AI Engineer Agentic Track: The Complete Agent & MCP Course
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Unclaimed ProfileThe AI Engineer Agentic Track: The Complete Agent & MCP Course, meticulously crafted by Ed Donner, is an industry-leading program designed to elevate developers into proficient AI Agent engineers. This comprehensive training explores the cutting-edge landscape of autonomous AI, moving far beyond basic prompting to teach students how to build robust, production-ready agentic systems. Over an intensive journey, learners will master the industry's most sought-after frameworks, including the OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and the Model Context Protocol (MCP). The course heavily emphasizes hands-on mastery through eight ambitious, real-world projects. Students will build everything from a personalized Career Digital Twin and automated SDR Sales Agents to complex multi-agent setups like a software engineering squad in Docker and an autonomous stock-trading floor powered by MCP servers. This program is ideal for software engineers, data scientists, and technical product managers who want to understand the architecture of modern AI workflows, tool calling, and multi-agent coordination. By the end of this curriculum, you will possess a professional-grade portfolio showcasing your ability to design, deploy, and manage self-improving AI systems that solve genuine business problems.
About the creator
Ed Donner
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Ed Donner is a distinguished technology executive, entrepreneur, and educator dedicated to bridging the gap between cutting-edge artificial intelligence and real-world implementation. With decades of experience leading high-performing engineering teams in investment banking—notably serving as a Managing Director at Morgan Stanley—and co-founding the AI-driven recruitment platform untapt, Ed brings a rare blend of deep technical mastery and strategic business acumen to his courses. His teaching philosophy centers on dismantling complex AI concepts, such as agentic workflows, Model Context Protocol (MCP), and large language model architectures, into highly practical, production-ready frameworks. Whether guiding software engineers in building robust multi-agent systems or…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Project 1: Career Digital Twin. Build and deploy your own Agent to represent you to potential future employers.
- Project 2: SDR Agent. An instant business application: create Sales Representatives that craft and send professional emails .
- Project 3: Deep Research. Make your own version of the essential Agentic use case: a team of Agents that carry out extensive research on any topic you choose.
- Project 4: Build a Stock Picker Agent in minutes with CrewAI—automate your search for investment gems!
- Project 5: Deploy your own 4-Agent Engineering Team—manage, build, and test software apps with CrewAI and Coder Agents in Docker!
- Project 6: Build your own version of OpenAI’s Operator Agent—your Sidekick works with you inside your browser via LangGraph!
- Project 7: Agent Creator—an Agent that builds and launches new Agents using AutoGen, unlocking endless AI possibilities!
- Project 8: Capstone—build a Trading Floor with 4 Agents making autonomous trades, powered by 6 MCP servers and 44 tools!
Best For
- Software engineers looking to pivot into AI engineering roles
- Developers who want to move beyond basic prompting into building autonomous systems
- Technical professionals eager to master MCP, CrewAI, and LangGraph architecture
- Data scientists seeking to implement agentic workflows in production environments
Not For
- Complete beginners with no prior programming experience
- Non-technical managers looking for a high-level overview of AI strategy
- Individuals seeking basic chatbot or prompt-engineering tutorials
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