AI Agents in Practice
Design, implement, and scale autonomous AI systems for production
Created by Valentina Alto
Explore how to design, build, and deploy autonomous AI agents that go beyond simple chatbots. Learn to create single and multi-agent systems using large language models and popular frameworks, all while focusing on practical, real-world applications and ethical considerations.
Packt | Aug 2025 | 282 min
What You Will Learn
You will start by understanding the evolution of AI agents and their core components. Through hands-on examples, you'll use Python and leading frameworks to build and orchestrate both single and multi-agent systems. Real-world scenarios and industry case studies will help you apply these skills, while ethical guidance is woven throughout your learning experience.
Key Features
- Design and implement AI agents that plan, reason, and solve business problems
- Build multi-agent systems using frameworks like LangChain and LangGraph
- Integrate responsible AI practices to ensure ethical and secure deployments
Target Audience
Perfect for AI engineers, data scientists, and software developers ready to move beyond basic language model applications. If you have a working knowledge of Python and machine learning concepts, you'll gain practical skills to build, scale, and ethically deploy autonomous AI agents that address real business challenges.
