Building Agentic AI Systems, First Edition
This is the code repository for Building Agentic AI Systems, First Edition, published by Packt.
Create intelligent, autonomous AI agents that can reason, plan, and adapt
Anjanava Biswas, Wrick Talukdar
About the book
Gain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks. Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents. Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.
Key Learnings
Master the core principles of GenAI and agentic systems
Understand how AI agents operate, reason, and adapt in dynamic environments
Enable AI agents to analyze their own actions and improvise
Implement systems where AI agents can leverage external tools and plan complex tasks
Apply methods to enhance transparency, accountability, and reliability in AI
Explore real-world implementations of AI agents across industries
Chapters
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| Chapters | Colab | Kaggle | Gradient | Studio Lab |
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| Chapter 1: Fundamentals of Generative AI | ||||
| Chapter 2: Principles of Agentic Systems | ||||
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| Chapter 3: Essential Components of Intelligent Agents | ||||
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| Chapter 4: Reflection and Introspection in Agents | ||||
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| Chapter 5: Enabling Tool Use and Planning in Agents | ||||
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| Chapter 6: Exploring the Coordinator, Worker, and Delegator Approach | ||||
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| Chapter 7: Effective Agentic System Design Techniques | ||||
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| Chapter 8: Building Trust in Generative AI Systems | ||||
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| Chapter 9: Managing Safety and Ethical Considerations | ||||
| Chapter 10: Common Use Cases and Applications | ||||
| Chapter 11: Conclusion and Future Outlook |
Requirements for this book
Software and hardware list
This is the companion repository for the book. Here are a few instructions that help getting set up. Please also see chapter 2.
All chapters rely on Python.
Please check the instructions for setting up the environment either in the book or here. They include instructions for dependencies and API keys. Following the instructions should make sure that you don't have any issues running the code in the book or this repository. If you encounter any issues, please make sure you've followed these instructions.
Get to know Authors
Anjanava Biswas Anjanava Biswas is an award-winning senior AI specialist solutions architect with over 17 years of industry experience. Specializing in machine learning, Generative AI, natural language processing, deep learning, data analytics, and cloud architecture, he partners with large enterprises to build and scale advanced AI systems in the cloud. Anjanava is widely recognized for his contributions to the field of applied AI. He has published research in multiple scientific journals and actively contributes to open-source AI/ML projects. His professional accolades include Fellowships with BCS (UK), the IET (UK), and IETE (India), and he is a senior IEEE member. A frequent public speaker, Anjanava has held key positions at industry giants like IBM and Oracle Corp. Originally from India, he now resides in San Diego, CA, with his wife and son, where he continues to innovate and inspire within the tech community.
Wrick Talukdar Wrick Talukdar is a visionary technology leader in generative artificial intelligence (AI) at Amazon, with over two decades of global experience in AI, cloud computing, and product leadership. A pioneer in AI-driven transformation, he has led large-scale modernization initiatives that drive enterprise growth and impact millions worldwide. He has spearheaded the productization of award-winning AI/ML technologies, now deployed at scale for Fortune 500 companies, shaping real-world AI applications. A recognized figure in AI research, Wrick's work in generative AI, multimodality, natural language processing, and computer vision is widely cited and referenced in the field. As a senior IEEE member, Chair, and panelist in multiple industry forums, he advises global committees like CTSoc Industry Forums and NIC, setting industry standards and shaping AI's role for the future. He frequently presents his innovations at premier conferences such as World Technology Summit, IEEE HKN, ICCE, CERAWeek, and ADIPEC, bridging cutting-edge research with real-world AI applications to accelerate industry-wide innovation. Deeply rooted in his computer science background, he co-chairs IEEE NIC to empower young professionals. As an author and thought leader, he continues to push AI's boundaries, inspiring future innovators. Wrick lives in California with his family.
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