Building Agentic AI Systems
Create intelligent, autonomous AI agents that can reason, plan, and adapt
WTCreated by Anjanava Biswas, Wrick Talukdar
Explore how to design and build intelligent AI agents that can reason, plan, and adapt to complex tasks with minimal human input. Learn practical frameworks and techniques that bridge theory with hands-on implementation, preparing you to create scalable, autonomous AI systems for real-world applications.
Packt | Apr 2025 | 288 min
What You Will Learn
You will start by exploring the foundations of agentic AI and generative models, then move into practical frameworks for decision-making, planning, and tool integration. Through real-world examples and step-by-step guidance, you will develop the skills to build, deploy, and manage adaptive AI agents that operate autonomously and responsibly.
Key Features
- Design AI agents that reason, plan, and act independently in dynamic environments
- Integrate advanced planning, tool use, and collaboration for scalable AI solutions
- Apply trust, safety, and ethical principles to ensure responsible AI agent behavior
Target Audience
This content is designed for AI developers, machine learning engineers, and software architects with a solid background in programming and machine learning. If you want to move beyond basic automation and create sophisticated, autonomous agents, you will find actionable techniques and insights to help you achieve your goals. Familiarity with Python and large language models is recommended.
