As AI agents become integral to mainstream software, organizations need professionals who can do more than build demos: they need engineers who can architect, deploy, and maintain robust agentic solutions that deliver measurable business value. Meeting this demand requires a practical mindset - one that balances innovation with real-world constraints like security, compliance, and operational cost. Familiarity with frameworks like MCP (Model Context Protocol) is increasingly essential for building scalable agents in modern enterprise environments.

✨ Biggest differentiators of this course

🏭 Enterprise-Ready, Not Just Toy Projects

Most courses stop at building toy demos or teaching frameworks in isolation. Here, you’ll learn to architect, evaluate, and deploy AI agents that solve real business challenges-factoring in security, scalability and operational costs. You’ll master not just the “how”, but the “when” and “why” behind agentic AI, with a special focus on leveraging MCP (Model Context Protocol) for robust, scalable solutions.

🦾 Hands-On Product Development

From day one, you’ll build a real-world agentic product, guided by step-by-step tutorials. You’ll gain practical experience that goes far beyond theory.

🤝 Personalized Support: Ask Me Anything (AMA)

We know every learner’s journey is unique. That’s why we offer weekly Ask Me Anything Sessions. While these are optional, we encourage learners to join these sessions to either get help or assist colleagues.

🤜 Individual Coaching Sessions

Still need help? Feel free to schedule 30 minute individual sessions with me every week. You will get direct, personalised help, making sure you never lose momentum.

👩‍🏫 Industry Guest Lectures & Expert Workshops

Learn directly from the people shaping the future of AI. This cohort features guest lectures and workshops with experts from Microsoft and Weights & Biases, bringing you what's newest in AI Agent features for developing, evaluating and deploying AI Agents.

💸 USD 300 in Azure Credits for Early Joiners

To accelerate your cloud deployment journey, first participants will receive $300 in Azure credits, enabling you to experiment, test, and deploy your agentic applications in a real-world environment at no extra cost.

🚀 Capstone Project: From Idea to Production

You’ll connect the latest research and best practices with hands-on implementation. For your capstone, you’ll design, evaluate, and deploy a production-grade AI agent. You will showcase your ability to bridge the gap between theory and enterprise impact.

If you read up until this point and are still wondering: "Is this course for me?"

Well, if you have ever struggled with any of the following challenges:

🔹 Prototype Graveyard: You have built simple AI demos that never made it to production

🔹 Evaluation Paralysis: You struggle to measure if your agents are actually performing well

🔹 Security Vulnerabilities: You need to mitigate the risk that your agents are exposed to prompt injection attacks

🔹 Availability & Resiliency: You want to prevent agentic AI products from breaking after being deployed

Then yes, this course is for you.

🚀 By the end of 4 weeks, you'll have:

✅ A production-deployed AI agent with a public URL you can share with employers

✅ Working knowledge of MCP architecture and hands-on experience that sets you apart from most AI professionals

✅ Real-world AI security and evaluation skills that are essential for enterprises to leverage AI at scale

✅ Portfolio-ready project demonstrating end-to-end agent development capability

👩🏼‍💻 Course Requirements

If you don't have significant experience with Gen AI, AI Agents or MCP, that's fine. The only hard requirement for this course is basic Python knowledge.

Ready to go beyond the PoC? Join us and build AI agents that matter-powered by real-world tools, enterprise best practices, and the support you need to succeed.