● What is AI, ML, DL, Generative AI & Agentic AI
● Python fundamentals for AI development
● Advanced Python (OOPs, modular design, best practices)
● SQL & database fundamentals
● Data Science libraries (NumPy, Pandas, SciPy)
● Data visualization & data storytelling
● Statistical foundations for AI & ML
● Machine Learning algorithms (supervised & unsupervised)
● Deep Learning (ANN, CNN, model optimization)
● Natural Language Processing (NLP)
● Computer Vision using OpenCV
● Generative AI & Large Language Models (LLMs)
● Agentic AI workflows & autonomous agents
● Cloud fundamentals for AI (compute, storage, networking)
● AI model training & inference on cloud platforms
● MLOps basics (versioning, pipelines, monitoring)
● Deploying AI models using cloud services
● AI ethics, bias, fairness & sustainability
● End-to-end industry-oriented capstone project support