Claude Code in Action
HOT COURSE
Certificate of Completion by Code.Hub
This course teaches developers how to work with Claude Code as a coding agent. How to use it to build features, write tests, refactor code, automate pipelines, and collaborate as a team. The course is specifically designed to allow participants to learn how to leverage an AI coding agent effectively working with the most popular technology stacks.
By the end of this course, participants will be able to:
- Use Claude Code as a primary development tool, delegating tasks by intent
- Configure Claude Code for any project using CLAUDE.md so the agent respects team conventions automatically
- Apply proven prompt patterns to get consistent, production-quality output from the agent
- Generate complete feature slices from a single high-level prompt
- Use Claude Code to explore and understand unfamiliar codebases quickly
- Generate meaningful test suites and close coverage gaps through agent dialogue
- Identify and correct hallucinations and errors in AI-generated code
- Design lightweight team workflows and shared conventions for AI-assisted development
Orientation & first delegation
- Agent model vs. autocomplete
- CLI install, authentication
- Scaffold sample project from scratch
- Reviewing and verifying output
CLAUDE.md at every level
- Why context resets and how to prevent it
- Global, project and sub-folder files
- Author all three for sample project
- Test how each changes behaviour
Prompting patterns and slash commands
- Explore, plan, implement, review
- /init, /memory, /compact, /clear
- Custom project slash commands
- Common failure modes
Building features with multi-file generation
- Scoping a feature prompt effectively
- Multi-file generation in practice
- Output review checklist
- Build assignment, deadlines and notifications
Testing and refactoring
- Coverage gap analysis
- Impact analysis before a change
- Propose, review, approve cycle
- Refactor the task repository layer
Debugging Claude Code failures
- Hallucination patterns and how to spot them
- Trust calibration framework
- Diagnose and fix broken sample project code
- Steering a stuck agent
CI/CD, automation and team workflows
- GitHub Action setup and permissions
- @claude in PRs: review, fix, explain
- SDK for headless automation
- Shared CLAUDE.md as a team contract
Capstone: full feature from zero
- Participants write the spec and drive Claude
- Live debugging and course-correction
- Course retrospective
- Roles: Backend Developer, Engineering Manager, Full-Stack Developer, Software Architect, Software Developer, Technical Lead, Test Engineer, Data Engineer, Quality Assurance Engineer
- Seniority: Mid-Level to Senior Professionals
- Comfortable writing code in any modern technology stack, ideally having hands-on experience (The sample codebase will use Java and Spring Boot)
- Basic Git workflow (commit, branch, pull request)
- No prior experience with AI coding tools or prompt engineering required
Sessions can be delivered via the following formats:
- Live Online – Interactive virtual sessions via video conferencing
- On-Site – At your organization’s premises
- In-Person – At Code.Hub’s training center
- Hybrid – A combination of online and in-person sessions

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