Learning
How I'm staying sharp, and where to start if you're new to all this.
Anthropic Academy: AI Fluency Track
Core AI concepts, responsible use, and practical Claude workflows. Built with academics, not marketers.
Why I recommend: The best place to start if you want to understand what AI actually is rather than what it is marketed as. Covers the fundamentals clearly and was built with academics, not content creators. Do this before anything else.
Open resource →Anthropic Academy: Nonprofit Track
AI fluency course built specifically for nonprofit and charity professionals.
Why I recommend: Built specifically for people working in charities and nonprofits. If that is your world, this is more directly relevant than the general track. You can also share it with colleagues who are curious but do not know where to begin.
Open resource →Anthropic Academy: Full Course Catalogue
15 free, self-paced courses covering the full Claude ecosystem, all with official completion certificates.
Why I recommend: The full list of everything Anthropic has built for free. 15 courses, all self-paced, all with completion certificates worth adding to LinkedIn. Browse the catalogue and pick what is relevant to where you are right now.
Open resource →Anthropic Academy: Claude Code in Action
Anthropic's own Claude Code course on their Academy platform. Official, structured, free.
Why I recommend: The official course on Claude Code from Anthropic themselves. Do Claude Code for Everyone first, then come here for the authoritative version of how it is meant to be used.
Open resource →Make.com Academy
Official training for Make.com automations, tutorials, courses, and use-case guides.
Why I recommend: Make.com has a real learning curve. The official academy is the fastest way through it. Start here before you try to build anything, even a simple automation. It will save you hours of frustration.
Open resource →ChatGPT Prompt Engineering for Developers
Short course by Isa Fulford (OpenAI) and Andrew Ng. Covers iterative prompting, summarising, inferring, transforming, expanding.
Why I recommend: Worth doing alongside the Anthropic prompting guide because it covers the underlying principles that apply across every AI model, not just Claude. Short, free, and genuinely useful even if you never use ChatGPT.
Open resource →Claude Code for Everyone
Teaches Claude Code from inside Claude Code itself. No videos, no IDE setup. Interactive, beginner-first.
Why I recommend: The most approachable introduction to Claude Code available. It teaches you from inside the tool itself, no videos, no setup, no prior coding knowledge required. Start here if Claude Code feels intimidating.
Open resource →Claude Code: A Highly Agentic Coding Assistant
Official Anthropic partnership course on Claude Code. Taught by Anthropic's Head of Developer Relations.
Why I recommend: The official Anthropic and DeepLearning.AI course on Claude Code. Free and authoritative. Do Claude Code for Everyone first, then come here to go deeper with confidence.
Open resource →Anthropic Prompt Engineering Guide
Official best practices for prompting Claude. The source of truth, updated as Claude improves.
Why I recommend: The source of truth for prompting Claude. More reliable than anything you will find on YouTube or social media because it is updated as Claude improves. Bookmark it and come back to it regularly.
Open resource →Lovable Docs
Official Lovable documentation, features, integrations, and prompting guidance.
Why I recommend: If you are building with Lovable, the official documentation is worth reading properly rather than skimming. The prompt tips section in particular explains why Lovable interprets instructions the way it does, which makes your prompts significantly better.
Open resource →Tailwind CSS Docs
Documentation for Tailwind CSS, the styling framework Lovable uses under the hood.
Why I recommend: You do not need to learn to code to use this. But knowing that bg-slate-50 means light grey or text-sm means small text lets you prompt Lovable with precision instead of vague descriptions. A 20-minute read that pays back every time you build.
Open resource →SkillsMP
Searchable marketplace for SKILL.md format agent skills, compatible with Claude Code and Codex CLI.
Why I recommend: If you are building Claude Code workflows and want to find or share reusable instructions, this is where the community keeps them. Worth knowing about before you need it.
Open resource →Hemingway Editor
Paste your copy and it highlights sentences that are too long, passive voice, and complex words. Grades readability.
Why I recommend: Paste any copy you have written and it will tell you what is too long, too passive, or too complex. Grade 8 or below is the target for anything on a website. Run everything through it before it goes live.
Open resource →Swiped.co
Swipe file of the best marketing and website copy. Real examples of high-converting headlines, about pages, and service descriptions.
Why I recommend: A swipe file of the best marketing and website copy from real sites. Useful when you are writing homepage copy, service descriptions, or any client-facing content and want to see how good sites actually phrase things.
Open resource →Interactive Typography Cheat Sheet
Click any part of a letterform to learn its correct name, bowl, counter, stem, ascender, descender, and more.
Why I recommend: Click any part of a letterform to learn its correct name. Knowing the vocabulary, bowl, counter, stem, ascender, makes you more precise when briefing designers or discussing font choices. 15 minutes well spent.
Open resource →The Brand Identity
The definitive editorial platform for brand and design. Full case studies, studio interviews, and features on the world's best identity work.
Why I recommend: The best editorial platform for brand and design. Full case studies from studios working with cultural institutions, charities, and professional services. Reading it regularly keeps your design thinking current and gives you credible references.
Open resource →UX Tools
Weekly newsletter covering design tool comparisons, workflow deep dives, and UX industry trends.
Why I recommend: A weekly newsletter on design tools and workflow. The annual Design Tools Survey is particularly useful if you want data to back up tool recommendations. Low effort, good signal.
Open resource →The Rundown AI
Daily AI news digest, tools, models, industry moves. Highest signal-to-noise of the daily newsletters.
Why I recommend: The daily AI newsletter with the best signal-to-noise ratio. Five minutes a day is enough to stay current without going down rabbit holes. Start here if you only read one AI newsletter.
Open resource →Lenny's Newsletter
Product and business strategy newsletter that covers AI through a business lens rather than a tech lens.
Why I recommend: Covers AI through a business and product lens rather than a technical one. Useful if you work with leadership teams or need to frame AI conversations around outcomes and strategy rather than features.
Open resource →TLDR AI
Daily AI newsletter covering machine learning, model releases, research, and tools. 8-12 story summaries per issue.
Why I recommend: More technical than The Rundown. Sits closer to the developer end of the spectrum. Read both. They cover different ground and together give you a more complete picture of what is actually happening in AI.
Open resource →AI Essentials
Beginner course covering responsible AI and artificial neural networks, co-developed with Oxford faculty.
Why I recommend: A beginner course with Oxford provenance and a responsible AI framing. If someone asks you where to start with AI and they want something credible and structured, this is the answer. Certificates are available via Coursera audit for free.
Open resource →Python for Everybody
Beginner specialisation covering Python fundamentals, data structures, and basic database work.
Why I recommend: You do not need to write Python to use Claude Code effectively. But you do need to read it, understand roughly what it is doing, and debug it when something breaks. This is the most trusted beginner course available and it is free to audit.
Open resource →Foundations: Data, Data, Everywhere
First course in Google's Data Analytics certificate. Covers data ethics, data thinking, and how analysts approach problems.
Why I recommend: Not a technical course. A thinking course. It covers how to frame questions with data, which changes how you approach any recommendation that involves numbers or evidence. Stop after this one unless you want to go further.
Open resource →AI For Everyone
Non-technical course on AI strategy, workflow integration, and organisational adoption. No coding required.
Why I recommend: Built specifically for business leaders and non-technical professionals. The section on spotting AI opportunities inside an organisation is the most useful part. Different register to the Anthropic courses and worth doing both.
Open resource →Prompt Engineering for ChatGPT
Practical prompt engineering course covering chain-of-thought, personas, and output formatting across models.
Why I recommend: A slower-paced, more approachable prompt engineering course than the DeepLearning.AI version. A good recommendation for someone who finds the other courses too fast or too technical. Free to audit on Coursera.
Open resource →Building Effective Human-Agent Teams
Short course on moving a team from using AI one person at a time to working alongside a shared agent: clear roles, gradual release, and what the agent can see. No technical background needed.
Why I recommend: I'd put this in front of any team lead whose organisation already uses AI and is starting to hand work to an agent. It's short, and it's about roles and access rather than the tool. It's in beta, so expect it to change. If your team is newer to AI, do the Nonprofit Track first.
Open resource →Digital Culture Network
Free digital support for creative and cultural organisations in England: one-to-one sessions with specialist Tech Champions, events, a podcast and a Knowledge Hub of guides.
Why I recommend: If you work in an arts organisation, museum or library in England, this is free expert time most teams don't know they can book, on social media, email, websites, accessibility and data. One-to-one support is only for organisations that get, or could get, Arts Council funding. Everyone else can still use the Knowledge Hub.
Open resource →