Training topics
Practical AI training catalog.
Each topic lists its audience, prerequisites, outline, and expected output, with 1-on-1 and enterprise options.
Every topic marks its human checkpoints.
Claude Code Intro: Installation and Basics
Prepare the environment and complete a first task you can repeat on your own.
- For
- People using the tool for the first time who want a guided setup.
- Output
- A reusable personal getting-started checklist.
Claude Code Advanced: Automated Workflows
Use project instructions, commands, and checkpoints to shape a repeatable workflow.
- For
- People who know the basics and want to use the tool in daily work.
- Output
- An automated workflow with inputs, checkpoints, and completion criteria.
Claude Code + Git in Practice
Use branches, commits, and review so AI-assisted changes remain traceable.
- For
- People who know the basics and want to use the tool in daily work.
- Output
- A daily version-control flow that is reviewable and reversible.
Claude Code Debugging: Find the Real Cause
Gather evidence, narrow the scope, and verify fixes instead of asking AI to guess.
- For
- People who know the basics and want to use the tool in daily work.
- Output
- A debugging record with reproduction steps, root cause, and verification.
Claude Code Full Stack: Requirement to Deploy
Take a small product from requirements and UI through API and deployment.
- For
- People who know the basics and want to use the tool in daily work.
- Output
- A deployable, acceptance-ready small product slice.
Claude Code Automated Testing and CI/CD
Define risk and test strategy before adding the right checks to continuous integration.
- For
- People responsible for deployment, collaboration, quality, or larger projects.
- Output
- An automated check pipeline that explains why it failed.
Claude Code Refactoring Large Codebases
Understand boundaries and protect behavior before changing a large legacy codebase.
- For
- People responsible for deployment, collaboration, quality, or larger projects.
- Output
- A refactor plan with order, rollback points, and completion criteria.
Claude Code Task Decomposition and Context
Know what context to provide and when to review or stop in multi-step work.
- For
- People responsible for deployment, collaboration, quality, or larger projects.
- Output
- A task specification another person or agent can continue.
OpenClaw Setup: Start with the Environment
Check requirements, install OpenClaw, and complete a safe first launch.
- For
- People using the tool for the first time who want a guided setup.
- Output
- A local setup you can start and stop safely.
OpenClaw + LINE Integration
Configure LINE and verify an assistant with working messages and a human handoff boundary.
- For
- People who know the basics and want to use the tool in daily work.
- Output
- A testable LINE message and handoff flow.
OpenClaw + Telegram Automation
Connect Telegram, then add response rules and scheduled tasks.
- For
- People who know the basics and want to use the tool in daily work.
- Output
- A Telegram assistant with clear commands and schedule records.
OpenClaw Skills: Build Custom Capabilities
Build a capability with clear structure, tests, maintenance, and permissions.
- For
- People responsible for deployment, collaboration, quality, or larger projects.
- Output
- A custom skill with tests and usage guidance.
OpenClaw Gateway Architecture and Deployment
Understand the Gateway role, configuration, network boundaries, and deployment choices.
- For
- People responsible for deployment, collaboration, quality, or larger projects.
- Output
- A reviewable Gateway deployment map and checklist.
OpenClaw Multi-platform: LINE, Telegram, Discord
Compare platform constraints and build consistent messaging without hiding differences.
- For
- People responsible for deployment, collaboration, quality, or larger projects.
- Output
- An integration spec covering platform differences and maintenance ownership.
OpenClaw Production Deployment and Monitoring
Move from containers to monitoring with explicit production permissions and recovery ownership.
- For
- People responsible for deployment, collaboration, quality, or larger projects.
- Output
- A production deployment checklist with monitoring and recovery ownership.
OpenClaw Custom Models and RAG
Understand how model choice, knowledge data, citations, and response quality relate.
- For
- People responsible for deployment, collaboration, quality, or larger projects.
- Output
- A RAG plan with data sources, evaluation questions, and limitations.
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