This course provides comprehensive training on Full Stack Data Science with a strong focus on Generative AI and Agentic AI. Students will learn end-to-end skills from data analysis and machine learning to building, deploying, and maintaining advanced AI systems including Generative AI and autonomous AI agents.

Motive

1. Master Full Stack Data Science with focus on Generative AI and Agentic AI. 2. Build end-to-end AI solutions including predictive models, generative systems, and intelligent agents. 3. Learn prompt engineering, RAG, and agentic workflows for real-world applications. 4. Deploy AI models and agents into production using modern MLOps practices. 5. Gain hands-on experience through real-time projects and build a strong AI portfolio.

Prerequisites

1. Basic to intermediate knowledge of Python programming. 2. Understanding of fundamental mathematics (statistics and linear algebra). 3. Familiarity with Jupyter Notebook or VS Code. 4. Basic knowledge of machine learning concepts is beneficial. 5. No prior experience in Generative AI or Agentic AI required.

Course Content

Full Stack Data Science with Gen AI & Agentic AI

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