Claude Opus 4.7 Masterclass 2026: Build Production AI Apps (Beginner to Expert)

The definitive course on Anthropic's 2026 flagship, Claude Opus 4.7

Claude Opus 4.7 is Anthropic's most capable 2026 model — and this masterclass teaches every production-grade capability it introduces, from beginner setup to expert migration. You'll learn not just what changed, but how to build with it and when to reach for each feature.

After a hands-on setup and your first Opus 4.7 call, you'll master the core API — request anatomy, model IDs and version pinning, system-prompt cache strategy, streaming, robust error handling, and why the new tokenizer can shift your costs.

What you'll master:

• The 1M-token context window — pricing with no long-context premium, prompt caching at scale, and loading an entire codebase into a single request
• Adaptive thinking & effort control — the new effort parameter from minimum to xhigh, thinking display modes, and migrating a 4.6 prompt live
• Task budgets — self-moderating agents, task_budget vs max_tokens, and sizing budgets for real workflows
• Tool use — parallel tool calls, the fewer-tools-by-default shift, and managed vs self-hosted agent loops
• High-resolution vision & computer use — 3.75MP image support, pixel-accurate coordinate mapping, and QA-ing a UI from screenshots
• Memory & long-running agents — the Anthropic memory tool, file-system memory patterns, and scratchpad strategies
• Prompt engineering & migration — writing for 4.7's literal instruction-following, a full migration checklist, breaking-change handling, A/B testing, and rollback strategy

Who this is for: everyone from newcomers to experienced engineers migrating production systems to Opus 4.7. You finish with real projects — a code-review bot, 1M-token document Q&A, and a custom Claude Code skill — and the judgment to deploy Opus 4.7 responsibly.