Completed an intensive one-month course in Agentic AI, covering the foundations and advanced concepts of Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, NLP, and Large Language Models. Participants gained hands-on experience with Transformer architecture, tokenization, embeddings, prompt engineering, LLM inference, Hugging Face, and OpenAI API integration. The course included practical implementation of semantic search, vector databases, Retrieval-Augmented Generation (RAG), LangChain, AI chatbot development, tool/function calling, AI agents, agentic workflows, agent memory, planning and reasoning, and multi-agent systems using LangGraph, CrewAI, and AutoGen. Participants also explored Model Context Protocol (MCP), LoRA and QLoRA fundamentals, AI evaluation, guardrails, and production-oriented AI application development through practical projects.