Hands-on Claude AI Course
Learn Claude AI by Building a Support Assistant
Learn Claude AI by building an evidence-grounded support copilot: choose models, make reliable API requests, handle documents, use bounded tools and agents, and prepare a safe release.
17Topics
65Examples
FreeAlways
About Claude AI
Learn Claude AI by building an evidence-grounded support copilot: choose models, make reliable API requests, handle documents, use bounded tools and agents, and prepare a safe release.
Prerequisites
Basic Python or JavaScript, HTTP APIs, JSON, environment variables, and backend security fundamentals.
Who This Is For
Developers, technical product teams, and engineers who need dependable Claude integrations rather than one-off prompts.
What You Will Learn
Models and token budgets, reliable API operations, documents, prompts, schemas, tools, MCP, streaming, retrieval, Claude Code, evaluation, and rollout.
Tools Needed
A code editor, server runtime, Anthropic Console project, API key stored safely, and a test environment.
Claude AI Learning Path
Build a Claude API feature with explicit model and cost decisions, structured evidence, least-privilege tools, evaluation coverage, and a production rollback path.
- Create a safe Messages API boundary with model, token, deadline, and retry policy
- Add documents, schemas, retrieval, bounded tools, agents, streaming, and context controls
- Build the support-copilot capstone, then evaluate, trace, secure, and roll it out
Evidence-Grounded Support Copilot
Build a support copilot that retrieves approved policy, proposes a structured resolution, uses read-only order lookup, and requires confirmation before any consequential action.
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Tutorial Topics
Follow the lessons in order, or jump straight into the topic you need.
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3. Setup and First Request
Lesson
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4. Models and Cost Control
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5. Reliable API Operations
Lesson
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6. Messages and Prompting
Lesson
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7. Multimodal Inputs
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8. Files and Document Workflows
Lesson
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9. Structured Outputs
Lesson
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11. Agent Workflows and MCP
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12. Streaming and Batches
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13. Prompt Caching and Context
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14. Knowledge and Citations
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16. Support Copilot Capstone
Lesson
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17. Security, Evaluation and Production
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Claude AI Topic Hub
Use the full topic workspace when you want tutorials, practice, interview prep, and nearby topic links in one place.
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Tutorials, practice, and prep together
Topic hub
5 surfaces
Models, token budgets, and reliable API boundaries
Documents, structured output, and tool loops
Learn to design dependable Claude applications with model selection, reliable API operations, documents, prompting, structured output, bounded tools and agents, MCP, evaluation, and release safeguards.
Claude AI Benefits
- Choose models and token budgets from task evidence instead of defaulting every job to one route.
- Ground answers in approved sources and preserve evidence through citations.
- Give files, tools, and MCP connections least privilege, application-side authorization, bounded retries, and confirmations.
- Evaluate correctness, safety, latency, and cost before and after release.
- Build a complete support copilot that remains reviewable from evidence retrieval through release rollback.