Course Outline
Day 1 Curriculum
Module 1 — Introduction to Claude Code & AI-Assisted Engineering
• Comparing Claude Code with traditional AI tools
• The role of AI agents in software engineering
• Optimizing productivity and workflows
• AI-supported development lifecycle
• Managing risks, limitations, and human oversight
• Live practical demonstrations
Module 2 — Foundations of Prompt Engineering
• Structure of effective prompts
• Zero-shot versus few-shot prompting
• Iterative prompting strategies
• Basics of prompt chaining
• Structured output and formatting
• Prompt validation and quality enhancement
Module 3 — Prompting for Software Development
• Code generation and refactoring
• AI-assisted debugging
• Automated documentation generation
• Pull request review support
• Understanding legacy code
• Ensuring AI-generated code is safe and maintainable
Module 4 — Prompting for Testing & Quality Assurance
• Generating test cases
• Analyzing edge cases
• Designing automation-ready tests
• AI-supported defect analysis
• Creating Gherkin scenarios and test cases
• Quality validation workflows
Module 5 — Prompting for Agile Collaboration
• Writing user stories and acceptance criteria
• Refining requirements
• Supporting agile communication
• Creating stakeholder summaries
• Assisting with retrospectives
• Preparing for backlog refinement
Module 6 — Responsible AI, Security & Verification
• Mitigating hallucinations and AI risks
• Confidentiality and secure prompting practices
• AI governance principles
• Verification checklists
• Awareness of prompt injection threats
• Defining human review responsibilities
Module 7 — Team Prompt Laboratory
• Creating reusable team prompts
• Implementing role-specific AI workflows
• Prompt sharing and peer reviews
• Developing Team Prompt Library v1
• Interactive collaborative exercises
Day 2
Module 1 — Advanced Claude Code Capabilities
• Using CLAUDE.md for persistent project context
• Automating AI workflows
• Best-of-N generation techniques
• Creating reusable AI commands
• Context engineering methods
• Advanced AI-assisted engineering processes
Module 2 — Advanced Prompt Engineering Techniques
• Chain-of-thought prompting
• Multimodal prompting
• Constraint-based prompting
• Complex prompt chaining
• Managing large contexts
• Conversational engineering workflows
Module 3 — Version Control, Parallel Development & Multi-Agent Systems
• Git integration strategies
• Parallel AI development workflows
• Utilizing worktrees and isolated AI tasks
• Multi-agent orchestration
• Implementing human-in-the-loop checkpoints
• Conflict resolution strategies
Module 4 — Architecture, MCP & Advanced DevOps
• Model Context Protocol (MCP)
• Integrating Claude with external tools
• AI-supported architectural analysis
• Architecture Decision Records (ADR)
• AI-assisted CI/CD troubleshooting
• Incident post-mortems and operational workflows
Module 5 — Scaling Claude Code & Codebase Health
• Token and context management
• Structuring projects for AI compatibility
• Ensuring long-term codebase maintainability
• Automating documentation
• AI scalability strategies
• Organization-wide engineering workflows
Module 6 — Capstone: Defining Your Claude Code Process
• Designing scalable AI-assisted workflows
• Integrating prompts, commands, and context files
• Architecting team AI processes
• Cross-role collaboration models
• Creating workflow blueprints
Module 7 — Advanced Team Prompt Laboratory
• Developing advanced prompt libraries
• Implementing complex role-specific workflows
• Validating prompts in real-world scenarios
• Cross-team collaboration exercises
• Creating Team Prompt Library v2
Requirements
Day 1 — Core Fundamentals
• Basic understanding of software delivery processes
• General knowledge of development, testing, or agile workflows
• Access to Claude is recommended for practical exercises
Day 2 — Advanced Applications
• Completion of Day 1 or equivalent prior experience
• Familiarity with Claude Code and prompt engineering concepts
• Foundational knowledge of Git
• Understanding of CI/CD principles is advised
Testimonials (2)
Learning how to prompt Claude and use it to digest all of the data I have available.
Mike Hartleroad - Furniture Row
Course - Claude AI for Data Analysis and Business Intelligence
how to engage with the Office environment and set up repetitive tasks