Practical advice for implementing Multi Agent / AI Agents

Hosted by Raj Singh Rikhy and John Alexander

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157 students

What you'll learn

Grasp the Fundamentals of Multi-Agent Systems

Participants will understand the basic definition of MAS, how they differ from single-agent AI

Explore Key Design Principles

Students will gain an overview of the most important design considerations for MAS, including agent types and strategies

Get a Taste of Implementation

Attendees will be introduced to the practical steps involved in implementation and how to apply it to their product.

Why this topic matters

Multi-agent systems (MAS) are shaping the future of AI. Understanding them opens doors to cutting-edge careers in AI research, robotics, software engineering, and data science. You'll gain problem-solving skills applicable across fields and make impactful contributions to a technology that's changing the world.

You'll learn from

Raj Singh Rikhy

Principal Product Manager, Microsoft, Copilot Lead PM For Microsoft Fabric

Raj Singh Rikhy is a leader in AI and generative AI technologies with extensive experience at Microsoft, IBM, and Salesforce. Known for driving innovation and delivering results, Raj brings practical insights and hands-on expertise to his teaching.


At Microsoft, Raj led the development and implementation of advanced AI solutions for Azure Data, focusing on enhancing user engagement and integrating technologies across diverse teams. His strategic approach and ability to manage complex AI projects provide students with real-world perspectives on AI development.

John Alexander

Sr. Content Developer - AI Apps Microsoft, Tutor - University of Oxford

John Alexander is a highly skilled and experienced professional with a deep understanding of artificial intelligence. He is passionate about developing innovative solutions to real-world problems and to educate others about the potential of AI.


John is currently the Content lead for Intelligent Apps at Microsoft. He also is a tutor for several AI courses at Oxford University. These include the "Developing Artificial Intelligence Applications" course, a fully online course for those wanting to transition their career towards Artificial Intelligence through development in Python and TensorFlow, and the "Artificial Intelligence: Generative AI, Cloud and MLOps" course, which covers workflows for designing and developing autonomous AI agents and systems using Cloud, non-Generative (classical) AI, Generative AI, and MLOps.


John's expertise extends beyond the classroom. His extensive teaching can also be found in Coursera, under "Designing Autonomous AI" and "Machine Teaching for Autonomous AI," demonstrating his deep understanding and commitment to educating others in this rapidly evolving field.



Previously at

Microsoft
IBM Cloud
Salesforce
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