Eligibility Criteria:
Credits: N/A.
Duration: 40 hours per module.
| COURSE CODE | COURSE NAME |
|---|---|
| MODULE 1: GENERATIVE AI | |
| Introduction to AI | |
| Machine Learning Fundamentals | |
| Generative AI Foundations | |
| Ethics in AI | |
| Tools and Frameworks | |
| MODULE 2: SOFTWARE DEVELOPMENT & ENGINEERING | |
| Programming Languages: Python, JavaScript, Java | |
| Frameworks: React, Django | |
| Version Control: Git and GitHub | |
| Software Development Life Cycle (SDLC) | |
| MODULE 3: DATA SCIENCE & MACHINE LEARNING | |
| Data Analytics: SQL, Excel, Tableau | |
| Machine Learning: TensorFlow, Scikit-learn | |
| Data Visualization: Matplotlib, Seaborn | |
| Capstone Project: Build a machine learning model | |
| MODULE 4: CLOUD COMPUTING | |
| Cloud Platforms: AWS, Microsoft Azure, Google Cloud | |
| Cloud Security Best Practices | |
| DevOps Basics: CI/CD pipelines | |
| Capstone Project: Deploying an application on the cloud | |
| MODULE 5: PROFESSIONAL SKILLS FOR REMOTE WORK | |
| Remote Collaboration Tools: Slack, Microsoft Teams, Zoom, Asana | |
| Freelancing Skills: Building portfolios, bidding on projects | |
| Soft Skills: Time management, cross-cultural communication, video meeting etiquette | |
| Career Development: LinkedIn optimization, job platform navigation | |