Design · Human factors
Designing Human–AI Systems
University of Cambridge · Cambridge Advance Online
- Format
- Online · weekly modules
- Time
- 8 weeks
- Access
- Paid
The provider’s curriculum connects human–computer interaction with automation, human agency, risk and governance. Participants develop a design report around their own context.
Who it may suit Designers, product teams and people responsible for human–AI systems.
Why it’s here A route into thinking about the whole chatbot experience: the person, the task, the system and who stays in control.
What the students say:A useful introduction to designing AI systems covering subjects like system autonomy, mixed initiative systems, basics of system evaluation, risk alignment and data modelling. Live lectures are a highlight. Be warned - if you want to understand each area in depth, 6-8 hours of study a week will not suffice.
Visit provider & course detailsGovernance · Risk · Accountability
Artificial Intelligence Governance Professional (AIGP)
IAPP
- Format
- Professional certification · training and exam
- Time
- Preparation time varies
- Access
- Paid exam and training; free study resources
A certification pathway covering responsible AI, governance frameworks and risks across the AI lifecycle. Training and the certification exam are distinct steps; the provider also offers a free body of knowledge and study guide.
Who it may suit Privacy, governance, compliance and responsible AI professionals.
Why it’s here Useful context for people brought into an organisation’s chatbot programme to ask questions about oversight, responsibility and risk.
What the students say:A must-do course for those interested in how AI is governed and what legislation applies per territory. Those with a technical understanding of how AI work will find the first half of the course easy. Those without prior privacy or governance training or experience may find the legislation part complex. Reach out to IAPP if you are self-funding this training - they may be able to offer an attractive package.
Visit provider & course detailsEngineering · Evaluation
AI Evals for Engineers & PMs
Hamel Husain & Shreya Shankar · Maven / Parlance Labs
- Format
- Online cohort · practical exercises
- Time
- Check the current cohort schedule
- Access
- Paid
A practical course on identifying failure modes, analysing outputs and building evaluations that inform product decisions. The provider describes it as a deep dive rather than an introduction to LLMs.
Who it may suit Engineers and product managers already working with AI applications.
Why it’s here Relevant when a conversational product needs a repeatable way to assess changes and understand where it fails.
Visit provider & course detailsAI safety · Strategy · Governance
AGI Strategy
BlueDot Impact
- Format
- Facilitated online cohort · application required
- Time
- About 25 hours · intensive or part-time
- Access
- Free
A discussion-based introduction to advanced AI development, possible outcomes and strategies for influencing them. The course combines readings, written work and small-group discussions.
Who it may suit People exploring how their skills could contribute to AI safety or governance.
Why it’s here Offers a broader strategic perspective alongside the immediate design and safety questions raised by companions and chatbots.
Visit provider & course detailsPsychology · Trust · Persuasion
The Psychology of Human-AI Interaction
University of Aberdeen
- Format
- Online · postgraduate level · 15 credits
- Time
- 10–13 weeks · around 10–15 hours/week
- Access
- Paid
The published syllabus covers psychological theories of trust and persuasion, bias, and methods for investigating AI’s influence on people.
Who it may suit People interested in how AI influences human beliefs, decisions and behaviour.
Why it’s here Directly relevant to understanding relationships with conversational systems and evaluating their effects on users.
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