Library / Artificial Intelligence

Modern Agentic AI with Python for beginners

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About this course

Master the latest advancements in Artificial Intelligence by learning how to build intelligent, autonomous AI applications with Python. This comprehensive, hands-on course is designed to take you from the fundamentals of Generative AI to advanced Agentic AI systems using today's most powerful AI technologies.

Whether you're a beginner entering the AI field or an experienced developer looking to build next-generation AI applications, this course provides a practical, project-based learning experience that prepares you for real-world AI development.

You'll begin by understanding the foundations of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Python programming before progressing to advanced concepts such as AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), Vector Databases, AI Memory, Function Calling, Tool Integration, Model Context Protocol (MCP), AI Workflows, and enterprise AI architectures.

Throughout the course, you'll gain hands-on experience building production-ready AI applications using modern AI frameworks and libraries. You'll learn how to connect LLMs with external tools, APIs, databases, and knowledge sources, enabling AI agents to reason, plan, retrieve information, and execute complex tasks autonomously.

This course includes 5+ real-world projects that demonstrate how modern AI systems are built and deployed. You'll create intelligent chatbots, document Q&A systems, research assistants, AI coding assistants, customer support agents, workflow automation tools, content generation platforms, business AI assistants, RAG-powered search systems, MCP-enabled applications, and collaborative multi-agent solutions.

You'll also explore best practices for designing scalable AI applications, managing context and memory, optimizing prompts, integrating external services, deploying AI applications, and building secure, reliable AI systems suitable for production environments.

By the end of this course, you'll have a strong portf

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