Course description

AI, Machine Learning & Python

Step into the world of Artificial Intelligence with a practical, beginner-friendly learning path designed for students, graduates, working professionals, career switchers, and anyone looking to build future-ready AI skills.

Start with Python and AI fundamentals, then progress through Data Science, Statistics, SQL, Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, LLMs, RAG, and Agentic AI.

The curriculum is built around practical application rather than theory alone. You will work on real-world projects such as customer churn prediction, sales forecasting, recommendation systems, fraud detection, NLP applications, AI research assistants, and AI automation workflows.

You will also learn how to turn your models into usable applications using tools such as Streamlit, FastAPI, Git/GitHub, Hugging Face, LangChain, LangGraph, OpenAI API, and other modern AI tools.

Whether you're starting from zero, adding AI skills to your existing degree, or planning a career transition, this course gives you a structured roadmap from Python fundamentals to building and deploying AI-powered applications.

Beginner to Advanced

Recommended for:

• Complete beginners with no AI/ML background
• College students from any year and any academic stream
• B.Tech / BCA / BSc / BE and other graduates
• Working professionals looking to upskill
• Career switchers moving into AI/ML
• Self-taught Python learners
• Aspiring AI/ML engineers and founders

Prerequisite: None

The curriculum explicitly starts with environment setup and AI foundations, with no prior ML experience required. 

What will i learn?

• Build a strong foundation in Python, AI, and Machine Learning
• Analyze and visualize data using Python, Pandas, NumPy, and SQL
• Build and evaluate Machine Learning and Deep Learning models
• Develop applications using NLP, Computer Vision, and Generative AI
• Build LLM, RAG, and AI Agent-based applications
• Create real-world AI/ML projects and a job-ready portfolio

Frequently asked question