Building Autonomous Agentic AI Systems for Beginners HandsOn

About this course

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course guides you through the foundations of Agentic AI, equipping you with the skills to build autonomous AI systems that can reason, act, and adapt. You’ll explore large language models, agent workflows, and the core technologies behind intelligent, self-directed agents. Through step-by-step demonstrations, you’ll develop hands-on experience in constructing both single-agent and multi-agent systems, using modern frameworks and low-code/no-code tools. Advanced concepts such as Model Context Protocol, RAG-enhanced agents, and cross-cloud multi-agent setups are carefully explained, showing you how to optimize, deploy, and ensure the safety of your agents. By progressing through the course, you will gain a clear understanding of agentic design patterns, enabling you to select and implement architectures for real-world autonomous solutions. This course is perfect for beginners in AI development, data enthusiasts, and software developers seeking to enter the field of autonomous intelligent systems, with no prior experience required. By the end of the course, you will be able to build, optimize, and deploy autonomous agentic AI systems using modern frameworks, design multi-agent architectures, integrate RAG pipelines, and implement safety and reflection mechanisms.

Course objectives

• equip learners with foundational skills in Agentic AI
• promote hands-on experience with practical demonstrations
• enable the development of real-world autonomous solutions