898: My Four-Hour Agentic AI Workshop is Live and 100% Free

Episode Summary

Executive Summary: John Crone promotes a free four-hour Agentic AI in Python workshop on YouTube, explaining that it teaches practical multi-agent system development from fundamentals to advanced integrations. The training, co-led with Ed Donner, spans agent design, CrewAI, MCP, and future implications, and aims to help listeners build real-world AI teams for software and enterprise tasks.

Main Topics: Workshop announcement and free access: The episode announces a newly released, fully free four-hour workshop on agentic AI available on YouTube, with a link in the show notes. Multi-agent systems as the next AI frontier: Crone frames multi-agent systems as teams of specialized AI agents collaborating to solve complex problems, representing a major shift from single generalist models. Four-module workshop structure: The workshop is organized into four modules covering agent fundamentals, agent design best practices, MCP integration, and future trends. Hands-on tools and frameworks: The training uses the OpenAI Agents SDK, CrewAI, and Anthropic's Model Context Protocol to teach practical implementation in Python. Real-world demo application: Participants build a software-development-style agent team that can buy and sell stocks using real-world market data in a simulated environment. Production quality and audience reception: Crone emphasizes the workshop’s professional filming, editing, and strong live reception at ODSC East, highlighting its quality and usefulness. Future of work and AI: The final module discusses how capable agent teams may change data science, work, and broader society over coming decades.

Key Arguments: Multi-agent systems are more powerful and flexible than relying on a single generalist AI model. The workshop is practical and hands-on, not just theoretical. Learners can use the training to build agent teams for software development and broader enterprise tasks. The OpenAI Agents SDK is a strong foundation for building autonomous but specialized agents. CrewAI simplifies orchestration of multiple collaborating agents. MCP expands agent capability by connecting them to tools and persistent context. Agentic AI is an important and timely frontier with significant implications for the future of work.

Data Points: Episode number: 898 - John Crone introduces the episode as number 898 of the Super Data Science Podcast. Workshop length: 4 hours - The promoted training is described as a four-hour workshop. Cost: 100% free - Crone repeatedly emphasizes that the full workshop is available free on YouTube. Workshop modules: 4 - The workshop is organized into four comprehensive modules. Live event location: ODSC East, Boston - The workshop was filmed live at the Open Data Science Conference East in Boston. Guest/teaching partner episode reference: 847 - Ed Donner is referenced as a previous guest on episode 847. Audience response: standing room only - Crone says the lecture hall was standing room only for the entire four-hour duration.

Pivotal Quotes: "These are AI teams where different agents specialize in different tasks and collaborate to solve complex problems." — John Crone: Definition of multi-agent systems and why they matter. "This isn't just theory, it's deeply practical, hands-on training" — John Crone: Positioning the workshop as implementation-focused rather than purely conceptual. "The lecture hall was standing room only for the entire four-hour duration" — John Crone: Evidence of strong live audience interest and reception at ODSC East.

Implications: Listeners can access a high-quality, free pathway into agentic AI and multi-agent development. For the industry, this signals growing momentum around agent orchestration, tool integration, and AI teams as a major future capability.