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Learn how to build full-stack applications and autonomous AI workflows using Meta's Muse models and the Muse Code coding harness. Andrew Brown guides you through model architecture, structured outputs, search grounding, and programmatic API integrations with SDKs like LangChain. You will also master advanced developer workflows in the Muse Code CLI, including custom skills, MCP server setup, automated goal decomposition, and containerized deployments with Docker Compose.
✏️ Course created by @ExamProChannel
❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning:
⭐️ Contents ⭐️
- 0:00:00 Introduction & MetaMuse Course Overview
- 0:00:49 Meta Muse Models, Architecture & Pricing Breakdown
- 0:12:14 Getting Started in the Meta AI Playground
- 0:14:56 Prompting Muse Spark & Vision Capabilities
- 0:20:53 Generating a Retro Single-Page Layout (PHP-Nuke Concept)
- 0:27:07 Conceptualizing Community Engagement Features & Mermaid Diagrams
- 0:36:45 Evaluating Search Grounding Capabilities
- 0:44:57 Structured Outputs with JSON Schema
- 1:00:00 Programmatic API Integration (OpenAI & Anthropic SDKs)
- 1:14:45 Building with the Agent SDK Framework
- 1:21:38 Integrating Meta API with LangChain
- 1:36:49 Configuring & Launching Claude Code with Muse Models
- 1:44:22 Installing & Initializing Muse Code CLI
- 1:49:28 Setting Context with the agents.md File
- 1:54:46 Managing Global & Workspace Settings
- 1:57:23 Controlli
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2026/08/26
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