On the programme
From MacBook to Bedrock: Lessons from Building an AI Assistant
2025 · Prague
With Philipp Bergsmann. The OTTO build, end to end, including the parts that did not work first time.
The services doing the work
Read off the slides, not guessed. Each card says what that service did in this build, and links to the page explaining the capability and how to run it somewhere else.
InstructLab
The open-source pipeline behind the fine-tune: documents become Q&A pairs in YAML, synthetic data is generated from them, then the adapter is trained with LoRA. Model-agnostic, and it ran on a laptop.
Amazon Bedrock
The workstation. Claude Sonnet 3.7, Amazon Nova Pro and the custom model are all served from one place.
Amazon Bedrock Custom Model Import
Serves the fine-tuned Llama 3.1 3B as the UG Specialist, so the trained model needs no cluster of its own.
CrewAI
Runs the crew: Q&A agent, agenda producer, header generator, speaker finder, GitHub planner and the UG Specialist.
AWS App Runner
Runs the agent container. The whole system came to about 30 euros a month.
Amazon ECR
Holds the container image App Runner pulls.
Amazon S3
Stores the trained model before Bedrock imports it.
Llama 3.1 3B
The open-weights base model that became the UG Specialist, adapted with LoRA rather than retrained.
Amazon Nova Pro
The agent model, and the teacher that generated the synthetic training data.
Claude Sonnet 3.7
Answers the open questions in the Q&A agent.
Red Hat OpenShift AI
The alternative to training on a Mac: the same run as a Jupyter environment or an OpenShift pipeline.
The longer write-ups
Where the builds behind these sessions are explained properly.
From AI Demo to Enterprise Solutions
The longer write-up: the build, the services and what it costs to run.
Enterprise AI Consultant vs. AI Consultant
The longer write-up: the build, the services and what it costs to run.
What is an AWS Community Day?
The longer write-up: the build, the services and what it costs to run.
10 Years of AWS User Group Vienna
The longer write-up: the build, the services and what it costs to run.
The same talk, other stages
Same session, a different room. Each page carries its own deck.
- AWS re:Invent
- AWS Community Day DACH
- AWS Community Day Slovakia
- AWS Community Day Romania
- AWS Community Day Italy
- AWS Community Day Poland
- CTRL+ESC Malta
- AWS Student Builder Group St. Pölten
- Cloud Day FH Burgenland
Where all of this comes from
Every claim on this page traces back to the deck, the recap or the event’s own site.
- Slides: From MacBook to Bedrock: Lessons from Building an AI Assistant, 2025
- Recap: From MacBook to Bedrock: Lessons from Building an AI Assistant, 2025
- From AI Demo to Enterprise Solutions
- Enterprise AI Consultant vs. AI Consultant
- What is an AWS Community Day?
- 10 Years of AWS User Group Vienna
Everything here is free to read, use and share. No email needed for the slides. If you reuse something, please credit the source.
This page mirrors the talk page on lindamohamed.com, where it was first published.