The Online AI Agent Developer Course That Ends With Production Code

After completing this course you will be able to build: production multi-agent AI systems with typed MCP orchestration, AI applications grounded in private knowledge bases through high-fidelity RAG, AI agents with persistent memory across long conversations, context-engineered AI systems with Glass-Box observability, and production deployments of these systems with appropriate safeguards and monitoring. These capabilities cover the majority of enterprise AI application use cases.

Self-paced online AI agent learning gives you flexibility but lacks the interactive debugging support, real-time architectural guidance, and live Q&A that accelerate learning through the hardest parts. This live course compresses months of self-paced learning into 6 hours by providing expert guidance exactly when you need it: when you hit implementation challenges, when you face architectural decisions, and when the component interactions are unclear. The live format is significantly more efficient for the complex, interconnected concepts in multi-agent engineering.

Yes. The Glass-Box Context Engine you build during this course is a substantive engineering artifact that demonstrates production AI engineering capability. It covers architectural design (Glass-Box, context engineering), protocol implementation (MCP), retrieval engineering (RAG), and production engineering (safeguards, observability, deployment). Participants regularly include their workshop implementation in professional portfolios as evidence of senior AI engineering skills.

The course uses Python as the primary language, the official MCP Python SDK for agent orchestration, standard embedding libraries for the RAG pipeline, Pydantic for typed data validation, Python's asyncio for async agent communication, and structured logging for the Glass-Box observability layer. The instructor covers environment setup at the start and ensures all participants have working environments before the first build module begins.

This online course is highly interactive during the live session: participants ask questions throughout (not just in a Q&A block at the end), the instructor addresses implementation issues as they arise in real time, participants share their screens when they encounter problems, and the pace adjusts based on the group's progress. The live format is intentionally different from a recorded lecture — it is a guided build session with expert support available throughout.

If you register but cannot attend the live session, you receive the complete recording immediately after the workshop. The recording captures the complete build sequence and all Q&A from the live session. Many participants watch the recording at their own pace and implement alongside it — they report this approach is highly effective because they can pause and rewind at their own learning speed. A reference implementation is also provided for comparison.