Agentic AI for software engineers

About this course

Master the future of Artificial Intelligence by learning how to build intelligent, autonomous AI applications with Python, Generative AI, LangChain, and LangGraph. This comprehensive, hands-on course is designed for beginners, software developers, AI engineers, and technology enthusiasts who want to create production-ready AI solutions using the latest tools and frameworks.

You'll begin by learning the fundamentals of Python programming, Large Language Models (LLMs), prompt engineering, embeddings, and Generative AI. From there, you'll dive into Agentic AI, discovering how AI agents can reason, plan, use external tools, maintain memory, and execute complex workflows autonomously.

The course provides practical experience with industry-leading technologies, including OpenAI APIs, LangChain, LangGraph, Hugging Face, Ollama, Retrieval-Augmented Generation (RAG), vector databases, Model Context Protocol (MCP), FastAPI, Streamlit, Docker, and Git. You'll learn how to connect LLMs with external data sources, implement tool calling, build stateful AI workflows, orchestrate multi-step reasoning, and develop scalable AI applications.

Through real-world, project-based learning, you'll build intelligent chatbots, AI assistants, document Q&A systems, knowledge retrieval applications, workflow automation tools, multi-agent systems, AI-powered business applications, and end-to-end web applications powered by modern AI technologies. You'll also learn deployment strategies, API integration, application security, and best practices for developing reliable and production-ready AI solutions.

By the end of this course, you'll have the skills to design, develop, and deploy sophisticated Agentic AI and Generative AI applications using Python, LangChain, and LangGraph. Whether you're looking to advance your career, build innovative AI products, automate business processes, or become an AI developer, this course provides a complete roadmap from foundational concepts to advanced real-world implementation.

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