Raj Rikhy

    Agentic AI Product Development

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    No-Code Development · Online Course

    Online Course

    Learning format

    $697

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Understanding the key components and agentic AI technologies
    • Applying ethical best practices in AI development
    • Integrating agentic AI into existing product roadmaps
    • Designing AI-driven products around real business use cases
    • Applying AutoGen and other agentic AI frameworks
    • Building autonomous AI agents that reason and act

    Best For

    • Builders wanting to launch AI products
    • Builders wanting to launch AI products
    • Technical leaders exploring agentic AI systems
    • Experienced product managers adding AI skills

    Not For

    • Learners unwilling to commit weekly hours
    • Those wanting a single live session only
    • Non-technical learners wanting no hands-on projects
    • Complete beginners to product management

    FAQ

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    About the creator

    AI Product Management and Tech Education · Moraga, California

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    Raj Rikhy
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    Raj Rikhy is the Director of Product Management for the AI Platform at Cisco ThousandEyes, based in Moraga, California. A University of California San Diego graduate, he previously worked as a Principal Product Manager at Microsoft on Azure Data and the Project Bonsai reinforcement learning platform, and as a Group Technical Product Manager at IBM, before co-founding AI Agent University to teach agentic AI product development.

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    Reviews, Scores & Student Outcomes

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    Agentic AI Product Development is a 6-week cohort-based Maven course from AI Agent University, co-taught by Raj Rikhy and John Alexander, covering the foundations, key technologies, design, ethics, and real-world application of building autonomous AI agents. Across 18 lessons and 6 hands-on projects, students learn to integrate agentic AI into product roadmaps, work with frameworks like AutoGen, and apply ethical best practices. The course wraps with a personalized 1-on-1, 60-minute coaching session with Raj and includes lifetime access to recordings and a peer community.

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