Relevant to your team
Shape the learning around technical experience, business roles, and real responsibilities.
Technical coaching & training
Build the capability inside your team.
Give your engineers practical guidance on AI, agents, evaluation, and MLOps through structured learning and working sessions on their technical challenges.
Team enablement
Built around a specific need.
Your team needs to understand both the tools and the engineering decisions around them. We combine structured training with coaching on relevant designs and exercises. The curriculum can cover Claude, OpenAI, agent evaluation, ML pipelines, and cloud operations, based on the agreed learning goals.
Discuss technical coaching & trainingWHAT THIS SERVICE COVERS
Learning through practice
Work through examples in AI, ML, agents, and the engineering practices that support them.
Knowledge your team can use
Connect concepts to your development process and identify practical next steps.
ENGAGEMENT OUTPUTS
Something concrete
to build on.
↗Role-specific curriculum and learning objectives
↗Hands-on exercises and design-review sessions
↗Reference materials and a capability development plan
The scope and deliverables are agreed for your engagement.
HOW RESPONSIBILITY WORKS
We own the learning plan, coaching sessions, and agreed materials. Your team applies the learning and owns its systems.
Compare engagement options ↗A PRACTICAL START
Build understanding that transfers to daily work.
A discussion of your team’s current experience and learning goals.
Assess the audience
Agree prerequisites, roles, and learning goals. Identify where the team needs conceptual understanding or hands-on engineering depth.
Practice with feedback
Work through guided exercises using appropriate examples and tools. Discuss failure cases, evaluation, and responsible use in context.
Support application
Provide reference materials and next-step exercises. Review learning against the objectives and identify further development needs.
ILLUSTRATIVE ENGAGEMENT / NOT A CUSTOMER CASE STUDY
What this can look like in practice.
Your engineers know the basics of AI tools but need to apply them within your systems. Coaching can use a representative design or exercise to practice context design, evaluation, debugging, and operational thinking.
BEFORE WE START
What to bring.
- Participant roles, experience, and learning objectives
- Relevant examples or sanitized technical challenges
- Time for practical exercises and follow-up application
HOW WE ASSESS PROGRESS
What useful progress looks like.
- Participants can explain the relevant tradeoffs
- Engineers complete exercises with actionable feedback
- The team has a practical plan for applying the learning
BEFORE WE BEGIN
Your questions,
answered.
Is the same course used for every team?
No. We agree the curriculum and depth around the audience, from business literacy to technical AI engineering.
Can training use our own examples?
Yes, where access and data use are approved. We can also prepare representative exercises when production data or systems are unsuitable for training.
RELEVANT READING
Explore the ideas behind this service.
ARCHITECTURE / ADVISORY / ENGINEERING