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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
• Efficiency and workflow enhancement
• AI-supported development lifecycle
• Risks, constraints, and human supervision
• Live practical demonstrations

Module 2 — Fundamentals of Prompt Engineering

• Structure of an effective prompt
• Zero-shot versus few-shot prompting
• Iterative prompting strategies
• Basics of prompt chaining
• Structured outputs and formatting
• Prompt validation and quality enhancement

Module 3 — Prompting for Software Development

• Code generation and refactoring
• Debugging with AI support
• Documentation creation
• Pull request reviews
• Understanding legacy code
• Secure and maintainable AI-generated code

Module 4 — Prompting for Testing & Quality

• Test case creation
• Edge-case analysis
• Automation-ready test design
• AI-supported defect analysis
• Gherkin and test scenario authoring
• Quality validation workflows

Module 5 — Prompting for Agile Collaboration

• User stories and acceptance criteria
• Requirements refinement
• Agile communication support
• Stakeholder summaries
• Retrospective assistance
• Backlog refinement preparation

Module 6 — Responsible AI, Security & Verification

• Hallucinations and AI risks
• Confidentiality and secure prompting
• AI governance principles
• Validation checklists
• Prompt injection awareness
• Human review responsibilities

Module 7 — Team Prompt Lab

• Creating reusable team prompts
• Role-specific AI workflows
• Prompt sharing and peer review
• Creating Team Prompt Library v1
• Interactive collaborative exercises

Day 2

Module 1 — Advanced Features of Claude Code

• CLAUDE.md and persistent project context
• AI workflow automation
• Best-of-N generation strategies
• Reusable AI commands
• Context engineering techniques
• AI-supported engineering workflows

Module 2 — Sophisticated Prompt Engineering Methods

• Chain-of-thought prompting
• Multimodal prompting
• Constraint-based prompting
• Advanced prompt chaining
• Large-context management
• Conversational engineering workflows

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

• Git integration strategies
• Parallel AI development workflows
• 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)
• Claude integrations with external tools
• AI-supported architecture analysis
• Architecture Decision Records (ADR)
• AI-supported CI/CD troubleshooting
• Incident postmortems and operational workflows

Module 5 — Scaling Claude Code & Codebase Health

• Token and context management
• AI-friendly project structures
• Long-term codebase maintainability
• Documentation automation
• AI scalability strategies
• Team-wide engineering workflows

Module 6 — Capstone: Defining Your Claude Code Process

• Designing scalable AI-supported workflows
• Combining prompts, commands, and context files
• Team AI process design
• Cross-role collaboration models
• Workflow blueprint creation

Module 7 — Advanced Team Prompt Lab

• Sophisticated prompt library development
• Complex role-specific workflows
• Real-world prompt validation
• Cross-team collaboration exercises
• Team Prompt Library v2

Requirements

Day 1 — Core Foundations

• Fundamental awareness of software delivery cycles
• General comprehension of development, testing, or agile methodologies
• Access to Claude is suggested for practical exercises

Day 2 — Advanced Applications

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

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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