Course Outline
Day 1 Agenda
Module 1 — Introduction to Claude Code & AI-Driven Engineering
• Comparing Claude Code with traditional AI tools
• The role of AI agents in software engineering
• Optimizing productivity and workflows
• AI-supported development lifecycles
• Managing risks, limitations, and human oversight
• Live practical demonstrations
Module 2 — Prompt Engineering Basics
• Structure of an effective prompt
• Zero-shot vs. few-shot prompting
• Iterative prompting methods
• Fundamentals of prompt chaining
• Structured outputs and formatting rules
• Prompt verification and quality enhancement
Module 3 — Prompting for Software Development
• Code generation and refactoring
• AI-assisted debugging
• Automatic documentation generation
• Pull request review support
• Understanding legacy code
• Ensuring safe and maintainable AI-generated code
Module 4 — Prompting for Testing & Quality Assurance
• Test case creation
• Edge-case analysis
• Designing tests for automation
• AI-assisted defect analysis
• Creating Gherkin and test scenarios
• Quality verification workflows
Module 5 — Prompting for Agile Collaboration
• User stories and acceptance criteria
• Requirements refinement
• Supporting agile communication
• Creating stakeholder summaries
• Assisting in retrospectives
• Preparing for backlog refinement
Module 6 — Responsible AI, Security & Verification
• Hallucinations and AI-related risks
• Confidentiality and secure prompting
• Principles of AI governance
• Verification checklists
• Awareness of prompt injection threats
• Responsibilities in human review
Module 7 — Team Prompt Laboratory
• Creating reusable team prompts
• Role-specific AI workflows
• Prompt sharing and peer reviews
• Establishing Team Prompt Library v1
• Collaborative interactive exercises
Day 2
Module 1 — Advanced Claude Code Capabilities
• CLAUDE.md and persistent project context
• Automating AI workflows
• Best-of-N generation strategies
• Reusable AI commands
• Context engineering techniques
• AI-supported engineering processes
Module 2 — Advanced Prompt Engineering Methods
• 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 processes
• 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)
• Troubleshooting AI-assisted CI/CD
• Incident postmortems and operational workflows
Module 5 — Scaling Claude Code & Codebase Health
• Managing tokens and context
• AI-friendly project structures
• Long-term codebase maintainability
• Documentation automation
• AI scalability strategies
• Engineering workflows for entire teams
Module 6 — Capstone: Defining Your Claude Code Process
• Designing scalable AI-supported workflows
• Combining prompts, commands, and context files
• Designing team AI processes
• Cross-role collaboration models
• Creating workflow blueprints
Module 7 — Advanced Team Prompt Laboratory
• Developing advanced prompt libraries
• Complex role-specific workflows
• Validating prompts in real-world scenarios
• Cross-team collaboration exercises
• Team Prompt Library v2
Requirements
Day 1 — Core Foundations
• Fundamental understanding of software delivery processes
• General knowledge of development, testing, or agile workflows
• Access to Claude is advised for practical exercises
Day 2 — Advanced Techniques
• Completion of Day 1 (or equivalent practical experience)
• Prior experience with Claude Code and prompt engineering concepts
• Basic proficiency in Git
• Familiarity with CI/CD principles is recommended
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.