Announcing the First Speakers for the Virtual Agentic AI Summit in July

The Agentic AI Summit 2025 — a three-week virtual event running from July 16 to 31 — is proud to feature an exceptional lineup of speakers driving innovation in autonomous AI. From pioneers in agent architecture to leaders in LLM systems and applied AI, this year’s roster includes experts from Google, Databricks, LlamaIndex, Microsoft, NVIDIA, and more.

These builders and researchers will guide attendees through live workshops on agent design, orchestration, and deployment, sharing the frameworks, tools, and insights shaping the future of agentic systems. Whether you’re engineering multi-agent workflows or scaling intelligent applications, these sessions offer unmatched access to the minds behind the movement.

What Makes This Summit a Must-Attend

The Agentic AI Summit 2025 offers a hands-on learning experience designed for AI professionals ready to build autonomous systems. From LLM-powered agents to scalable architecture, you’ll gain practical tools and strategies for real-world deployment.

Interactive, Real-Time Training

Join live, instructor-led sessions twice a week for three weeks. Each one features demos, live coding, and Q&A — focused on helping you build agentic AI systems alongside experts.

Tangible Takeaways

Walk away with code notebooks, workflow templates, and platform credits to experiment with what you’ve built — moving from concept to prototype with confidence.

Scale-Ready Architecture

Learn to design secure, reliable multi-agent systems that go beyond prompt engineering, including evaluation techniques and tool integrations.

Top-Tier Instructors

Hear directly from industry leaders like Google, LlamaIndex, and AutoGen. These builders bring deep experience from research to production, sharing insights you can apply immediately.

Meet the Featured Speakers & Instructors

Amber Roberts

Amber Roberts is a seasoned AI leader and educator, currently serving as Staff Technical Marketing Manager at Databricks, where she drives innovation at the intersection of artificial intelligence and developer enablement. With a background spanning roles such as AI Growth Lead at Arize AI, Senior Product Manager for AI at Splunk, and Head of AI at Insight Data Science, Amber has played a central role in shaping GenAI product strategy and scaling AI adoption across teams.

Paige Bailey

Paige Bailey leads the Generative AI Developer Experience at Google, where she focuses on empowering developers to build transformative applications using frontier AI technologies. With a strong foundation in applied machine learning, Paige previously held key roles at Microsoft and GitHub and played a pivotal part in the development of Google’s PaLM v2 and Gemini models. Known for her ability to translate complex AI advancements into practical tools, Paige is passionate about lowering the barrier to entry for generative AI and helping developers harness its full potential.

Jerry Liu

Jerry Liu is the co-founder and CEO of LlamaIndex, a leading open-source framework that simplifies data integration and querying for large language model (LLM) applications. His career bridges machine learning research and startup innovation, with previous roles including leading the ML monitoring team at Robust Intelligence, conducting self-driving AI research at Uber ATG, and developing recommendation systems at Quora. A Princeton graduate with a degree in Computer Science, Jerry is passionate about building tools that enable developers to create scalable, intelligent LLM-powered systems.

Chi Wang

Chi Wang is the founder of AG2, an open-source AgentOS platform designed to power agentic AI systems, and the creator of FLAML, a high-efficiency library for AutoML and hyperparameter tuning. With over 15 years of experience in AI research and engineering, Chi has worked at leading institutions including Google DeepMind, Microsoft Research, and Meta. He is a recipient of multiple prestigious awards, including Best Paper at the ICLR 2024 LLM Agents Workshop, the SIGKDD Dissertation Award, and Open100 recognition. Chi also leads the thriving AG2 community of over 20,000 members, advancing the development of autonomous AI through open collaboration and cutting-edge innovation.

Philipp Schmid

Philipp contributes to developer experience at Google DeepMind. Details on his background are to be updated, but his role indicates a strong focus on bridging research and engineering practices in agentic systems.

Sheamus McGovern

Sheamus McGovern is the founder of the Open Data Science Conference (ODSC), one of the world’s largest communities for AI and data science professionals. With a career spanning software architecture, data engineering, and AI strategy, Sheamus has built and advised on high-performance systems across finance, healthcare, eCommerce, and venture capital. He began his journey developing trading platforms and risk models for financial institutions and quantitative hedge funds, before moving on to consult with startups and enterprises on cutting-edge, data-driven applications.

Micheal Lanham

Michael Lanham is a veteran software architect and AI innovator with over two decades of experience developing advanced technology across gaming, graphics, web, GIS, and machine learning. He began exploring neural networks and evolutionary algorithms in game development as early as the year 2000, positioning himself at the forefront of AI experimentation. Micheal has authored 11 books on emerging technologies, including the best-selling AI Agents in Action from Manning Publications — a hands-on guide to building intelligent agents and agentic systems.

Rick Chakra

Rick Chakra is a seasoned AI strategist, researcher, and systems architect with over 12 years of experience designing and building data-driven solutions. He is the Founder and CEO of Armada IQ, a consultancy specializing in AI strategy and implementation, and previously served as a Senior Consultant in Deloitte’s Applied AI practice. In addition to his industry work, Rick is an Adjunct Professor at UNC Charlotte’s School of Data Science, where he teaches machine learning and computer vision. His current research explores the frontiers of machine intelligence, with a focus on simulation and evaluation methodologies for intelligent systems.

Amy Hodler

Amy Hodler is a leading voice in graph analytics and responsible AI, with decades of experience in emerging technologies. She is the co-author of Graph Algorithms and Knowledge Graphs from O’Reilly, and a contributor to Massive Graph Analytics (Routledge) and AI on Trial (Bloomsbury). Throughout her career, Amy has held influential roles at major tech companies including Microsoft, HP, Hitachi IoT, Neo4j, Cray, and RelationalAI. She is also the founder of GraphGeeks.org, a community dedicated to fostering connection and knowledge-sharing across graph technologies. Amy’s work centers on making AI systems more transparent, ethical, and explainable.

Chris Alexiuk

Chris “The Wiz” Alexiuk is the Co-Founder and CTO of AI Makerspace, where he leads instruction for the AI Engineering Bootcamp, helping the next generation of engineers master practical machine learning. By day, he serves as a Developer Advocate at NVIDIA, supporting the global developer community in building cutting-edge AI solutions. With a background as a founding ML engineer, data scientist, and curriculum designer, Chris brings deep technical knowledge and a passion for teaching. He’s also a popular YouTube content creator known for his energetic motto: “Build, build, build!” Based in Toronto, Chris is a lifelong fan of Dungeons & Dragons and an advocate for accessible, hands-on AI education.

Valentina Alto

Valentina is a Cloud Specialist at Microsoft, where she focuses on Analytics and AI solutions for the manufacturing and pharmaceutical sectors. Since 2022, she has played a key role in driving digital transformation, helping clients design and implement modern cloud architectures and data platforms that integrate IoT, real-time analytics, machine learning, and generative AI. Valentina holds a Master’s degree in Data Science and is also a published tech author, contributing articles on machine learning, AI, and statistics. Her most recent work includes a book on Generative AI and Large Language Models. Outside of work, she enjoys hiking and climbing in the Italian mountains, running, and relaxing with a good book and coffee.

How the Summit Works

Week 1: Foundations

Dive into core agent systems — architecture, memory, planning, and frameworks.

Week 2: Advanced Workflows

Explore multi-agent coordination, tool chaining, and approaches for reliability and security in agent design.

Week 3: Deployment & Demonstration

Apply evaluation techniques, build self-healing agents, and showcase end-to-end autonomous systems.

Between live sessions, you’ll find guided homework, a Slack/Discord community, and certificates to demonstrate your progress.

Who Should Attend

The Agentic AI Summit 2025 is designed for technical professionals who want to move beyond passive AI tools and start building truly autonomous, agent-driven systems. Whether you’re deploying LLMs in production or experimenting with multi-agent coordination, this summit offers actionable insights and hands-on training for your next breakthrough.

• Machine Learning Engineers: Ready to go beyond fine-tuning models? Learn how to architect and deploy autonomous agents that reason, plan, and act — using real-world toolchains and open-source frameworks.
• Data Scientists: Discover how agentic systems can supercharge your data workflows. From orchestrating pipelines to enabling intelligent decision-making, agent-based approaches open new possibilities in applied AI.
• Engineering Leaders & Architects: Stay ahead of the curve by exploring the infrastructure, design patterns, and system requirements for deploying secure, scalable agent-based platforms in enterprise settings.
• AI & DevOps Teams: Learn how to integrate agent workflows into production environments, streamline operations, and monitor agent behavior in real time. If your team owns deployment, observability, or lifecycle management, this summit is for you.

Why It Matters to Data Pros

Conventional pipelines rely on batch or streaming models. Agentic AI — where autonomous systems act, react, and adapt — breaks that mold. This summit teaches you to design, evaluate, secure, and deploy such systems responsibly. The practical takeaways align directly with your work in production ML, AI research, and large-scale data solutions.