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  <description>Free AI course downloads. Workbooks by Mickarle Wagstaff-Irons - Micky Irons, published by Mickai LTD.</description>
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    <title>Running open-weight AI models on your own computer, for free</title>
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    <description>A practical, hands-on guide to running open-weight AI models on your own computer at no subscription cost, using Ollama, LM Studio or llama.cpp, with honest guidance on hardware limits and quantisation.</description>
    <category>Level 2: Getting going</category>
    <pubDate>Tue, 29 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Code for as little as possible: VS Code, OpenCode and app builders</title>
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    <description>Work out what AI-assisted coding really costs and keep it low: how tools charge, a token cost calculator, free editors, OpenCode, local models and paid app builders.</description>
    <category>Level 2: Getting going</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Design a repeatable evaluation suite for an AI application</title>
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    <description>Build an offline AI evaluation harness with test cases, a rubric, regression comparisons, uncertainty checks and a reproducible release record.</description>
    <category>Level 3: Building</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Document pipelines: parsing, cleaning and chunking</title>
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    <description>Build a local document pipeline: clean UTF-8 text, create traceable chunks, test boundaries and measure which evidence survives together.</description>
    <category>Level 3: Building</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Tokenisation: train and inspect a small tokenizer</title>
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    <description>Train a byte-pair encoding tokeniser in plain Python, prove the round trip is lossless, and see how vocabulary size, languages, numbers and spaces change token counts.</description>
    <category>Level 3: Building</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Test-driven development with an AI coding assistant</title>
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    <description>Use failing examples to guide an AI coding assistant, test boundary cases, catch deliberate defects and hand over a small Python change with clear evidence.</description>
    <category>Level 3: Building</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Node.js: build and test a small API</title>
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    <description>Build a local read-only HTTP API with Node.js: explicit routes, strict query validation, predictable errors and executable tests using built-in modules.</description>
    <category>Level 3: Building</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Go: build a concurrent service</title>
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    <description>Build a standard-library Go HTTP service with bounded workers, ordered results, input limits, cancellation and executable tests.</description>
    <category>Level 3: Building</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>TypeScript: types for safer web applications</title>
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    <description>Build a typed reading-list boundary with runtime validation, explicit display states, compiler checks and executable tests.</description>
    <category>Level 3: Building</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Testing agent loops: budgets, termination and failure recovery</title>
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    <description>Test an agent loop locally: enforce budgets, replay model decisions, reject late results and verify bounded retries without paying for model calls.</description>
    <category>Level 3: Building</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Hybrid search and reranking for better retrieval</title>
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    <description>Implement reciprocal rank fusion, validate a reranking boundary and compare query-level retrieval results using a small reproducible Python lab.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Throughput, latency and batching: capacity planning for a model server</title>
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    <description>Build a tested batch queue simulator, compare burst and sparse arrivals, calculate timing metrics and design a measured model-server experiment.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Transformers: attention explained and implemented</title>
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    <description>Implement scaled attention, test causal visibility and assemble a small forward-only transformer block using standard-library Python.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Build a tiny language model from scratch</title>
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    <description>Train an original character-bigram language model with explicit gradients, held-out evaluation, bounded sampling and a reusable JSON checkpoint using standard-library Python.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Evaluate a RAG system with a grounded test set</title>
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    <description>Build a reproducible RAG evaluation fixture, score retrieval separately from claim support and completeness, and detect regressions hidden by a single headline number.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Model routing, caching and graceful fallbacks</title>
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    <description>Build a scoped response cache and bounded model router, test expiry and failure boundaries, and compare cost, latency and answer quality on a replayable trace.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Permission-aware retrieval and private knowledge bases</title>
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    <description>Build and test a small retrieval policy that separates tenants, checks document groups before ranking and refuses missing permission matches.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Rust: ownership, safety and a small command-line tool</title>
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    <description>Build a standard-library Rust command that reads bounded fictional token counts, validates records and reports totals, with ownership examples and executable tests.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Harness state and agent memory: checkpoints, retention and deletion</title>
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    <description>Build a small SQLite state store with versioned checkpoints, inspectable facts, expiry, tenant-scoped deletion and tested recovery using standard-library Python.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Knowledge graphs and structured retrieval</title>
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    <description>Build a small directed knowledge graph in Python, retrieve bounded evidence paths and test direction, cycles, missing facts and source traceability.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Threat-model an agent and its tool boundary</title>
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    <description>Map an agent tool boundary and test a local gateway for identity, ownership, exact-action approval, expiry, replay and stale writes using fictional notes.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Orchestrating multiple agents with explicit responsibilities</title>
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    <description>Build a tested Python coordinator with scripted research, draft and review roles, checked handoffs, dependency failures, bounded retries and a shared call budget.</description>
    <category>Level 4: Frontier</category>
    <pubDate>Sun, 27 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Stay safe with AI: scams, fake media and your privacy</title>
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    <description>Spot AI-assisted scams and fake media, keep your privacy when using chatbots, know your basic UK data rights and where to report problems, with a simple routine to follow.</description>
    <category>Level 1: Starting out</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Use AI to study, research and write without losing your own thinking</title>
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    <description>Use an AI assistant as a study partner, not an answer machine: quiz yourself, verify every claim and citation, write in your own voice, and say how you used it.</description>
    <category>Level 1: Starting out</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>AI images and video: rights, provenance, labels and quality checks</title>
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    <description>Use AI images and video responsibly: ownership in the UK, EU and US, tool terms, consent, labelling, Content Credentials, quality checks and simple records.</description>
    <category>Level 2: Getting going</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Build your first app with an AI coding assistant</title>
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    <description>Build a small bill-splitting web page with any AI coding assistant while staying in control: brief it, build in steps, review the code, test edge cases and keep safe copies.</description>
    <category>Level 2: Getting going</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Git for AI builders: commits, branches and pull requests</title>
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    <description>Learn Git from your first commit to a reviewed pull request, with safe habits for AI-written code: read every diff, commit small, undo safely and keep secrets out.</description>
    <category>Level 2: Getting going</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>HTML: build a meaningful, accessible page</title>
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    <description>Build a real event page by hand with headings, landmarks, alt text, a data table and a labelled form. Check it with the W3C validator and a keyboard, then review AI-written HTML.</description>
    <category>Level 2: Getting going</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Automate a spreadsheet workflow with AI, checks and an audit trail</title>
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    <description>Clean a messy spreadsheet with AI-suggested formulas without losing control: work on a copy, test every formula, log each change and reconcile the totals.</description>
    <category>Level 2: Getting going</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>CSS: responsive layouts, grids and typography</title>
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    <description>Style a page by hand so it reads well on any screen: box model, cascade, flexbox, grid, fluid type, container queries, dark mode and focus, all measured at three widths.</description>
    <category>Level 2: Getting going</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Python: from first script to a useful automation</title>
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    <description>A complete beginner's route from installing Python to a tested, dry-run-first tool that sorts and reports on a folder, using only what comes with Python.</description>
    <category>Level 2: Getting going</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Embeddings and vector search from first principles</title>
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    <description>Build vector search from scratch: turn text into vectors, compare them three ways, search by brute force, score it with recall@k and MRR, and see where it fails.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Prompt injection: threat analysis and defensive testing</title>
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    <description>Learn why prompt injection happens, analyse the harm it can do, and measure which defences work with a harmless offline Python lab that uses fake canary secrets.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>SQL: model and query your first database</title>
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    <description>A beginner's route through SQL with SQLite: tables, keys and constraints, queries, joins, safe changes, indexes, injection-safe Python and reviewing AI-written SQL.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Tensors, gradients and a first training loop</title>
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    <description>Learn what training is by doing it on a CPU: tensors and shapes, the loss, gradients by hand and by autograd, the training loop, validation and the classic bugs.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Data analysis with Python: investigate and explain a dataset</title>
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    <description>Answer a real question from a messy table with pandas: inspect, clean with a log, group, join, chart, measure uncertainty and check AI-written analysis code.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>JavaScript: the browser, events and application state</title>
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    <description>Add behaviour to the event page with plain JavaScript: the DOM, events and delegation, one state object, form validation, focus, status messages and localStorage.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Privacy and data minimisation in AI applications</title>
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    <description>Keep personal data under control in an AI feature: UK GDPR principles, DPIAs, roles and transfers, and a redaction pipeline you run and test to see what it misses.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Tool calling and structured outputs: validate every response</title>
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    <description>Treat every model reply as untrusted input: write JSON Schema contracts, parse and validate each tool call, retry with feedback, and run tools with limits, dry runs and logs.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Open model licences, datasets and deployment obligations</title>
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    <description>Decide whether you may use, host and redistribute an 'open' model or dataset: licence families, dataset rights, model cards, AI-BOMs, hash checks and a checklist tool.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>AI governance: risk registers, evidence and human accountability</title>
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    <description>Govern an AI system without being an engineer: map hazards, score and evidence them, name owners and stop rights, make oversight real, and check the register with tested code.</description>
    <category>Level 3: Building</category>
    <pubDate>Sat, 26 Sep 2026 09:00:00 +0000</pubDate>
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    <title>What is AI? A plain-English starter</title>
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    <description>A jargon-free introduction to modern AI: how chatbots work, what they are good and bad at, and how to use them safely from day one.</description>
    <category>Level 1: Starting out</category>
    <pubDate>Fri, 25 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Your first prompts: how to ask AI for what you actually want</title>
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    <description>Learn to ask AI for what you actually want: the six parts of a good prompt, how to improve a reply, and how to build a personal prompt library. Free tools only.</description>
    <category>Level 1: Starting out</category>
    <pubDate>Fri, 25 Sep 2026 09:00:00 +0000</pubDate>
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    <title>The free AI toolkit: how to choose tools and stay safe</title>
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    <description>How free AI tools work, how to choose and test them, how to check their current terms and privacy, how to spot fake apps and scams, and how to build your own starter stack.</description>
    <category>Level 1: Starting out</category>
    <pubDate>Fri, 25 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Make YouTube videos with AI: a beginner's workflow</title>
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    <description>A beginner's end-to-end workflow for making YouTube videos with AI: script, voiceover, visuals, captions, upload, YouTube's disclosure rules, analytics and a 30-day plan.</description>
    <category>Level 1: Starting out</category>
    <pubDate>Fri, 25 Sep 2026 09:00:00 +0000</pubDate>
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    <title>Which AI model should I use? Picking the right AI for the job</title>
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