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The DYAP AI Library

200 practical lessons.
Your AI journey, organised.

The 20-lesson AI Foundations track is now available in full learning format with visual guides, activities, quizzes and trusted industry links. Additional tracks are clearly marked as learning outlines while they are expanded.

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

Complete learning track

AI Foundations

Build a clear mental model of AI, machine learning, modern systems and their real-world uses.
  1. 001What Artificial Intelligence Really MeansFull lesson15–20 min→
  2. 002AI, Machine Learning and Deep LearningFull lesson15–20 min→
  3. 003A Short History of Artificial IntelligenceFull lesson15–20 min→
  4. 004How Machines Learn from DataFull lesson15–20 min→
  5. 005Supervised Learning FundamentalsFull lesson15–20 min→
  6. 006Unsupervised Learning FundamentalsFull lesson15–20 min→
  7. 007Reinforcement Learning FundamentalsFull lesson15–20 min→
  8. 008Neural Networks in Plain LanguageFull lesson15–20 min→
  9. 009Training, Validation and Testing DataFull lesson15–20 min→
  10. 010Features, Labels and ModelsFull lesson15–20 min→
  11. 011Classification and RegressionFull lesson15–20 min→
  12. 012Generative AI FundamentalsFull lesson15–20 min→
  13. 013Large Language Models ExplainedFull lesson15–20 min→
  14. 014Tokens, Context and EmbeddingsFull lesson15–20 min→
  15. 015Transformers and AttentionFull lesson15–20 min→
  16. 016Multimodal AI SystemsFull lesson15–20 min→
  17. 017AI Agents and Tool UseFull lesson15–20 min→
  18. 018Cloud, Edge and On-Device AIFull lesson15–20 min→
  19. 019Evaluating AI System QualityFull lesson15–20 min→
  20. 020The Complete AI Project LifecycleFull lesson15–20 min→
02

Work smarter with AI

Prompting & Productivity

Learn reliable prompting methods for research, writing, analysis, planning and everyday professional work.
  1. 021The Anatomy of an Effective PromptOutline5 min→
  2. 022Role, Task, Context and FormatOutline5 min→
  3. 023Writing Clear AI InstructionsOutline5 min→
  4. 024Zero-Shot, One-Shot and Few-Shot PromptingOutline5 min→
  5. 025Step-by-Step Reasoning StrategiesOutline5 min→
  6. 026Prompt Chaining for Complex WorkOutline5 min→
  7. 027Using Examples and CounterexamplesOutline5 min→
  8. 028Controlling Tone, Length and AudienceOutline5 min→
  9. 029Asking AI to Critique Its OutputOutline5 min→
  10. 030Reducing Hallucinations with GroundingOutline5 min→
  11. 031Research Prompts and Source VerificationOutline5 min→
  12. 032Summarising Long DocumentsOutline5 min→
  13. 033AI-Assisted Professional WritingOutline5 min→
  14. 034AI for Brainstorming and CreativityOutline5 min→
  15. 035AI for Meetings and Action PlansOutline5 min→
  16. 036AI for Presentations and TeachingOutline5 min→
  17. 037AI for Spreadsheets and Data TasksOutline5 min→
  18. 038Building Reusable Prompt TemplatesOutline5 min→
  19. 039Creating a Personal Prompt LibraryOutline5 min→
  20. 040A Responsible AI Productivity WorkflowOutline5 min→
03

Turn data into insight

Data Science with AI

Explore data preparation, statistics, modelling, visualisation and AI-assisted analytical workflows.
  1. 041The Data Science WorkflowOutline5 min→
  2. 042Data Types and Data QualityOutline5 min→
  3. 043Collecting Data ResponsiblyOutline5 min→
  4. 044Cleaning Missing and Duplicate DataOutline5 min→
  5. 045Exploratory Data AnalysisOutline5 min→
  6. 046Descriptive Statistics for DecisionsOutline5 min→
  7. 047Probability for AI PractitionersOutline5 min→
  8. 048Correlation, Causation and ConfoundingOutline5 min→
  9. 049Data Visualisation PrinciplesOutline5 min→
  10. 050Feature Engineering FundamentalsOutline5 min→
  11. 051Choosing a Machine Learning ModelOutline5 min→
  12. 052Linear and Logistic RegressionOutline5 min→
  13. 053Decision Trees and Random ForestsOutline5 min→
  14. 054Clustering and SegmentationOutline5 min→
  15. 055Time-Series ForecastingOutline5 min→
  16. 056Natural Language Data AnalysisOutline5 min→
  17. 057Model Metrics and Confusion MatricesOutline5 min→
  18. 058Overfitting, Underfitting and RegularisationOutline5 min→
  19. 059Explaining Model PredictionsOutline5 min→
  20. 060Communicating Data InsightsOutline5 min→
04

Protect intelligent systems

AI Security & Privacy

Understand threats to AI systems and use AI safely in cybersecurity, privacy and risk management.
  1. 061The AI Security LandscapeOutline5 min→
  2. 062Threat Modelling for AI SystemsOutline5 min→
  3. 063Protecting Sensitive Prompts and DataOutline5 min→
  4. 064Prompt Injection AttacksOutline5 min→
  5. 065Jailbreaks and Guardrail BypassOutline5 min→
  6. 066Data Poisoning and Training AttacksOutline5 min→
  7. 067Adversarial ExamplesOutline5 min→
  8. 068Model Theft and ExtractionOutline5 min→
  9. 069Membership Inference and Data LeakageOutline5 min→
  10. 070Securing AI APIsOutline5 min→
  11. 071Identity and Access for AI ToolsOutline5 min→
  12. 072AI Supply-Chain SecurityOutline5 min→
  13. 073Monitoring AI Systems for AbuseOutline5 min→
  14. 074Deepfakes and Synthetic Media ThreatsOutline5 min→
  15. 075AI for Phishing DetectionOutline5 min→
  16. 076AI for Malware and Anomaly DetectionOutline5 min→
  17. 077Privacy-Preserving Machine LearningOutline5 min→
  18. 078Secure AI Deployment ChecklistOutline5 min→
  19. 079Incident Response for AI SystemsOutline5 min→
  20. 080Building an AI Security ProgrammeOutline5 min→
05

Build AI people can trust

Responsible AI & Ethics

Learn fairness, transparency, accountability, governance and human-centred AI practices.
  1. 081Why Responsible AI MattersOutline5 min→
  2. 082Human Values in AI DesignOutline5 min→
  3. 083Bias in Data and AlgorithmsOutline5 min→
  4. 084Measuring and Reducing UnfairnessOutline5 min→
  5. 085Transparency and ExplainabilityOutline5 min→
  6. 086Accountability for AI DecisionsOutline5 min→
  7. 087Human Oversight and Meaningful ControlOutline5 min→
  8. 088Consent, Privacy and Data RightsOutline5 min→
  9. 089Accessibility and Inclusive AIOutline5 min→
  10. 090Copyright and Generative AIOutline5 min→
  11. 091Misinformation and Synthetic ContentOutline5 min→
  12. 092Environmental Costs of AIOutline5 min→
  13. 093High-Risk AI Use CasesOutline5 min→
  14. 094Responsible AI in EducationOutline5 min→
  15. 095Responsible AI in HealthcareOutline5 min→
  16. 096Responsible AI in HiringOutline5 min→
  17. 097AI Governance Roles and ResponsibilitiesOutline5 min→
  18. 098Writing an Acceptable-Use PolicyOutline5 min→
  19. 099Conducting an AI Impact AssessmentOutline5 min→
  20. 100Creating a Responsible AI CultureOutline5 min→
06

Create measurable value

AI for Business

Find valuable use cases, redesign workflows and measure AI outcomes without chasing hype.
  1. 101Finding the Right AI OpportunityOutline5 min→
  2. 102Problem First, Technology SecondOutline5 min→
  3. 103Mapping an AI-Enabled WorkflowOutline5 min→
  4. 104Build, Buy or PartnerOutline5 min→
  5. 105Estimating AI Costs and BenefitsOutline5 min→
  6. 106Writing an AI Business CaseOutline5 min→
  7. 107Selecting AI VendorsOutline5 min→
  8. 108Running an AI PilotOutline5 min→
  9. 109Defining Success MetricsOutline5 min→
  10. 110AI for Customer ServiceOutline5 min→
  11. 111AI for Marketing and SalesOutline5 min→
  12. 112AI for Finance and OperationsOutline5 min→
  13. 113AI for Human ResourcesOutline5 min→
  14. 114AI for Knowledge ManagementOutline5 min→
  15. 115AI for Small BusinessesOutline5 min→
  16. 116Managing Organisational ChangeOutline5 min→
  17. 117Training an AI-Ready WorkforceOutline5 min→
  18. 118Scaling from Pilot to ProductionOutline5 min→
  19. 119Measuring Return on AI InvestmentOutline5 min→
  20. 120Creating an Enterprise AI RoadmapOutline5 min→
07

Move from idea to product

Building AI Solutions

Learn the practical architecture, evaluation and delivery choices behind useful AI applications.
  1. 121From AI Idea to Working PrototypeOutline5 min→
  2. 122Designing an AI User ExperienceOutline5 min→
  3. 123Choosing a Model and ProviderOutline5 min→
  4. 124Working with AI APIsOutline5 min→
  5. 125Structured Outputs and JSONOutline5 min→
  6. 126Embeddings and Semantic SearchOutline5 min→
  7. 127Retrieval-Augmented GenerationOutline5 min→
  8. 128Vector Databases ExplainedOutline5 min→
  9. 129Chunking and Document PreparationOutline5 min→
  10. 130Designing AI System PromptsOutline5 min→
  11. 131Function Calling and Tool UseOutline5 min→
  12. 132Building Reliable AI AgentsOutline5 min→
  13. 133Memory and State in AI ApplicationsOutline5 min→
  14. 134Testing Generative AI ApplicationsOutline5 min→
  15. 135Evaluating Retrieval QualityOutline5 min→
  16. 136Managing Latency and CostOutline5 min→
  17. 137Logging and ObservabilityOutline5 min→
  18. 138Human Review and EscalationOutline5 min→
  19. 139Deploying an AI ApplicationOutline5 min→
  20. 140Maintaining AI Products Over TimeOutline5 min→
08

Design dependable workflows

AI Automation & Agents

Automate repeatable work with agents while keeping control, verification and safety in the loop.
  1. 141Automation, Copilots and AgentsOutline5 min→
  2. 142Identifying Tasks Worth AutomatingOutline5 min→
  3. 143Breaking Work into Agent StepsOutline5 min→
  4. 144Triggers, Actions and ConditionsOutline5 min→
  5. 145Connecting AI to Business ToolsOutline5 min→
  6. 146Document Processing WorkflowsOutline5 min→
  7. 147Email and Communication WorkflowsOutline5 min→
  8. 148Research and Monitoring AgentsOutline5 min→
  9. 149Data Extraction and ClassificationOutline5 min→
  10. 150Agent Planning and Task DecompositionOutline5 min→
  11. 151Single-Agent vs Multi-Agent SystemsOutline5 min→
  12. 152Approval Gates and Human ControlOutline5 min→
  13. 153Handling Errors and RetriesOutline5 min→
  14. 154Preventing Runaway Agent ActionsOutline5 min→
  15. 155Managing Agent PermissionsOutline5 min→
  16. 156Testing Automated WorkflowsOutline5 min→
  17. 157Measuring Automation QualityOutline5 min→
  18. 158Documenting AI AutomationsOutline5 min→
  19. 159Operating Agents in ProductionOutline5 min→
  20. 160Designing Your First Safe AI AgentOutline5 min→
09

Improve education responsibly

AI for Learning & Teaching

Use AI to plan, teach, practise and assess while protecting learning quality and academic integrity.
  1. 161AI Literacy for Every LearnerOutline5 min→
  2. 162Setting Learning Goals with AIOutline5 min→
  3. 163Creating Personalised Study PlansOutline5 min→
  4. 164AI as a Socratic TutorOutline5 min→
  5. 165Learning Difficult Concepts with AnalogiesOutline5 min→
  6. 166Generating Practice QuestionsOutline5 min→
  7. 167Using AI for Formative FeedbackOutline5 min→
  8. 168Lesson Planning with AIOutline5 min→
  9. 169Creating Inclusive Learning MaterialsOutline5 min→
  10. 170AI for Rubrics and Assessment DesignOutline5 min→
  11. 171Academic Integrity in the AI EraOutline5 min→
  12. 172Teaching Students to Verify AIOutline5 min→
  13. 173AI-Resistant Assessment DesignOutline5 min→
  14. 174Supporting Different Learning NeedsOutline5 min→
  15. 175Creating Educational VisualsOutline5 min→
  16. 176AI for Research SkillsOutline5 min→
  17. 177AI for Literature ReviewsOutline5 min→
  18. 178Citing AI Use TransparentlyOutline5 min→
  19. 179Institutional AI GuidelinesOutline5 min→
  20. 180Designing an AI-Enhanced CourseOutline5 min→
10

Stay valuable in an AI world

AI Career & Leadership

Build durable skills, demonstrate capability and lead thoughtful AI adoption in your profession.
  1. 181Understanding the AI Job LandscapeOutline5 min→
  2. 182Skills That Become More Valuable with AIOutline5 min→
  3. 183Choosing Your AI Career DirectionOutline5 min→
  4. 184Building an AI Learning PlanOutline5 min→
  5. 185Creating an AI Project PortfolioOutline5 min→
  6. 186Writing an AI-Focused CVOutline5 min→
  7. 187Demonstrating AI Skills in InterviewsOutline5 min→
  8. 188AI Roles Without Heavy CodingOutline5 min→
  9. 189Careers in Machine Learning EngineeringOutline5 min→
  10. 190Careers in AI Product ManagementOutline5 min→
  11. 191Careers in AI Governance and SafetyOutline5 min→
  12. 192Careers in AI SecurityOutline5 min→
  13. 193Freelancing and Consulting with AIOutline5 min→
  14. 194Building Professional CredibilityOutline5 min→
  15. 195Leading an AI ConversationOutline5 min→
  16. 196Managing AI TeamsOutline5 min→
  17. 197Making Decisions Under AI UncertaintyOutline5 min→
  18. 198Communicating AI to Senior LeadersOutline5 min→
  19. 199Continuous Learning in a Fast FieldOutline5 min→
  20. 200Your 90-Day AI Development PlanOutline5 min→