Mastering Claude Opus 4.6: Build Production AI Applications

Go from your first API call to production multi-agent systems

Claude Opus 4.6 is one of the most capable AI models ever released — but raw capability means nothing without the engineering skills to harness it. This hands-on course takes you from writing your very first request to shipping production-grade, multi-agent applications, with working code in every chapter.

You'll start with the Claude API deep dive — authentication, the Messages API, tokens and pricing, system-prompt design, and streaming for real-time apps. From there you'll unlock the features that set Opus apart: extended thinking for deep reasoning (and how to budget its cost), and the 1-million-token context window for document processing and multi-document RAG without a vector database.

What you'll master:

• Tool use & function calling — defining tools, validation and error handling, and parallel tool execution and chaining
• Agentic workflows — agent anatomy, memory and state, decision loops, and human-in-the-loop guardrails
• Multi-agent systems — orchestrator-worker architecture, a code-review agent team, and inter-agent communication
• Production applications — AI-native architecture, rate limiting, caching, cost management, and evals for testing AI
• Enterprise integration — security and data privacy, observability, and scaling with the Batch API and queues
• Advanced patterns — prompt templating and versioning, building and monetizing AI products, and your AI career roadmap

Who this is for: developers comfortable with basic programming who want to move beyond chatbot demos and build reliable, scalable AI systems. Every module is project-based, so you finish with real applications — not just theory.

By the end, you'll be able to architect, build, test, and deploy AI-native software with Claude Opus 4.6 the way production teams actually do it.