Agentic AI Masterclass 2026: LangChain, Langflow & CrewAI

About this course

Artificial Intelligence is evolving faster than ever before. We've moved from traditional machine learning to Large Language Models, and now we're entering the era of Agentic AI—where AI systems don't just generate responses, but can reason, plan, use tools, maintain memory, collaborate with other agents, and autonomously solve complex real-world problems.

If you want to understand how modern AI applications like ChatGPT, Claude, Cursor, GitHub Copilot, Deep Research, and other intelligent assistants are built, this course is designed for you.

Unlike courses that focus only on a single framework or a collection of code snippets, this course follows a carefully structured learning path. You'll start by building a strong foundation in Generative AI and Large Language Models, then master Prompt Engineering, understand the principles behind AI agents, and finally build production-ready Agentic AI applications using today's leading frameworks and tools.

Throughout the course, you'll gain both conceptual understanding and hands-on experience by building practical projects using real APIs and industry-standard tools.

What You'll LearnPart 1 – Foundations of Generative AI

Build a solid understanding of how modern AI works.

You'll learn:

• What Generative AI isEvolution of AI and Large Language ModelsOpen-source vs. closed-source models
• Tokenization, embeddings, attention, and context windows
• Inference, temperature, latency, throughput, and model parameters
• Training vs. fine-tuning
• Working with LLM APIsStructured OutputsChoosing the right model for different use cases

Part 2 – Prompt Engineering

Learn how to communicate effectively with Large Language Models.

You'll master:

• Prompt engineering fundamentals
• Zero-shot, one-shot, and few-shot prompting
• Role an

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