AI consulting and strategy: LLM deployment and MLOps
Help organisations choose, deploy and govern AI.
Your running project
An AI plan for a cooperative
- The need
- Find where AI really helps, cost it, and manage its risks.
- The data
- The processes of a fictional or willing organisation.
- External tools
- API de modèlesISO/IEC 42001Tableur de coûts
Workshop
Establish the needs
Who uses it, what problem it solves, how to tell it worked.
What you will learn
- Spotting use cases worth the cost
- Deploying and evaluating language models
- MLOps: monitoring, cost and reliability
- AI governance, risk and regulation
Certifications to aim for at the end
- Entry levelAWS Certified AI Practitioner (AIF-C01)AWS
- IntermediateAIGP: Artificial Intelligence Governance ProfessionalIAPP
- IntermediatePECB Certified ISO/IEC 42001 Lead ImplementerPECB
- AdvancedAWS Certified Generative AI Developer - Professional (AIP-C01)AWS
These certifications are issued by their own bodies, not by Nangmo, and their exams are paid for with them. Checked on 3 November 2026: confirm the language, price and exam location on their site before registering. These exams are generally taken without AI: you will need to read and reason on your own.
How to start a career in this field
- 1Build a technical base: being able to deploy a model yourself makes your advice credible.
- 2Support a small organisation on a real case, and measure the result.
- 3Take AIF-C01, then AIGP for governance.
- 4Join a consultancy or a large company's data team. This job often comes after a few years in data or consulting.
First jobs to aim for
- Junior AI consultant
- AI project manager
- Junior MLOps engineer
The workshop is open, but this path's lessons are not online yet. Tell us you are interested: it helps us decide which to write first.