Technical Curriculum
Expand your technical skills with courses leading to certificates in different AI fields.
Some information about the learning material found on this page:
- the learning material is suitable for Government Digital and Data professionals, or those with a technical interest
- there is no need to complete all learning material; choose what is relevant to you
- all learning material is free, but may require the creation of a free account to access
- some learning material contains practical exercises requiring a licence; exercises can be skipped if necessary
Learning Outcomes
Based on the learning material you choose, you will be able to:
- describe the functionalities of various AI technologies and cloud systems
- identify technical and innovation challenges concerning the implementation of GenAI solutions
- explain how to use AI tools (e.g. Copilot) to write code and facilitate the automated analysis of data
- describe how to train GenAI tools to generate customised outcomes
Learning Material
Foundations of Data Science
Coursera learning path exploring data science foundations, ethical practice, and project workflows to support data-driven decision-making.
No-code Machine Learning and Generative AI on AWS
AWS eLearning for data and business analysts exploring SageMaker Canvas to prepare data, train, and deploy ML models without coding or deep ML knowledge.
Microsoft AI engineer career path
Microsoft learning pathway exploring the skills needed by an AI engineer working with Microsoft.
Generative AI for Developers Learning Pathway
AWS learning plan exploring essential genAI skills through hands-on solution building spanning Amazon Bedrock, Q Developer, and SageMaker technologies.
AWS SimuLearn: Generative AI Practitioner
AWS learning plan exploring essential genAI skills through hands-on solution building spanning Amazon Bedrock, Q Developer, and SageMaker technologies.
Machine Learning Crash course
Google learning pathway exploring core machine learning concepts through hands-on exercises, visualisations, and real-world model applications.
Building Generative AI Applications Using Amazon Bedrock
AWS eLearning discussing building GenAI applications using Amazon Bedrock.
Machine Learning in the Enterprise
Google learning path exploring genAI integration, model deployment, and hands-on labs using BigQuery ML and Vertex AI.
Customizing and Evaluating LLMs Using Amazon SageMaker JumpStart
AWS eLearning exploring how to customise and evaluate LLMs using Amazon SageMaker JumpStart.
GitHub Copilot
Microsoft learning pathway exploring GitHub Copilot and how it helps with coding.
Building Production-Ready AI Agents with Amazon Bedrock AgentCore
AWS eLearning to help master the art of building and deploying production-grade AI agents.
Generative AI Learning Plan for Model Builders
AWS learning plan introducing data scientists and machine learning engineers to building, fine-tuning and deploying small to large language models.
Generative AI Learning Plan for Developers
AWS learning plan introducing genAI to software developers interested in leveraging large language models without fine-tuning.