A transformative two-day workshop that gives your software team the skills to work effectively alongside AI - and leave the competition behind.
GitHub Copilot, Cursor, Claude, GPT-4 - the tools available to software developers have changed radically in the past two years. Teams that have learned to use these tools effectively are reporting 30-50% productivity gains. Those that have not are falling behind.
But knowing a tool exists and knowing how to use it effectively are very different things. Most developers who "tried Copilot once" are using less than 10% of its potential. Our workshop changes that in two days.
Delivered by practising software engineers who use these tools in production every day, our training is practical, hands-on, and tailored to your team's specific tech stack and workflows.
Average productivity improvement reported by developer teams after effective AI adoption
Intensive workshop duration - practical results from day one
Per participant (minimum 10 participants per cohort)
Hands-on - every participant works through real exercises with AI tools
A carefully designed curriculum that builds from foundations to advanced techniques - applicable from day one back in the workplace.
Navigate the rapidly evolving ecosystem of AI development tools. Understand which tools are best for which tasks and why.
Learn to communicate with AI models effectively. Write prompts that consistently produce high-quality, maintainable code.
Integrate AI into every stage of your development workflow — from design to deployment.
Use AI tools without introducing risk. Understand data privacy, IP considerations and how to validate AI-generated code.
Use AI to tackle the hardest jobs - understanding and modernising legacy codebases faster than ever before.
Know whether your AI adoption is actually working. Set up metrics, track improvements and build a culture of continuous AI learning.
The state of AI in software development and what has changed in the past 12 months.
Hands-on: configuring GitHub Copilot, Cursor and other tools in your existing editor.
Practical prompt patterns, common mistakes and how to iterate towards high-quality outputs.
Work through realistic feature development exercises with AI assistance.
Group discussion, questions and preview of Day 2.
Generating comprehensive test suites and using AI to catch bugs before they ship.
Hands-on exercises using AI to understand and modernise legacy codebases.
Data privacy, IP, security review of AI-generated code and building internal policies.
Guided session to create an actionable 90-day plan for your team's AI adoption.
Final Q&A, participant certificates and follow-up resources pack.
2-day intensive · in-person or virtual