Hands-On with AI Agents and Model-Context Protocol (MCP)

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Practical skills & tools to accelerate your career

Hands-On with AI Agents and Model-Context Protocol (MCP)

Hosted by Alexey Grigorev

Mon, Sep 1, 2025

2:30 PM UTC (1 hour 30 minutes)

Virtual (Zoom)

Free to join

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53 students

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Invite your network

Go deeper with a course

AI Bootcamp: From RAG to Agents

Alexey Grigorev

View syllabus

Mon, Sep 1, 2025

2:30 PM UTC (1 hour 30 minutes)

Virtual (Zoom)

Free to join

53 students

Invite your network

Go deeper with a course

AI Bootcamp: From RAG to Agents

Alexey Grigorev

View syllabus

What you'll learn

Build AI agents

Create agents that think and use tools for completing user assignments.

Engineer with PydanticAI and OpenAI Agents SDK

Get hands-on with the libraries that power production-grade AI agents.

Extend tools with MCP (Model-Context Protocol)

Build your own MCP server to plug in new tools into your agents seamlessly.

Why this topic matters

AI agents are transforming how work gets done, automating research, analysis, and decision-making at scale. Understanding how to create them gives you a competitive edge, letting you work on smarter tools, streamline processes, and bring advanced AI capabilities into real-world applications.

You'll learn from

Alexey Grigorev

Principal Data Scientist | Book Author | Instructor to 100k+ Students World-Wide

Founder of DataTalks.Club · Creator of the Zoomcamp Series · ML Engineer & Author

Alexey Grigorev is the founder of DataTalks.Club and the creator of the popular Zoomcamp series. With 15 years of experience in software engineering and over 12 years in machine learning, he has built and deployed large-scale ML systems at companies like OLX Group and Simplaex.

An advocate for practical, hands-on education, Alexey has taught over 100,000 students, focusing on a code-first approach to help learners build real-world skills.

In the past, he was an active participant in data science competitions. A Kaggle Master, Alexey has achieved top rankings in several challenges, including 1st place in the NIPS'17 Criteo Challenge and 2nd place in the WSDM Cup 2017: Vandalism Detection.

He is also the author of several technical books, including the widely read Machine Learning Bookcamp.

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