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 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:
The core technical content breakdown has been delineated below:
Content Type |
Duration (Hours) |
Delivery Type |
Delivery Mode |
|||
2nd Year |
3rd Year |
4th Year |
||||
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.
Machine Learning, Computer Vision, IoT, SAP Tech. Skills 5 Days Workshop
Workshop Objective/Outcome:
- To bridge the industry-academic gap by preaching the latest technology trends
- Exposure to different concepts, tools and algorithms in building intelligent systems through experiential learning
- Learn how to use Python libraries to develop Machine learning applications
- Use data analytics tools and technologies with ease
- Translate data-driven insights into decisions and actions.
- Equip themselves with knowledge in areas of Data Analytics, AI, ML and computer vision, Deep Learning
- Develop the SAP tech level skills to deploy applications based of SAP tools ABAP & Analytic Cloud
Workshop Prerequisite:
- Prior knowledge of basic python and its packages like NumPy, Pandas, and scikit-learn would be an advantage
- Working experience of Python Programming tools and IDE like Anaconda and Jupyter notebook
- Prior basic knowledge of Linux commands and familiar with Linux environment
Tools/Software requirements:
- Laptop/Computer with minimum i3 processor, 4GB RAM running with 64-bit Windows 10 or above along with access of internet connection with adequate speed.
- Anaconda for with python 3
Workshop Agenda:
| Sl. No. | Topic Description | Duration (30 Hrs.) |
| FDP Pre-assessment | ||
| Day-1 | ||
| 1. | Introduction – Workshop Agenda, Objective Data Analytics with Python · Numerical Python - NumPy · Pandas (Data Manipulation and data analysis) · Data Visualization Using Matplotlib and Seaborn Machine Learning Algorithms · Introduction – Machine Learning – Supervised, unsupervised ML · Linear Machine learning model (linear regression/ logistic regression and it's Evaluation matrices). | 6Hrs | Day-2 |
| 2. | Machine Learning Algorithms · Ensemble Machine learning models · Dimensionality Reduction Techniques (PCA) · Non-Linear Model (SVM & KNN) | 6Hrs |
| 3. | Deep Learning · Neural Networks – Neurons, Loss Functions, Weights · Gradient Descent and Back propagation · Convolutional Neural Network · Computer Vision – With Open cv and Keras | Day-3 |
| 4. | Hands-on session on Computer vision · Canny edge detection · Viola-Jones Algorithm for face detection · Face detection · Full body detection · Number plate detection | 6Hrs |
| 5. | IoT Fundamentals · Internet Usage and Population Statistics. · IoT in Technical Perspective. · Introduction to Raspberry Pi 4B. · Installation of operating system on Raspberry PI | Day-4 |
| 6. | Hands on with Raspberry pi and DFRobot · Hardware connection for DFRobot · Sensors and Actuators · LED interfacing with Raspberry PI · Light Sensor interfacing with Raspberry PI · Automatic streetlight · Button interfacing with Raspberry PI · Ultrasonic Sensor interfacing with Raspberry PI SAP Tech Skills SAP Business Technology Platform ABAP Environment · Understanding the SAP BTP platform · Creating a BTP ABAP Environment · Creating an ABAP Package | 6Hrs | Day-5 |
| 7. | ABAP RESTful Programming Model · Condition statement and looping with ABAP · Creating a Database Table · Create an ABAP Class · Conditional statement and looping with sap ABAP · Introduction of ABAP RESTful Application Programming Model · Developing a Read-Only List Report App · Enabling the Transactional Behavior of an App · Dealing with Existing Code SAP Analytics Cloud · Getting Started with Stories · Building Stories · Configuring Story Elements · Manipulating Data in Stories · Presenting Stories | 6Hrs |
| FDP Post assessment and Feedback | ||