AI fluency is moving quickly to becoming a baseline expectation, even if it is not strictly part of your role, and the volume of courses, newsletters, podcasts and tools available has made the question of where to begin almost as paralysing as the technology itself.
You know you should be using AI more deliberately, you have a paid ChatGPT that you use like it’s Google, and every time you sit down to learn properly, your “real work” gets in the way.
This guide is built to help you navigate the resources and get started using AI more intentionally to help you in your role and free up time. It is a curated set of resources for senior professional women who want to build proper AI literacy from a beginner’s base.
Nothing here requires a technical background, all of it is selected for relevance to corporate roles, and most of the core learning is free.
In This Article
- Why AI literacy matters now, not next year
- Start here: the foundational courses
- Going one step further: learning to prompt well
- Newsletters worth reading weekly
- Communities and networks for women in and around AI
- The tools to open and use
- Your first month with AI: a starter checklist
- A note on what comes next
Why AI literacy matters now, not next year
The case for taking this seriously is no longer about being ahead of the curve. Generative AI is being built into the day-to-day software senior women are already using, from Outlook and Word to the legal research platforms, the deal databases and the client management systems. The question is no longer whether you encounter AI in your work, only how thoughtfully you use it when you do.
There is also a career risk to ignoring AI. The women who hesitate the most when it comes to implementing AI are the ones who built their reputations on careful thinking and good judgment, and they worry that AI will undermine those skills.
Meanwhile, people at the same level are using AI to save two to four hours a week and getting more done. Over a year, that gap in knowledge and delivery compounds and could become more noticeable.
The point of building AI literacy now is to avoid both problems. You stop avoiding the tools, and you stop using them in the wrong places. That is much easier when you have a proper foundation, which is what these resources are for.
Start here: the foundational courses
If you do nothing else from this post, do one of the courses below. They are designed for non-technical professionals, take between two and ten hours, and will leave you able to follow any conversation about AI happening around you at work. I would start with Elements of AI as the gentlest entry point, then move to AI for Everyone for the business framing.
Foundational AI courses (free, no technical background needed)
Elements of AI. University of Helsinki and MinnaLearn. The most accessible introduction available. Roughly six hours, broken into short modules, designed for complete beginners. Over a million people have completed it.
Free | Self-paced | Certificate available.
AI for Everyone. Andrew Ng, DeepLearning.AI on Coursera. The benchmark course for non-technical professionals, focused on how AI changes organisations and how to think about strategy.
Around six hours | Free to audit | Roughly £40 for the certificate.
Generative AI for Everyone. Andrew Ng, DeepLearning.AI on Coursera. The natural next step after AI for Everyone, focused on the wave of tools you are most likely to use day to day.
Around five hours | Free to audit | Certificate available.
Google AI Essentials. Google on Coursera. A practical course on using AI tools in everyday work, including prompting, drafting and avoiding common mistakes.
Around ten hours | Roughly £40 | Certificate from Google.
Microsoft AI Fundamentals (AI-900 learning path). Microsoft Learn. Useful if your workplace runs on Microsoft 365 and Copilot. More technical in feel, but still designed for non-developers.
Free | Self-paced.
If you do all five, you will be ahead of most people at your level outside of tech. If you only have time for one, do Elements of AI and come back to the rest in a few months.
Going one step further: learning to prompt well
Once you understand what these tools are, the next skill that pays off quickly is prompting, which is the practice of writing instructions that get good output. This is the difference between asking ChatGPT for “a summary of this report” and getting back something generic, versus asking it to read the report through the lens of a sceptical board chair, flag the three weakest claims, and propose how the author might pre-empt them. A good prompt can lead to very different results.
Prompting and practical use
Anthropic’s Build with Claude library. Anthropic, the maker of Claude. Free guides, prompting documentation and short videos. The prompt engineering guidance is particularly clear and applies to most modern AI tools, not just Claude.
Free | Browseable.
OpenAI Academy. OpenAI’s own learning platform, with free courses on getting the most out of ChatGPT, including for business and professional use.
Free | Account required.
ChatGPT Prompt Engineering. DeepLearning.AI short courses. Slightly more technical in framing, but the principles are useful for anyone writing prompts seriously.
Free | Roughly two hours.
LinkedIn Learning AI courses. LinkedIn. A growing library of short, role-specific AI courses, including ones aimed at lawyers, finance professionals and managers. Often included free with corporate LinkedIn subscriptions.
Subscription | Check whether your employer already provides access.
The best way to build this skill is not to consume more content but to use the tools on real work, deliberately, for thirty minutes a day. Pick a task you already do every week, a stakeholder update for instance, or a client briefing note, and use AI to draft, challenge or restructure it. Compare the output to what you would have produced. The courses are helpful to get you started understanding good prompt structure, but a few weeks of real-world practice will be most effective.
Newsletters worth reading weekly
Once you have the foundations in place, newsletters are how you stay current without disappearing into AI Twitter or YouTube. The pace of change right now is very fast, which can feel overwhelming, but reading something credible once or twice a week is enough to keep up.
AI newsletters for non-technical readers
The Neuron. A daily round-up of AI news written in plain English. Easy to skim in two minutes.
Free | Daily
Superhuman. Practical AI use for professionals, with a focus on tools and tactics rather than research.
Free | Three times a week
TLDR AI. Three-line summaries of the most important AI news of the day. Good if you want a signal without commentary
Free | Daily
Ben’s Bites. A long-running AI newsletter with strong context on what each story means for working professionals
Free | Daily
One Useful Thing by Professor Ethan Mollick at Wharton. The clearest, most thoughtful writing on AI for professionals available anywhere. Read this one.
Free | Weekly
Communities and networks for women in and around AI
Working through this on your own is harder than working through it with peers who are figuring out the same questions. The networks below are good starting points, with a UK lean.
UK and global networks
Women in AI (WAI). Global network with active UK chapters, events and mentoring programmes. A good entry point regardless of whether you work in AI directly.
Free to join | Global, with London activity
Women in Data Science and AI Hub. The Alan Turing Institute. A curated hub of organisations, resources and research aimed at women working in or interested in AI.
Free | UK
I-X Women in AI Network. Imperial College London. Events, talks and small career development grants for women working in or around AI.
Free | London-based
Women Defining AI. A community focused on amplifying women’s voices in AI conversations, with events and learning programmes.
Free to join
Women in Tech UK. Broader than AI, but useful for senior women looking to connect with others working across tech, including AI-adjacent roles.
Free | UK
The tools to open and use
The biggest mistake I see is people spending too much time learning about AI and not enough time using it. The tools below are the ones to have open while you work, with notes on what each does well.
Core tools for daily work
ChatGPT. OpenAI. The most widely used general-purpose AI assistant, strong for drafting, brainstorming, summarising and structured thinking. The £20 a month Plus tier is the right entry point.
Free tier available. Plus tier roughly £20 per month.
Claude. Anthropic. Strongest of the major tools for long-form writing, careful reasoning and document analysis. Many senior professionals prefer it for the work that matters.
Free tier available. Pro tier £18 per month, for meaningful work using Co-Work or Code £90 per month
Microsoft Copilot. Microsoft. Built into Word, Outlook, Excel and Teams. If your workplace runs on Microsoft 365, this is where AI shows up in your day whether you sought it out or not.
Often included in corporate Microsoft 365 plans.
Perplexity. A research-focused tool with proper citations, useful for any work where you need to verify a claim or pull together a market briefing.Free tier available.
Pro tier roughly £15 per month.
NotebookLM. Google. Upload your own documents and ask questions of them. Useful for working through long reports, meeting transcripts or research papers.
If you are starting from cold, pick one general tool, such as Claude, and commit to using it daily for a month before adding anything else. If you use one tool, over time you can build it’s memory and share your preferences, which will in turn get you better output.
Your first month with AI: a starter checklist
The temptation with a guide like this is to bookmark everything and act on nothing. The structure below is a realistic four-week plan that takes you from passive interest to working competence, designed to fit alongside a corporate role.
First month with AI: a four-week plan
Week one:
- Complete Elements of AI. Set aside three or four ninety-minute slots across the week.
- Subscribe to One Useful Thing and read the latest two posts.
Week two:
- Open either ChatGPT or Claude. Use it on one real piece of work each day for at least twenty minutes.
- Start AI for Everyone. Aim to finish it by the end of week three.
Week three:
- Read Anthropic’s prompting guide and apply two of the techniques to your next AI session.
- Identify one recurring task in your week that AI could shorten by at least an hour. Build a prompt for it.
Week four:
- Join one community from the list above. Sign up to one upcoming event, online or in person.
- Review what has changed. List three tasks AI now does for you, and three tasks you have deliberately kept doing yourself.
Four weeks is enough to move from feeling behind to feeling capable and having a solid baseline understanding of how to use AI in your day to day workflows.
What comes next
This guide stops at the point where you have your foundations in place. The next stage is about using AI more strategically. That includes thinking about how AI changes your role and your team, how to spot the work that should still be done by hand, and how to keep your own thinking sharp while also using AI to support your work.
If you would value working through this with a group of senior professional women asking the same questions, Peer Suite is built for that kind of peer-led learning.
Read Next
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- The Career Conversation You Should Be Having With Your Manager Right Now Before you look elsewhere, make sure you have had the conversation that could change what is possible where you are
- Is Your Job Worth It? The Learning vs Earning Framework A clear framework for working out whether your current role is still giving you what you need
- Building Your Board of Directors: Creating a Personal Advisory Network The relationships that will support your next move and how to build them before you need them
- The Year-End Career Audit: 10 Questions to Ask Yourself A structured way to take stock of where you are and whether it is still where you want to be
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