Agentic AI and Build, Deploy & Scale AI Agents

About this course

Step into the future of artificial intelligence by mastering Agentic AI, one of the fastest-growing areas in modern AI development. This comprehensive online course is designed to help beginners, developers, engineers, students, and AI enthusiasts understand how to build intelligent AI agents capable of reasoning, planning, decision-making, and executing complex tasks with minimal human intervention.

You will begin with the fundamentals of Agentic AI, including how autonomous AI agents differ from traditional AI applications. From there, you'll explore Large Language Models (LLMs), prompt engineering, memory management, planning strategies, tool usage, retrieval-augmented generation (RAG), and multi-agent collaboration. The course also introduces the Model Context Protocol (MCP), enabling AI agents to securely connect with external tools, APIs, databases, and applications.

Through hands-on projects, you'll learn how to design, develop, and deploy AI agents that automate real-world workflows such as research assistants, coding assistants, customer support agents, document analysis systems, workflow automation, and intelligent business solutions. You'll gain practical experience with popular Agentic AI frameworks, API integrations, vector databases, and cloud deployment techniques while following industry best practices.

Each module combines clear explanations with practical exercises to ensure you can confidently apply what you learn. By the end of the course, you'll have built multiple real-world Agentic AI applications and developed the skills needed to create scalable, production-ready AI solutions.

Whether you're looking to advance your software development career, enhance business automation, or explore the next generation of AI technologies, this course provides the knowledge and practical experience to help you succeed in the rapidly evolving world of autonomous AI systems

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