13 Skilljar mirrors + 10 deep dives.
Each knowledge mirror simplifies one official Skilljar course (the platform Anthropic uses to deliver CCA-F training): a 5-minute digest, the full lesson outline with our annotations, 5-6 cross-pillar key takeaways, listicle moments, and an FAQ block. The deep dives answer the question-driven long-tails real students search, with no Skilljar course behind them. Read mirrors to see how Anthropic teaches a topic; read concepts to learn the primitive itself.
Agentic Architectures.
7 courses touching this domain.
Subagents: Context Management + Task Delegation
Subagents are specialized helpers that Claude Code spawns into their own context window to handle a focused task and return only a summary. They keep your main …
Claude Code 101: Workflows + Context Mastery
Claude Code 101 is the daily-driver course for the agentic coding tool that reads your codebase, edits files, and runs commands inside an explicit `Explore, Pla…
Introduction to Claude Cowork: Delegation for Knowledge Work
Claude Cowork is the same agentic architecture that powers Claude Code, retargeted at knowledge work: analysis, research, writing, and the documents you produce…
Claude Code in Action: Integration Patterns
Claude Code in Action moves past the basics into the eight integration surfaces that turn Claude Code from a chat assistant into a real engineering tool: `/init…
Building with the Claude API: Foundations to Agents
Building with the Claude API is the comprehensive bottom-up tour of the Anthropic SDK: messages, system prompts, streaming, structured outputs, evals, prompt en…
Agent Skills: Reusable Prompts in Claude Code
Skills are reusable markdown files that teach Claude Code how to handle specific tasks automatically, so you stop repeating the same instructions every conversa…
AI Capabilities and Limitations: A Mental Model of the Machine
Generative AI has four properties that each sit on a continuum from capability to limitation: Next Token Prediction, Knowledge, Working Memory, and Steerability…
Tool Design + Integration.
9 courses touching this domain.
Claude 101: Foundations for Everyday Work
Claude 101 is the on-ramp course that teaches you what Claude is, how to write prompts that land, and how to organize work using Projects, Artifacts, Skills, an…
Claude Code in Action: Integration Patterns
Claude Code in Action moves past the basics into the eight integration surfaces that turn Claude Code from a chat assistant into a real engineering tool: `/init…
Building with the Claude API: Foundations to Agents
Building with the Claude API is the comprehensive bottom-up tour of the Anthropic SDK: messages, system prompts, streaming, structured outputs, evals, prompt en…
MCP Foundations: Tools, Resources, Prompts
Model Context Protocol (MCP) is an open spec that lets any Claude client talk to any external system through a thin server, using three primitives: tools, resou…
MCP Advanced: Sampling, Notifications, Roots, Transports
This course extends the MCP foundations with the capabilities production servers actually need: sampling (server asks the client to call the model), log and pro…
Agent Skills: Reusable Prompts in Claude Code
Skills are reusable markdown files that teach Claude Code how to handle specific tasks automatically, so you stop repeating the same instructions every conversa…
AI Capabilities and Limitations: A Mental Model of the Machine
Generative AI has four properties that each sit on a continuum from capability to limitation: Next Token Prediction, Knowledge, Working Memory, and Steerability…
Claude with Google Cloud Vertex AI: Deployment + GCP Integration
This 93-lesson course teaches the same Claude API surface as `claude-api-foundations` but accessed through Google Cloud's Vertex AI rather than the direct Anthr…
Claude in Amazon Bedrock: Deployment + AWS Integration
This 83-lesson course teaches the same Claude API surface as `claude-api-foundations` but accessed through Amazon Bedrock rather than the direct Anthropic API. …
Agent Operations.
4 courses touching this domain.
Claude Code 101: Workflows + Context Mastery
Claude Code 101 is the daily-driver course for the agentic coding tool that reads your codebase, edits files, and runs commands inside an explicit `Explore, Pla…
Claude Code in Action: Integration Patterns
Claude Code in Action moves past the basics into the eight integration surfaces that turn Claude Code from a chat assistant into a real engineering tool: `/init…
MCP Foundations: Tools, Resources, Prompts
Model Context Protocol (MCP) is an open spec that lets any Claude client talk to any external system through a thin server, using three primitives: tools, resou…
MCP Advanced: Sampling, Notifications, Roots, Transports
This course extends the MCP foundations with the capabilities production servers actually need: sampling (server asks the client to call the model), log and pro…
Prompt Engineering.
2 courses touching this domain.
AI Fluency: The 4D Framework for Working with AI
AI Fluency teaches a four-competency framework for collaborating with AI: ==Delegation== (deciding what to give the AI), ==Description== (communicating clearly)…
Building with the Claude API: Foundations to Agents
Building with the Claude API is the comprehensive bottom-up tour of the Anthropic SDK: messages, system prompts, streaming, structured outputs, evals, prompt en…
Context + Reliability.
7 courses touching this domain.
Claude 101: Foundations for Everyday Work
Claude 101 is the on-ramp course that teaches you what Claude is, how to write prompts that land, and how to organize work using Projects, Artifacts, Skills, an…
Claude Code 101: Workflows + Context Mastery
Claude Code 101 is the daily-driver course for the agentic coding tool that reads your codebase, edits files, and runs commands inside an explicit `Explore, Pla…
Introduction to Claude Cowork: Delegation for Knowledge Work
Claude Cowork is the same agentic architecture that powers Claude Code, retargeted at knowledge work: analysis, research, writing, and the documents you produce…
AI Fluency: The 4D Framework for Working with AI
AI Fluency teaches a four-competency framework for collaborating with AI: ==Delegation== (deciding what to give the AI), ==Description== (communicating clearly)…
Building with the Claude API: Foundations to Agents
Building with the Claude API is the comprehensive bottom-up tour of the Anthropic SDK: messages, system prompts, streaming, structured outputs, evals, prompt en…
Claude with Google Cloud Vertex AI: Deployment + GCP Integration
This 93-lesson course teaches the same Claude API surface as `claude-api-foundations` but accessed through Google Cloud's Vertex AI rather than the direct Anthr…
Claude in Amazon Bedrock: Deployment + AWS Integration
This 83-lesson course teaches the same Claude API surface as `claude-api-foundations` but accessed through Amazon Bedrock rather than the direct Anthropic API. …
10 long-tail deep dives.
Standalone articles that answer the specific failure-mode questions real students search. Not Skilljar mirrors - these are authored to capture People-Also-Ask traffic, and they still map to CCA-F domains.
Is There an MCP Certification? What Actually Certifies Model Context Protocol Skill
There is no standalone MCP certification. Model Context Protocol competence is certified inside Anthropic's CCA-F, specifically Domain 2 (Tool Design + MCP Inte…
Agentic AI Certification: Which One Proves You Can Build Agents on Claude
Several agentic AI certifications exist. For building agents on Claude, the credential is Anthropic's CCA-F, where Domain 1 (Agentic Architectures, 27%) is the …
Why Subagents Don't Automatically Inherit CLAUDE.md and How to Fix It
Subagents spin up with empty context - CLAUDE.md is a parent-session filesystem read, not a transmitted artifact. Here is how to force inheritance so subagents …
Designing MCP Error Contracts That Trigger Claude's Retry Behavior
Claude only retries MCP tool calls when the error contract tells it the failure is transient. Here is the JSON envelope, the four required properties, and the e…
How to Prevent MCP Tool Descriptions from Consuming Excess Context Window
MCP tool descriptions can silently eat 25% of your context window. Audit your token budget, apply progressive disclosure, prune redundant schema fields, and inj…
Architecture-Aware, Refactor-Authorized Workflows: Getting Useful Results from AI Coding Agents
Pass the agent an explicit architecture contract, scope its refactor authorization, force a plan-confirm-execute loop, inject retrieval over codebase embeddings…
Debugging Claude Code Hooks That Fire Silently or Don't Run At All
Four silent-failure causes, the canonical debug loop with --debug, the registered-but-skipped vs erroring-silently vs never-registered taxonomy, --hooks-dry-run…
How to Ensure Claude Uses the Latest User-Provided Context After a Sequence of Updates
Five techniques for keeping Claude anchored on the most recent context after multiple updates - recency placement, override anchors, version stamps, compression…
Handling Token Limits When Processing Large JSON Responses in an MCP Client/Server Flow
Four canonical patterns for shrinking oversized MCP tool results - field projection, pagination, chunk-with-summarize, and streaming - mapped to CCA-F D2/D5 wit…
How to Handle Very Long Prompts for Complex Business Contexts Without Splitting Them
Five techniques for keeping a long business-context prompt coherent without breaking it into smaller calls - front-loaded decisions, hierarchical structure, XML…
6 questions about the Academy mirrors
Every Q is phrased as a real Google search query. Answers cite the same evidence-tagged sources used elsewhere on the site.