AI for Developers & Engineering Teams
Go beyond autocomplete. Master AI-assisted development, agentic coding, and enterprise-grade governance.
Most developers already use AI to write code. Few use it well. This 2-day intensive workshop focuses on what actually matters in a professional environment: effective tool mastery across GitHub Copilot, Microsoft Copilot, and Claude Code - combined with governance, security, and the agentic frameworks that let AI handle real multi-step engineering tasks.
Who is this program for?
- ✓ Software engineers and developers using or planning to use AI coding tools
- ✓ Engineering leads responsible for AI tool adoption and team standards
- ✓ IT and DevSecOps teams managing governance of AI-generated code
- ✓ Technical architects evaluating agentic AI for development workflows
- ✓ Teams using GitHub, Azure DevOps, or Microsoft 365 environments
What this program addresses
Shallow tool usage
Most developers use AI for autocomplete. This program shows how to work with AI on complex, multi-file, and multi-step engineering tasks - the level where real productivity gains happen.
Security and compliance gaps
AI-generated code introduces real risks: hallucinated libraries, leaked credentials, license issues, and policy violations. We cover how to catch, prevent, and govern these at scale.
No standard for AI use across the team
Individual experimentation produces inconsistent results. We help teams define shared standards, review processes, and prompting conventions that work across the whole engineering org.
Agentic AI still feels out of reach
Autonomous agents that handle full task chains - from spec to PR - are here now. This program gives developers hands-on experience building and governing real agentic workflows.
What makes this program different
This isn't an intro course. Participants already write code and use AI tools. The focus is on mastery, governance, and the agentic layer - taught by practitioners who build with these tools every day, not trainers working from slides.
What your team takes away:
- → Prompt library for coding workflows (Copilot-first + Claude Code variants)
- → AI code governance framework (review checklist, security guardrails)
- → Agentic workflow templates for common engineering tasks
- → Team adoption playbook with role-based guidelines
- → 30-day implementation roadmap
Program overview (2-day remote workshop)
Day 1 - Module 1: AI Tool Mastery (GitHub Copilot, Claude Code, Microsoft Copilot)
- • How each tool differs and when to use which
- • Context injection, multi-file awareness, and working with large codebases
- • Advanced prompting patterns for code generation, refactoring, and debugging
- • Claude Code for longer reasoning chains and complex tasks
Outcome: Developers can use all three tools effectively for real engineering work - not just line completions.
Day 1 - Module 2: Security, Compliance & Code Governance
- • Common risks: hallucinated dependencies, credential exposure, GPL-tainted code
- • Internal policy alignment: what AI can and cannot touch in your environment
- • Code review workflows adapted for AI-assisted development
- • Practical red/amber/green guardrails for the team
Outcome: A shared governance standard your team can adopt from day one.
Day 2 - Module 3: Agentic AI for Developers
- • What agentic frameworks are and how they work (Copilot Workspace, Claude Agents, custom agents)
- • Task decomposition: breaking engineering tasks into agent-executable steps
- • Hands-on: building a simple agentic workflow for a real use case
- • Limitations, failure modes, and when not to use agents
Outcome: Participants can design and run basic agentic workflows for engineering tasks.
Day 2 - Module 4: Team Standards & Structuring AI Use at Scale
- • Defining AI usage tiers across your org (who uses what, and how)
- • Prompt libraries and shared conventions for consistency
- • Measuring the impact of AI tool adoption
- • Onboarding new developers into an AI-enabled workflow
Outcome: A team-level structure for sustainable, governed AI-assisted development.
Optional add-ons
Business & Internal Teams Track (Half-day)
- • Basic to advanced prompting with ChatGPT Enterprise
- • Deep Research, web search, and specialised modes
- • Use-case mapping for non-technical roles
- • Session designed for groups of ~10
AI Champions Program
- • 2–3 internal champions trained to run agentic AI independently
- • Champion playbook and internal enablement kit
- • Ongoing support to sustain adoption after the workshop
What we practise together
- → Refactor a legacy function using Copilot with a defined style guide
- → Generate a test suite from a spec with Claude Code
- → Audit AI-generated code for security issues and dependency risks
- → Run an agentic task from ticket to pull request
- → Build a shared prompt library for a specific engineering workflow
- → Define team guardrails for AI tool use in production code
What your team will achieve
- ✓ Faster development cycles with AI used at the right depth, not just for autocomplete
- ✓ A shared governance standard that reduces security and compliance risk
- ✓ Real experience with agentic workflows - not just theory
- ✓ Internal champions who can sustain and grow AI adoption after the workshop
- ✓ A clear team policy: what AI can touch, how it's reviewed, and who is responsible
How it works
Optional pre-work: IT context audit to confirm tool compatibility and environment constraints
Day 1 (remote): AI tool mastery and security/governance - live sessions with real coding exercises
Day 2 (remote): Agentic AI and team structuring - hands-on agent builds and adoption planning
Aftercare: governance framework, prompt library, team playbook, and 30-day follow-up
FAQ
Do participants need to already use AI coding tools?
Some familiarity helps, but it's not required. The program is designed to work for developers at different levels of AI tool experience - from occasional users to daily users who want to go deeper.
Which tools does the program cover?
GitHub Copilot, Microsoft Copilot, and Claude Code are the primary focus. The governance and agentic content applies broadly to most AI coding environments.
Is this delivered remotely only?
Remote delivery by default, as requested. On-site delivery is also available for groups in Switzerland or nearby regions.
What do participants need to bring or prepare?
A laptop with their usual development environment. We recommend completing the optional IT context audit beforehand to ensure tool access is confirmed.
Can this be customised for our stack or tooling?
Yes. We tailor exercises and examples to your team's specific stack, tools, and internal policies during the pre-work phase.