Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Claude Code & AI-Assisted Software Engineering
- What Claude Code is and how it differs from traditional AI tools
- The role of generative AI agents in software engineering
- Building entire applications using large prompts
- Understanding productivity gains from AI-assisted development
AI Labor & Software Engineering Productivity
- Treating Claude Code as an AI development team member
- Addressing common fears and misconceptions about AI in engineering
- Understanding the economics of AI labor
- Leveraging the Best-of-N pattern to generate multiple solutions
- Selecting and refining optimal implementations
Claude Code, Design, and Code Quality
- Evaluating whether AI can effectively judge code quality
- Applying software design principles with AI assistance
- Using AI to explore requirements and solution spaces
- Rapid prototyping via conversational design workflows
- Applying constraints and structured prompts to improve output quality
Process, Context, and the Model Context Protocol (MCP)
- The importance of process and context over raw code generation
- Managing global persistent context using CLAUDE.md
- Structuring project rules, architecture, and constraints in context files
- Achieving reusable targeted context through Claude Code commands
- In-context learning by teaching Claude Code with examples
Automation & Documentation with Claude Code
- Using Claude Code to generate and maintain documentation
- Automating repetitive engineering tasks
- Creating reusable workflows driven by context and commands
Version Control & Parallel Development with Claude Code
- Integrating Claude Code with Git-based workflows
- Using Git branches and worktrees alongside AI agents
- Running multiple Claude Code tasks in parallel
- Coordinating several AI subagents on separate features
- Safely managing parallel feature development
Scaling Claude Code & AI Reasoning
- Acting as Claude Code’s hands, eyes, and ears
- Ensuring Claude Code reviews and verifies its own work
- Managing token limits and architectural complexity
- Designing project structure and file naming for AI scalability
- Maintaining long-term codebase health with AI assistance
Multimodal Prompting & Process-Driven Development
- Fixing process and context before addressing code issues
- Translating informal inputs (notes, sketches, specs) into production code
- Using multimodal inputs to guide implementation
- Creating repeatable AI-assisted development processes
Capstone: Defining Your Claude Code Process
- Designing a personal or team-level Claude Code workflow
- Combining context files, commands, subagents, and prompts
- Creating a reusable, scalable AI-assisted engineering process
Requirements
- Familiarity with software development principles and standard engineering workflows.
- Experience programming in languages such as JavaScript, Python, etc.
- Comfort using the command line/terminal and working with Git workflows.
Target Audience
- Software developers looking to incorporate AI into their development processes.
- Technical team leads aiming to boost engineering productivity using AI tools.
- DevOps engineers and engineering managers interested in AI-assisted coding automation.
21 Hours
Testimonials (2)
The power of claude is the next gold in the IT space.
QINISO DLAMINI - Eswatini Revenue Service
Course - Claude for Coding
Chris did a phenomenal job of framing food for thought and facilitating team conversation on the various subjects.
