	115

The core technical content breakdown has been delineated below:

II Year - Foundation Course

Overview of Foundation Course:

The Foundation Course under Code Unnati Program will be offered to the second and pre-final students pursuing engineering and other technical degree courses. This course will cover the pre-requisites required for Artificial Intelligence, Machine Learning, Data Analytics, Deep Learnings, Computer Vision Technologies of the Code Unnati Advance and Value-Added Course for the pre-final/final year students.

Learning Outcomes:

Demonstrate fundamentals of Python tools and its data analytics libraries.
Able to generate visualizations using Python.
Understand the concept and applications AI.
Understanding industry-specific SAP tool.

Foundation Course Outline (50 Hours)

1. Python Programming Language

Introduction to Python Programming
Python setup – Getting Started with Python
Python Object and Data Structure
Python Comparison Operator
Python Conditional Statements
Python OOPS Concept
Python Functions & Methods

2. Data Analysis with Python

Data Science vs Data Analysis vs Data Analytics
Working with Python for Data Science
Python packages for Data Analytics Applications
NumPy
Matplotlib
Pandas
Seaborn
Data Analysis Use Cases

3. Artificial Intelligence

Introduction to AI and Understanding different AI Terminologies
Understanding the Evolution of AI and the AI Winter Cycle
AI Applications Transforming Various Industries
Current AI Market Trends and Opportunities

4. SAP Conversational AI Chatbot

SAP – Overview, various services offered by SAP, SAP products
SAP AI conversational Chatbot Application – Hand on
Introduction to Chatbot
Deployment of Chatbot to Third Party Application

5. Capstone Project

Capstone Project is based on learning and students create prototype level solution for real life problems.
Design Thinking – way to solve problems with creative thinking.

III Year - Advance Course

Overview of Advance Course:

Code Unnati for the Advance course will be offered to the pre-final/final year students pursuing engineering and other technical degree courses. This course will cover the Advance Concept of Artificial Intelligence, Machine Learning, Data Analytics, Deep Learnings, Computer Vision with OpenVINO Toolkit and Internet of Things with Practical Hands-on based Experimental Learnings.

Learning Outcomes:

Apply the basic principles, models, and algorithms of AI to recognize, model, and solve problems in the analysis and design of information systems.
Analyze the structures and algorithms of a selection of techniques related to machine learning and Artificial Intelligence.
Able to design and implement various machine learning algorithms in a range of real-world applications.
Appreciate the underlying mathematical relationships within and across Machine Learning algorithms and the paradigms of supervised and un-supervised learning.
Be able to identify new application requirements in the field of computer vision using Deep Learning.
Able to solve real life challenges on Computer Vison Technology.
Design Prototype level solution using IoT.
Demonstrate Industry Specific Modules, SAP Technical Modules - SAP Advanced Business Application Programming (ABAP) on Business Technology Platform (BTP) environment.

Advance Course Outline (70 Hours)

1. Foundation Crash Course

Python Programming Concept
Data Analysis Using Python Programming
Numpy
Pandas
Matplotlib

2. Statistical Modelling and Predictive Analytics – Machine Learning

Introduction to Machine Learning
Realtime Application of ML
Classification vs Regression
Evaluation Matrices – Classification & Regression
Supervised Machine Learning Algorithms
Unsupervised Machine Learning Algorithms
Machine Learning with IoT

3. Internet of Things

Internet of Things – Market opportunities and use cases
Various types of Sensors and Actuators
IoT Protocol and Cloud integration
IoT Hardware and Software & implementation
Hands on with Raspberry pi and GrovePi+
Real life use case and solve problem using IoT

4. Deep Learning and Computer Vision OpenVINO Toolkit

Fundamentals of Deep Learning
Computer Vision Basics
Computer Vision – Hands on
Computer Vision with OpenVINO

5. SAP Advanced Business Application Programming (ABAP) on Business Technology Platform (BTP)

SAP – Introduction
SAP BTP ABAP Environment
ABAP on BTP
Hands on - ABAP programming

6. Capstone Project

Capstone Project is based on learning and students create prototype level solution for real life problems.
Design Thinking – Way to solve problems with creative thinking.

IV Year - Value-Added Course

Overview of Value-Added Course:

Code Unnati for the Value-Added course will be offered to those students who completed Advance Course of Code Unnati. This course will cover the Concept of IoT Cyber security and SAP analytics Cloud with Practical Hand on based Experimental Learnings.

Learning Outcomes:

Application of Security Measures in IoT
Demonstrate Industry Specific Modules, SAP Technical Modules- SAP Analytics Cloud.

Value-Added Course Outline (40 Hours)

1. IoT Cyber Security

What is IoT Security?
Various Security Concerns with IoT
IoT Vulnerabilities and Security Issues
Tools and Methods to Secure IoT Devices.
IoT Attacks, Risks and Countermeasures
Lightweight Cryptography, Challenges in Designing IoT Applications
Important Cyber Security Terminologies

2. SAP Analytics Cloud

Introduction to SAP Analytics Cloud (SAC)
Navigating in SAC
SAC Architecture
Creating New Story
Introduction to Different Chart Types and Styling
Conditional Formatting and Linking Models/Dimensions
Data Explorer, Exporting the Stories, Introduction to Comments, Bookmarks
Enhancing Chart visualization and interactions

3. Capstone Project

Capstone Project is based on learning and students create prototype level solution for real life problems.
Design Thinking – way to solve problems with creative thinking.