From AI Fundamentals to Building Production-Ready AI Agents
Learn how modern AI systems work — starting from AI and NLP fundamentals, progressing through Transformers, LLMs, RAG, Vector Databases, and Prompt Engineering, and finally building Agentic AI systems with tools, memory, and multi-step reasoning.
Put everything you have learned into one complete project. Your final system will combine: LLM + RAG + Vector Search + Tools + Memory + Agentic Reasoning
Conversational AI applications with memory and context.
AI systems that answer questions from documents and private knowledge bases.
Search systems based on meaning rather than exact keywords.
Applications powered by open-source and hosted Large Language Models.
Agents capable of using tools, APIs, memory, and multi-step reasoning.
AI applications deployed using Streamlit, FastAPI, and modern inference tools.