Course Outline
Day 1 Outline
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
• The AI-assisted development lifecycle
• Risks, limitations, and the need for human oversight
• Live practical demonstrations
Module 2 — Prompt Engineering Fundamentals
• Structure of an effective prompt
• Zero-shot vs. 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
• Code generation and refactoring techniques
• AI-assisted debugging
• Generating documentation
• Reviewing pull requests
• Understanding legacy code
• Ensuring safe and maintainable AI-generated code
Module 4 — Prompting for Testing & Quality
• Generating test cases
• Analyzing edge cases
• Designing tests for automation
• AI-assisted defect analysis
• Creating Gherkin and test scenarios
• Quality verification workflows
Module 5 — Prompting for Agile Collaboration
• Crafting user stories and acceptance criteria
• Refining requirements
• Supporting agile communication
• Preparing stakeholder summaries
• Assisting with retrospectives
• Preparing for backlog refinement
Module 6 — Responsible AI, Security & Verification
• Understanding hallucinations and AI risks
• Maintaining confidentiality and secure prompting
• Principles of AI governance
• Verification checklists
• Awareness of prompt injection threats
• Responsibilities of human review
Module 7 — Team Prompt Lab
• Building reusable team prompts
• Creating role-specific AI workflows
• Sharing prompts and conducting peer reviews
• Creating Team Prompt Library v1
• Interactive collaborative exercises
Day 2
Module 1 — Claude Code Advanced Capabilities
• Using CLAUDE.md for persistent project context
• Automating AI workflows
• Best-of-N generation strategies
• Creating reusable AI commands
• Context engineering techniques
• AI-assisted engineering workflows
Module 2 — Advanced Prompt Engineering Techniques
• Chain-of-thought prompting
• Multimodal prompting
• Constraint-based prompting
• Advanced prompt chaining
• Managing large contexts
• Conversational engineering workflows
Module 3 — Version Control, Parallel Development & Multi-Agent Workflows
• Git integration strategies
• Parallel AI development workflows
• Using worktrees and isolated AI tasks
• Multi-agent orchestration
• Human-in-the-loop checkpoints
• Conflict management strategies
Module 4 — Architecture, MCP & Advanced DevOps
• Model Context Protocol (MCP)
• Integrating Claude with external tools
• AI-assisted architecture analysis
• Architecture Decision Records (ADR)
• AI-assisted CI/CD troubleshooting
• Incident postmortems and operational workflows
Module 5 — Scaling Claude Code & Codebase Health
• Token and context management
• Creating AI-friendly project structures
• Ensuring long-term codebase maintainability
• Automating documentation
• AI scalability strategies
• Team-wide engineering workflows
Module 6 — Capstone: Define Your Claude Code Process
• Designing scalable AI-assisted workflows
• Combining prompts, commands, and context files
• Designing team AI processes
• Cross-role collaboration models
• Creating workflow blueprints
Module 7 — Advanced Team Prompt Lab
• Developing advanced prompt libraries
• Complex role-specific workflows
• Real-world prompt validation
• Cross-team collaboration exercises
• Creating Team Prompt Library v2
Requirements
Day 1 — Foundation
• A basic grasp of software delivery processes
• General knowledge of development, testing, or agile workflows
• Access to Claude is recommended for hands-on exercises
Day 2 — Advanced
• Completion of Day 1 (or comparable practical experience)
• Prior familiarity with Claude Code and prompt engineering concepts
• Fundamental Git knowledge
• Knowledge of CI/CD concepts is advised
Testimonials (2)
Considerations about privacy and policy
Angelo Stefano Soglia - Parkino srl
Course - Claude AI for Workflow Automation and Productivity
Learning how to prompt Claude and use it to digest all of the data I have available.