Does your organisation understand AI well enough to use it wisely?
Artificial intelligence and machine learning
Three levels, from board-level fluency through applied generative AI to full machine learning engineering on the major clouds.
What this covers
Demand here splits into three very different audiences, so the track does too. Foundational courses give non-technical staff and decision makers enough literacy to judge a proposal and to understand what they are agreeing to, including the governance and compliance side. Specialised generative AI courses cover working with large language models in practice. The engineering certifications are for developers and data engineers building and deploying models on AWS, Azure or Google Cloud.
We would rather start people at the right level than sell the most advanced course. A management team usually needs the first group; only the engineers who will actually ship a model need the third.
What’s included
- Technical: SUSE Certified Deployment Specialist in SUSE AI
- Technical: Google Cloud Professional Machine Learning Engineer
- Technical: AWS Certified Machine Learning Engineer Associate
- Technical: Azure AI Engineer Associate
- Generative AI: NVIDIA Certified Associate, Generative AI with LLMs
- Generative AI: DataCamp Associate AI Engineer for Developers
- Foundational: Google AI Essentials
- Foundational: AWS Certified AI Practitioner
- Foundational: IAPP Certified AI Governance Professional (AIGP)
Certifications covered
Sound familiar?
Send us the team, the level they are at and the certification you are aiming for, and we will come back with a proposed schedule.