Library / Artificial Intelligence

Agentic AI and LLM with Gen AI

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About this course

Master the future of Artificial Intelligence by learning how to build intelligent, autonomous AI systems using Python. This comprehensive bootcamp takes you from the fundamentals of Generative AI to advanced Agentic AI concepts, enabling you to create powerful AI applications that can reason, plan, use tools, retrieve knowledge, and complete complex tasks autonomously.

Whether you're a beginner looking to enter the AI industry or an experienced developer wanting to stay ahead of the latest AI trends, this course provides a practical, project-based learning experience with hands-on coding and real-world applications.

Throughout the course, you'll explore Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, Multi-Agent Systems, Vector Databases, AI Memory, Model Context Protocol (MCP), AI workflows, function calling, tool integration, AI automation, and deployment techniques using modern AI frameworks.

You'll build 20+ industry-inspired projects, including intelligent chatbots, AI coding assistants, document Q&A systems, research agents, customer support agents, autonomous workflow automation, content generation tools, business AI assistants, and multi-agent applications. Every concept is explained through practical examples so you can confidently build production-ready AI solutions.

By the end of this bootcamp, you'll have the skills to design, develop, deploy, and scale modern AI applications using Python and today's most powerful AI technologies. You'll also gain the confidence to apply Agentic AI and Generative AI in real-world business scenarios, enhance your career opportunities, and stay at the forefront of the rapidly evolving AI landscape.

Whether your goal is to become an AI Engineer, Python Developer, Machine Learning Engineer, Software Developer, Data Scientist, Automation Engineer, or simply build your own AI-powered products, this bootcamp will provide the knowledge and practical experience needed to succeed.

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