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M

Speaker

Michael Albada

3

talks

Principal Applied Scientist Microsoft

Principal Applied Scientist at Microsoft

Bio from: Agentic AI Summit | Virtual

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Agentic AI Summit | Virtual 1 Agentic AI Summit | Virtual 1 O'Reilly AI & ML Books 1

Talks & appearances

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Interactive Workshops

2026-01-21 · Agentic AI Summit | Virtual
workshop
with Michael Albada (Microsoft) , Ali Arsanjani (Google Cloud) , Manoj Saxena (Trustwise) , Holt Skinner (Google Cloud AI) , Andrea Kropp (LandingAI) , Kyle Stratis (Stratis Data Labs) , Harpreet Sahota (Voxel51) , Sanyam Bhutani (Meta) , Ivan Lee (Datasaur) , Claire Longo (Comet) , Cameron Royce Turner (TRUIFY.AI) , Sara Zanzottera (BNP Paribas) , Sinan Ozdemir (LoopGenius) , Zain Hasan, PhD (Together AI)

Live, expert-led sessions where you’ll build real agentic systems step-by-step.

Building Applications with AI Agents

Building Applications with AI Agents

2025-09-23 · O'Reilly AI & ML Books O'Reilly Amazon
book
data ai-ml artificial-intelligence-ai generative-ai AI/ML GenAI

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations. While these agents enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks, and deploying them remains a challenge for many organizations, especially as technology and research rapidly develops. This book is your indispensable guide through this intricate and fast-moving landscape. Author Michael Albada provides a practical and research-based approach to designing and implementing single- and multiagent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently. Understand the distinct features of foundation model-enabled AI agents Discover the core components and design principles of AI agents Explore design trade-offs and implement effective multiagent systems Design and deploy tailored AI solutions, enhancing efficiency and innovation in your field