Full Stack AI & ML Development Program

Curriculum Overview

A 12-week structured curriculum for training in
Data Engineering, Data Science, and Generative AI (GenAI).

Python is a prerequisite for this program.

Phase 2: Data Science Foundations

Phase 3: AI & Advanced ML

Advance to Deep Learning, NLP, LLMs, Prompt Engineering, RAG, MLOps, AI Governance, and capstone projects.

Phase 1: Data Engineering Foundations

Build solid Data Engineering foundations with SQL/NoSQL, ETL pipelines, orchestration tools like Airflow, and data warehousing.

Master Data Science essentials—EDA, stats, supervised/unsupervised ML, and feature engineering.