Instructor-led workshop

AI for Engineers

Use Copilot, MCP and local or hosted agents as disciplined engineering tools within a spec-driven development workflow.

Why this workshop

Move engineering teams from ad hoc prompting to repeatable AI-assisted workflows with clear context, tools and review points.

Engineers can select an appropriate Copilot or agent workflow and evaluate its output against an explicit specification.
Teams can extend agent capabilities through MCP without losing sight of permissions, observability and human review.

Turn intent, constraints and acceptance criteria into durable context for AI-assisted implementation.

Use Copilot effectively and connect trusted context or tools through the Model Context Protocol.

Build local Copilot agents and compare them with hosted agent workflows using Azure AI Foundry.

Build or scaffold MCP servers that expose focused, reviewable capabilities to engineering agents.

Scenarios reflect participants' current expertise, repositories and development practices rather than generic demonstrations.

Agent autonomy and governance depth are matched to the organisation's technology maturity and risk appetite.

We'll agree the emphasis, depth and practical exercises around your engineers and the outcomes you need.