AI Training for Engineering Teams
Turn AI agents into your team's unfair advantage
Audience
Who this is for
Engineering Leadership (CTOs, VPs, EMs)
Establish a scalable strategy for AI adoption across your organisation. We guide leadership in standardising agentic workflows, governing secure access to production repositories, and measuring authentic velocity improvements beyond raw output metrics.
Staff & Senior Engineers
Elevate your technical leadership from code generation to systems orchestration. Your lead engineers will master building custom MCP integrations, scripting autonomous multi-file architectural updates, and asserting strict design patterns at scale.
Mid-level & Junior Developers
Accelerate the trajectory of your developing talent. We equip them with advanced agentic debugging and proactive context-management techniques, enabling them to independently resolve deep architectural dependencies and compound their daily impact.
Overview
Workshop overview
AI coding now requires an architectural mindset, shifting from basic autocomplete toward sophisticated agentic operations. In this intensive 3-day deep-dive, we train your engineering teams to treat AI as an autonomous technical peer: architecting bespoke multi-agent pipelines, establishing strict MCP-enabled quality gates, and reliably automating comprehensive epics from initial triage through to tested production readiness.
Curriculum
Modular structure
Tailor the workshop to your team's specific bottlenecks. You can book any combination of the three modules below.
Advanced Agentic Workflows & System Architecture
A practical deconstruction of what enables an AI agent to reason and act independently. We break down the core agentic stack—the Brain (models), Memory (long-term context), and Hands (function calling)—and demonstrate how these components orchestrate multi-step engineering tasks.
- Architect 'digital employees' capable of reading Jira tickets, formulating solutions, and committing validated code
- Deconstruct the modern agent stack to master the intersection of reasoning models, memory, and tool integration
- Automate specialised, multi-stage engineering pipelines previously reliant on extensive manual intervention
Agent Architecture & Performance Optimisation
Strategic alignment of agent design to business reality. Not every problem requires the same architectural complexity. We teach your team how to properly evaluate, select, and scale the right pattern without over-engineering your solutions.
- Distinguish precisely when to deploy retrieval-based vs. action-oriented agents to maximize reliability
- Implement proven strategies for reducing token consumption and optimising compounding API costs
- Align complex AI architectures directly to tangible, measurable business outcomes
Governance, Safety & Human-in-the-Loop Operations
Agentic systems introduce novel risks alongside expanded capabilities. This module focuses on establishing robust trust frameworks, mitigating algorithmic hallucinations, and securely governing autonomous workflows across the organisation.
- Implement essential human-in-the-loop safeguards to ensure uncompromising safety within autonomous systems
- Establish rigorous governance protocols defining the intersection between AI agents and business users
- Master orchestration and workflow patterns using tools like Deep Research agents, NotebookLM, and AI Studio
Workshop details
Additional seats available - contact for pricing.
