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 Duration 14 hours

Course Outline

Day 1 Syllabus

Module 1 — Overview of Claude Code & AI-Enhanced Engineering

• Claude Code compared with conventional AI tools
• AI agents in software engineering
• Enhancing productivity and optimizing workflows
• AI-assisted development lifecycle
• Risks, constraints, and human supervision
• Live practical demonstrations

Module 2 — Essentials of Prompt Engineering

• Structure of an effective prompt
• Zero-shot versus few-shot prompting
• Techniques for iterative prompting
• Basics of prompt chaining
• Managing structured outputs and formatting
• Verifying prompts and enhancing quality

Module 3 — Prompting for Software Development

• Generating and refactoring code
• AI-supported debugging
• Creating documentation
• Reviewing pull requests
• Understanding legacy code
• Producing safe and maintainable AI-generated code

Module 4 — Prompting for Testing & Quality Assurance

• Generating test cases
• Analyzing edge cases
• Designing automation-ready tests
• AI-assisted defect analysis
• Creating Gherkin and test scenarios
• Quality verification workflows

Module 5 — Prompting for Agile Collaboration

• Defining user stories and acceptance criteria
• Refining requirements
• Supporting agile communication
• Summarizing information for stakeholders
• Assisting with retrospectives
• Preparing for backlog refinement

Module 6 — Responsible AI, Security & Verification

• AI hallucinations and associated risks
• Ensuring confidentiality and secure prompting
• Principles of AI governance
• Using verification checklists
• Awareness of prompt injection
• Responsibilities of human review

Module 7 — Team Prompt Lab

• Creating reusable team prompts
• Developing role-specific AI workflows
• Sharing prompts and conducting peer reviews
• Building the Team Prompt Library v1
• Interactive collaborative exercises

Day 2

Module 1 — Advanced Capabilities of Claude Code

• CLAUDE.md and maintaining persistent project context
• Automating AI workflows
• Strategies for Best-of-N generation
• Creating reusable AI commands
• Techniques for context engineering
• AI-assisted engineering workflows

Module 2 — Advanced Prompt Engineering Methods

• Chain-of-thought prompting
• Multimodal prompting
• Constraint-based prompting
• Sophisticated prompt chaining
• Managing large contexts
• Conversational engineering workflows

Module 3 — Version Control, Parallel Development & Multi-Agent Workflows

• Strategies for Git integration
• Parallel AI development workflows
• Using worktrees and isolating AI tasks
• Orchestrating multi-agent systems
• Implementing human-in-the-loop checkpoints
• Strategies for managing conflicts

Module 4 — Architecture, MCP & Advanced DevOps

• Model Context Protocol (MCP)
• Integrating Claude with external tools
• AI-assisted architecture analysis
• Architecture Decision Records (ADR)
• Troubleshooting AI-assisted CI/CD
• Incident postmortems and operational workflows

Module 5 — Scaling Claude Code & Codebase Health

• Managing tokens and context
• Structuring AI-friendly projects
• Ensuring long-term codebase maintainability
• Automating documentation
• Strategies for AI scalability
• Team-wide engineering workflows

Module 6 — Capstone: Defining Your Claude Code Process

• Designing scalable AI-assisted workflows
• Integrating prompts, commands, and context files
• Designing team AI processes
• Models for cross-role collaboration
• Creating workflow blueprints

Module 7 — Advanced Team Prompt Lab

• Developing advanced prompt libraries
• Creating complex role-specific workflows
• Validating prompts in real-world scenarios
• Cross-team collaboration exercises
• Team Prompt Library v2

Requirements

Day 1 — Foundations

• Fundamental knowledge of software delivery processes
• A general grasp of development, testing, or agile workflows
• Access to Claude is advised for practical exercises

Day 2 — Advanced

• Completion of Day 1 (or comparable experience)
• Prior familiarity with Claude Code and prompt engineering principles
• Basic understanding of Git
• Knowledge of CI/CD concepts is suggested

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