Building Autonomous Agentic AI Systems for Beginners HandsOn
Design and deploy intelligent autonomous AI agents with real world workflows and systems
Created by Yogesh Raheja, Thinknyx Technologies
Explore the world of autonomous AI by learning how to design, build, and deploy intelligent agents that can reason and act on their own. Gain hands-on experience with real-world workflows and modern frameworks while mastering the essentials of agentic systems from the ground up.
Packt | Jan 2026 | 363 min
What You Will Learn
You will start with foundational concepts and gradually move into hands-on projects that mirror real production scenarios. Through step-by-step demonstrations and focused explanations, you will reinforce your understanding by building agents, integrating tools, and deploying solutions that reflect industry needs.
Key Features
- Learn to build functional AI agents using practical frameworks and tools
- Design multi-agent systems that collaborate and operate autonomously
- Integrate RAG, memory, and vector search to enhance agent intelligence
Target Audience
Ideal for developers, data scientists, ML engineers, and system architects ready to go beyond basic LLMs. If you have Python skills, a basic grasp of language models, and a passion for hands-on AI experimentation, you will gain the practical knowledge needed to create scalable, autonomous systems.
