The Complete Agentic AI Course | LangChain | OpenAI

🎁 FREE Course for the First 100 Students! Use this Link: https://www.udemy.com/course/the-complete-agentic-ai-course/?couponCode=A3ACED8A32F5BE741746 # Complete Agentic AI Course | From LLM Fundamentals to Production-Ready AI Agents Artificial Intelligence is evolving faster than ever. We've moved from traditional Machine Learning to Large Language Models, and now we're entering the era of **Agentic AI**—where AI systems can reason, plan, use tools, maintain memory, collaborate with other agents, and autonomously solve complex real-world tasks. If you've ever wondered how applications like **ChatGPT, Claude, Cursor, GitHub Copilot, Perplexity, Deep Research**, and other AI assistants are built, this course is for you. Unlike many courses that focus only on frameworks or isolated code examples, this course follows a structured learning path. You'll first build a strong understanding of Generative AI, then master Prompt Engineering, learn the fundamentals of AI Agents, and finally build production-ready Agentic AI applications using today's leading frameworks. Everything is taught through practical coding examples, real-world projects, and hands-on notebooks. # Course Curriculum ## Part 1 – Foundations of Generative AI * What is Generative AI? * Evolution of AI & LLMs * Open-source vs Closed-source Models * Tokenization, Embeddings & Attention * Context Windows * Inference & Model Parameters * Temperature, Latency & Throughput * Training vs Fine-tuning * Working with LLM APIs * Structured Outputs * Choosing the Right Model ## Part 2 – Prompt Engineering * Prompt Engineering Fundamentals * Zero-shot, One-shot & Few-shot Prompting * Role & Context Engineering * Prompt Templates * Parameterized Prompts * Model-aware Prompting * Prompt Optimization * Prompt Evaluation * A/B Testing * Regression Testing * Prompt Monitoring * Hallucinations & Prompt Failure Modes ## Part 3 – Introduction to Agentic AI * Chatbots vs AI Agents * Agent Architecture * Agent Autonom