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Microsoft Developer Community Blog
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Level Up Your Python Game with Generative AI Free Livestream Series This October!

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Lee_Stott
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Sep 03, 2025

Focused on Python + Generative AI  and this time, we’re going even deeper with Agents and the Model Context Protocol (MCP).

If you've been itching to go beyond basic Python scripts and dive into the world of AI-powered applications, this is your moment. Join Pamela Fox and Gwyneth Peña-Siguenza Gwthrilled to announce a brand-new free livestream series running throughout October, focused on Python + Generative AI  and this time, we’re going even deeper with Agents and the Model Context Protocol (MCP).

Whether you're just starting out with LLMs or you're refining your multi-agent workflows, this series is designed to meet you where you are and push your skills to the next level.

🧠 What You’ll Learn

Each session is packed with live coding, hands-on demos, and real-world examples you can run in GitHub Codespaces. Here's a taste of what we’ll cover:

🎥 Why Join?

  • Live coding: No slides-only sessions — we build together, step by step.
  • All code shared: Clone and run in GitHub Codespaces or your local setup.
  • Community support: Join weekly office hours and our AI Discord for Q&A and deeper dives.
  • Modular learning: Each session stands alone, so you can jump in anytime.

🔗 Register for the full series

🌍 ¿Hablas español?

We’ve got you covered! Gwyneth Peña-Siguenza will be leading a parallel series in Spanish, covering the same topics with localized examples and demos.

🔗 Regístrese para la serie en español

Whether you're building your first AI app or architecting multi-agent systems, this series is your launchpad. Come for the code, stay for the community — and leave with a toolkit that scales.

Let’s build something brilliant together. 💡

Join the discussions and share your exprience at the Azure AI Discord Community

Updated Sep 03, 2025
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1 Comment

  • techkodainya's avatar
    techkodainya
    Copper Contributor

    MCP an open standard introduced by Anthropic in late 2024—addresses one of the biggest challenges in building AI applications: seamless integration with external tools and data sources. It acts like a "USB-C for AI" enabling LLMs and AI agents to plug into repositories, services, APIs, and more in a standardized, interoperable way. Since its release, MCP has quickly gained adoption across major players like OpenAI, Google DeepMind, Microsoft, Sourcegraph, and GitHub, which highlights its enormous potential for elevating the developer ecosystem.

    In practice, MCP lets Python developers construct agents that can access real-world context GitHub repositories, databases, file systems, and cloud tools—without reinventing connectivity logic for each new project.

    This livestream series promises hands-on demos and live coding in GitHub Codespaces. For a growth-driven defense startup like ours, mastering MCP through such a practical and free series offers a direct path to building adaptable, context-aware Python agents that can interface securely with sensitive data systems. That’s a strategic edge—whether it’s for automating workflows with stringent compliance needs or accelerating prototyping cycles with real-time data access.