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The DYAP AI Library

200 topics. A clear path.
Your AI journey, organised.

44 published lessons and guides; 156 curriculum outlines. Foundations and Learning & Teaching each contain 20 developed lessons, with worked examples, practice and explained answers. Other published guides cover prompting, security and career planning.

Reading estimates exclude activities. Allow additional time to complete the practice and check your answers.

AI FoundationsPrompting & ProductivityData Science with AIAI Security & PrivacyResponsible AI & EthicsAI for BusinessBuilding AI SolutionsAI Automation & AgentsAI for Learning & TeachingAI Career & Leadership
01

20 of 20 lessons published

AI Foundations

Build a clear mental model of AI, machine learning, modern systems and their real-world uses.
  1. 001What Artificial Intelligence Really MeansPublished lesson4 min read→
  2. 002AI, Machine Learning and Deep LearningPublished lesson4 min read→
  3. 003A Short History of Artificial IntelligencePublished lesson4 min read→
  4. 004How Machines Learn from DataPublished lesson4 min read→
  5. 005Supervised Learning FundamentalsPublished lesson4 min read→
  6. 006Unsupervised Learning FundamentalsPublished lesson4 min read→
  7. 007Reinforcement Learning FundamentalsPublished lesson4 min read→
  8. 008Neural Networks in Plain LanguagePublished lesson4 min read→
  9. 009Training, Validation and Testing DataPublished lesson4 min read→
  10. 010Features, Labels and ModelsPublished lesson4 min read→
  11. 011Classification and RegressionPublished lesson4 min read→
  12. 012Generative AI FundamentalsPublished lesson4 min read→
  13. 013Large Language Models ExplainedPublished lesson4 min read→
  14. 014Tokens, Context and EmbeddingsPublished lesson4 min read→
  15. 015Transformers and AttentionPublished lesson4 min read→
  16. 016Multimodal AI SystemsPublished lesson4 min read→
  17. 017AI Agents and Tool UsePublished lesson4 min read→
  18. 018Cloud, Edge and On-Device AIPublished lesson4 min read→
  19. 019Evaluating AI System QualityPublished lesson4 min read→
  20. 020The Complete AI Project LifecyclePublished lesson4 min read→
02

2 of 20 lessons published

Prompting & Productivity

Learn reliable prompting methods for research, writing, analysis, planning and everyday professional work.
  1. 021The Anatomy of an Effective PromptOutlinePreview→
  2. 022Role, Task, Context and FormatOutlinePreview→
  3. 023Writing Clear AI InstructionsOutlinePreview→
  4. 024Zero-Shot, One-Shot and Few-Shot PromptingOutlinePreview→
  5. 025Step-by-Step Reasoning StrategiesOutlinePreview→
  6. 026Prompt Chaining for Complex WorkOutlinePreview→
  7. 027Using Examples and CounterexamplesOutlinePreview→
  8. 028Controlling Tone, Length and AudienceOutlinePreview→
  9. 029How to Improve an AI Answer: Critique, Revise and VerifyPublished lesson3 min read→
  10. 030Reducing Hallucinations with GroundingOutlinePreview→
  11. 031Research Prompts and Source VerificationOutlinePreview→
  12. 032Summarising Long DocumentsOutlinePreview→
  13. 033AI-Assisted Professional WritingOutlinePreview→
  14. 034AI for Brainstorming and CreativityOutlinePreview→
  15. 035AI for Meetings and Action PlansOutlinePreview→
  16. 036AI Prompts for Teachers: Six Practical TemplatesPublished lesson3 min read→
  17. 037AI for Spreadsheets and Data TasksOutlinePreview→
  18. 038Building Reusable Prompt TemplatesOutlinePreview→
  19. 039Creating a Personal Prompt LibraryOutlinePreview→
  20. 040A Responsible AI Productivity WorkflowOutlinePreview→
03

0 of 20 lessons published

Data Science with AI

Explore data preparation, statistics, modelling, visualisation and AI-assisted analytical workflows.
  1. 041The Data Science WorkflowOutlinePreview→
  2. 042Data Types and Data QualityOutlinePreview→
  3. 043Collecting Data ResponsiblyOutlinePreview→
  4. 044Cleaning Missing and Duplicate DataOutlinePreview→
  5. 045Exploratory Data AnalysisOutlinePreview→
  6. 046Descriptive Statistics for DecisionsOutlinePreview→
  7. 047Probability for AI PractitionersOutlinePreview→
  8. 048Correlation, Causation and ConfoundingOutlinePreview→
  9. 049Data Visualisation PrinciplesOutlinePreview→
  10. 050Feature Engineering FundamentalsOutlinePreview→
  11. 051Choosing a Machine Learning ModelOutlinePreview→
  12. 052Linear and Logistic RegressionOutlinePreview→
  13. 053Decision Trees and Random ForestsOutlinePreview→
  14. 054Clustering and SegmentationOutlinePreview→
  15. 055Time-Series ForecastingOutlinePreview→
  16. 056Natural Language Data AnalysisOutlinePreview→
  17. 057Model Metrics and Confusion MatricesOutlinePreview→
  18. 058Overfitting, Underfitting and RegularisationOutlinePreview→
  19. 059Explaining Model PredictionsOutlinePreview→
  20. 060Communicating Data InsightsOutlinePreview→
04

1 of 20 lessons published

AI Security & Privacy

Understand threats to AI systems and use AI safely in cybersecurity, privacy and risk management.
  1. 061AI Security Basics for Teachers and ProfessionalsPublished lesson3 min read→
  2. 062Threat Modelling for AI SystemsOutlinePreview→
  3. 063Protecting Sensitive Prompts and DataOutlinePreview→
  4. 064Prompt Injection AttacksOutlinePreview→
  5. 065Jailbreaks and Guardrail BypassOutlinePreview→
  6. 066Data Poisoning and Training AttacksOutlinePreview→
  7. 067Adversarial ExamplesOutlinePreview→
  8. 068Model Theft and ExtractionOutlinePreview→
  9. 069Membership Inference and Data LeakageOutlinePreview→
  10. 070Securing AI APIsOutlinePreview→
  11. 071Identity and Access for AI ToolsOutlinePreview→
  12. 072AI Supply-Chain SecurityOutlinePreview→
  13. 073Monitoring AI Systems for AbuseOutlinePreview→
  14. 074Deepfakes and Synthetic Media ThreatsOutlinePreview→
  15. 075AI for Phishing DetectionOutlinePreview→
  16. 076AI for Malware and Anomaly DetectionOutlinePreview→
  17. 077Privacy-Preserving Machine LearningOutlinePreview→
  18. 078Secure AI Deployment ChecklistOutlinePreview→
  19. 079Incident Response for AI SystemsOutlinePreview→
  20. 080Building an AI Security ProgrammeOutlinePreview→
05

0 of 20 lessons published

Responsible AI & Ethics

Learn fairness, transparency, accountability, governance and human-centred AI practices.
  1. 081Why Responsible AI MattersOutlinePreview→
  2. 082Human Values in AI DesignOutlinePreview→
  3. 083Bias in Data and AlgorithmsOutlinePreview→
  4. 084Measuring and Reducing UnfairnessOutlinePreview→
  5. 085Transparency and ExplainabilityOutlinePreview→
  6. 086Accountability for AI DecisionsOutlinePreview→
  7. 087Human Oversight and Meaningful ControlOutlinePreview→
  8. 088Consent, Privacy and Data RightsOutlinePreview→
  9. 089Accessibility and Inclusive AIOutlinePreview→
  10. 090Copyright and Generative AIOutlinePreview→
  11. 091Misinformation and Synthetic ContentOutlinePreview→
  12. 092Environmental Costs of AIOutlinePreview→
  13. 093High-Risk AI Use CasesOutlinePreview→
  14. 094Responsible AI in EducationOutlinePreview→
  15. 095Responsible AI in HealthcareOutlinePreview→
  16. 096Responsible AI in HiringOutlinePreview→
  17. 097AI Governance Roles and ResponsibilitiesOutlinePreview→
  18. 098Writing an Acceptable-Use PolicyOutlinePreview→
  19. 099Conducting an AI Impact AssessmentOutlinePreview→
  20. 100Creating a Responsible AI CultureOutlinePreview→
06

0 of 20 lessons published

AI for Business

Find valuable use cases, redesign workflows and measure AI outcomes without chasing hype.
  1. 101Finding the Right AI OpportunityOutlinePreview→
  2. 102Problem First, Technology SecondOutlinePreview→
  3. 103Mapping an AI-Enabled WorkflowOutlinePreview→
  4. 104Build, Buy or PartnerOutlinePreview→
  5. 105Estimating AI Costs and BenefitsOutlinePreview→
  6. 106Writing an AI Business CaseOutlinePreview→
  7. 107Selecting AI VendorsOutlinePreview→
  8. 108Running an AI PilotOutlinePreview→
  9. 109Defining Success MetricsOutlinePreview→
  10. 110AI for Customer ServiceOutlinePreview→
  11. 111AI for Marketing and SalesOutlinePreview→
  12. 112AI for Finance and OperationsOutlinePreview→
  13. 113AI for Human ResourcesOutlinePreview→
  14. 114AI for Knowledge ManagementOutlinePreview→
  15. 115AI for Small BusinessesOutlinePreview→
  16. 116Managing Organisational ChangeOutlinePreview→
  17. 117Training an AI-Ready WorkforceOutlinePreview→
  18. 118Scaling from Pilot to ProductionOutlinePreview→
  19. 119Measuring Return on AI InvestmentOutlinePreview→
  20. 120Creating an Enterprise AI RoadmapOutlinePreview→
07

0 of 20 lessons published

Building AI Solutions

Learn the practical architecture, evaluation and delivery choices behind useful AI applications.
  1. 121From AI Idea to Working PrototypeOutlinePreview→
  2. 122Designing an AI User ExperienceOutlinePreview→
  3. 123Choosing a Model and ProviderOutlinePreview→
  4. 124Working with AI APIsOutlinePreview→
  5. 125Structured Outputs and JSONOutlinePreview→
  6. 126Embeddings and Semantic SearchOutlinePreview→
  7. 127Retrieval-Augmented GenerationOutlinePreview→
  8. 128Vector Databases ExplainedOutlinePreview→
  9. 129Chunking and Document PreparationOutlinePreview→
  10. 130Designing AI System PromptsOutlinePreview→
  11. 131Function Calling and Tool UseOutlinePreview→
  12. 132Building Reliable AI AgentsOutlinePreview→
  13. 133Memory and State in AI ApplicationsOutlinePreview→
  14. 134Testing Generative AI ApplicationsOutlinePreview→
  15. 135Evaluating Retrieval QualityOutlinePreview→
  16. 136Managing Latency and CostOutlinePreview→
  17. 137Logging and ObservabilityOutlinePreview→
  18. 138Human Review and EscalationOutlinePreview→
  19. 139Deploying an AI ApplicationOutlinePreview→
  20. 140Maintaining AI Products Over TimeOutlinePreview→
08

0 of 20 lessons published

AI Automation & Agents

Automate repeatable work with agents while keeping control, verification and safety in the loop.
  1. 141Automation, Copilots and AgentsOutlinePreview→
  2. 142Identifying Tasks Worth AutomatingOutlinePreview→
  3. 143Breaking Work into Agent StepsOutlinePreview→
  4. 144Triggers, Actions and ConditionsOutlinePreview→
  5. 145Connecting AI to Business ToolsOutlinePreview→
  6. 146Document Processing WorkflowsOutlinePreview→
  7. 147Email and Communication WorkflowsOutlinePreview→
  8. 148Research and Monitoring AgentsOutlinePreview→
  9. 149Data Extraction and ClassificationOutlinePreview→
  10. 150Agent Planning and Task DecompositionOutlinePreview→
  11. 151Single-Agent vs Multi-Agent SystemsOutlinePreview→
  12. 152Approval Gates and Human ControlOutlinePreview→
  13. 153Handling Errors and RetriesOutlinePreview→
  14. 154Preventing Runaway Agent ActionsOutlinePreview→
  15. 155Managing Agent PermissionsOutlinePreview→
  16. 156Testing Automated WorkflowsOutlinePreview→
  17. 157Measuring Automation QualityOutlinePreview→
  18. 158Documenting AI AutomationsOutlinePreview→
  19. 159Operating Agents in ProductionOutlinePreview→
  20. 160Designing Your First Safe AI AgentOutlinePreview→
09

20 of 20 lessons published

AI for Learning & Teaching

Use AI to plan, teach, practise and assess while protecting learning quality and academic integrity.
  1. 161AI Literacy: Make, Check and Explain an AI-Assisted AnswerPublished lesson5 min read→
  2. 162Set Learning Goals That an AI-Assisted Lesson Can Actually AssessPublished lesson6 min read→
  3. 163Build a Study Plan with AI That Changes When Evidence ChangesPublished lesson6 min read→
  4. 164Use AI as a Questioning Tutor Without Giving Away the ThinkingPublished lesson6 min read→
  5. 165Use AI-Generated Analogies Without Teaching the Wrong IdeaPublished lesson6 min read→
  6. 166How to Create Practice Questions with AI—and Check the AnswersPublished lesson6 min read→
  7. 167Draft Formative Feedback That Leads to a Useful RevisionPublished lesson6 min read→
  8. 168How to Use ChatGPT to Prepare a Lesson PlanPublished lesson5 min read→
  9. 169Use AI to Make Learning Materials More AccessiblePublished lesson5 min read→
  10. 170Build an AI-Assisted Rubric with Observable CriteriaPublished lesson5 min read→
  11. 171Make AI Use Transparent Without Guessing AuthorshipPublished lesson5 min read→
  12. 172How to Check AI Answers and Fake ReferencesPublished lesson5 min read→
  13. 173Design Assessments That Reveal Learning in the AI EraPublished lesson5 min read→
  14. 174Use AI to Offer Support Without Lowering the Learning GoalPublished lesson5 min read→
  15. 175Create Educational Visuals with AI and Check What They TeachPublished lesson5 min read→
  16. 176Use AI to Develop Research Questions and Verify SourcesPublished lesson5 min read→
  17. 177Build a Literature Review from Verified EvidencePublished lesson4 min read→
  18. 178Document and Cite AI Assistance TransparentlyPublished lesson5 min read→
  19. 179Draft Practical Institutional AI GuidelinesPublished lesson5 min read→
  20. 180Design an AI-Enhanced Course Around Evidence of LearningPublished lesson5 min read→
10

1 of 20 lessons published

AI Career & Leadership

Build durable skills, demonstrate capability and lead thoughtful AI adoption in your profession.
  1. 181Understanding the AI Job LandscapeOutlinePreview→
  2. 182Skills That Become More Valuable with AIOutlinePreview→
  3. 183Choosing Your AI Career DirectionOutlinePreview→
  4. 184A Four-Week AI Learning Plan for BeginnersPublished lesson3 min read→
  5. 185Creating an AI Project PortfolioOutlinePreview→
  6. 186Writing an AI-Focused CVOutlinePreview→
  7. 187Demonstrating AI Skills in InterviewsOutlinePreview→
  8. 188AI Roles Without Heavy CodingOutlinePreview→
  9. 189Careers in Machine Learning EngineeringOutlinePreview→
  10. 190Careers in AI Product ManagementOutlinePreview→
  11. 191Careers in AI Governance and SafetyOutlinePreview→
  12. 192Careers in AI SecurityOutlinePreview→
  13. 193Freelancing and Consulting with AIOutlinePreview→
  14. 194Building Professional CredibilityOutlinePreview→
  15. 195Leading an AI ConversationOutlinePreview→
  16. 196Managing AI TeamsOutlinePreview→
  17. 197Making Decisions Under AI UncertaintyOutlinePreview→
  18. 198Communicating AI to Senior LeadersOutlinePreview→
  19. 199Continuous Learning in a Fast FieldOutlinePreview→
  20. 200Your 90-Day AI Development PlanOutlinePreview→