BLUEGRAIN / DEVELOPER-TEAM COURSES

Learn it. Build it.
Make it your own.

Practical learning for teams building with AI, automation, and modern software. Less passive watching. More understanding through doing.

Shape a course for your team {{icon:arrow-up-right}}
{{icon:code}}Hands on, from the start.

Exercises, working examples, and space to ask the awkward questions.

{{icon:people}}Built for your team.

Topics and depth matched to your experience, stack, and goals.

{{icon:layers}}Knowledge that connects.

Understand the choices behind the tools—not just the steps to follow.

01 / STARTING POINTS FOR YOUR CURRICULUM

Three tracks.
Your team’s direction.

These course outlines are a starting point. We agree the format, depth, and exercises around the people in the room.

01.{{icon:spark}}
FOR DEVELOPERS & TECHNICAL LEADS

AI-assisted
development.

Bring AI into daily engineering work with more intention, useful context, and a clear standard for review.

01 / Context, prompts & useful constraints02 / Code generation, review & verification03 / Debugging and test design with assistance04 / Team conventions & responsible tool use
Explore the workshop {{icon:plus}}
Work through a small development task, compare prompting approaches, evaluate generated changes, and define a practical review checklist. The aim is better judgment alongside useful tools.
Discuss this track {{icon:arrow-up-right}}
02.{{icon:flow}}
FOR BUILDERS OF CONNECTED SYSTEMS

Reliable AI
& automation.

Move from a promising demo to a workflow that handles real inputs, meaningful checks, and the exceptions.

01 / APIs, structured data & tool boundaries02 / Retrieval & grounded responses03 / Evaluation, retries & human review04 / Observability, cost & recovery
Explore the workshop {{icon:plus}}
Build a small intake-to-action workflow, introduce imperfect inputs, and add validation, review, and recovery paths. Extend it with a grounded AI step and assess where that step adds value.
Discuss this track {{icon:arrow-up-right}}
03.{{icon:gauge}}
FOR ENGINEERS WHO WANT THE EVIDENCE

Performance
engineering.

Build a repeatable way to investigate slow systems, test a hypothesis, and understand the effect of a change.

01 / Workloads, baselines & useful metrics02 / Profiling & bottleneck investigation03 / Query, concurrency & resource tradeoffs04 / Experiments, comparison & regression checks
Explore the workshop {{icon:plus}}
Start with a deliberately constrained application, observe its behavior, locate a bottleneck, and compare an improvement under a consistent workload. Explain the tradeoff before accepting the result.
Discuss this track {{icon:arrow-up-right}}
02 / A FORMAT THAT FITS

Start with the people.
Shape the learning.

Share your team’s background, the questions they are facing, and what they want to be able to do next. Together, we can shape a focused workshop, a sequence of sessions, or learning alongside a delivery project.

Plan a team conversation {{icon:arrow-up-right}}
01Set the goal.

A useful capability your team wants to develop.

02Choose the context.

Your stack, representative examples, and agreed exercises.

03Practice, then reflect.

Working sessions with review, discussion, and follow-through.

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