This is the complete curriculum for LearnWithZavi, every module and every lesson, grouped by topic. It is written for people who want to use AI well at work and in everyday life, with no coding and no maths. Every course is free, needs no signup, and ends with a free certificate of completion.
Learn to write prompts that get you exactly what you want from AI, from your first 'hello' to advanced techniques like few-shot examples and chain-of-thought. No coding required, wit strongly encouraged.
Module 1: Foundations
- What Even Is a Prompt?
- Anatomy of a Great Prompt
- Be Specific or Be Sorry
- Role Prompting: Wear a Costume
Module 2: Core Techniques
- Few-Shot: Teaching by Example
- Chain-of-Thought: Show Your Work
- Output Formatting: JSON, Tables & Tone
- System Prompts & Personas
Module 3: Level Up
- Iterating: Nobody Nails It First Try
- Temperature & Other Knobs
- Common Pitfalls & Prompt Injection
- Capstone: Build Your Ultimate Prompt
What generative AI actually is, how large language models really work, why they sometimes lie with confidence, and how to pick the right model for the job. Real-world examples, zero jargon-gatekeeping.
Module 1: The Big Picture
- What Is Generative AI, Really?
- A Very Short History of AI
- Fancy Autocomplete: How LLMs Work
- Tokens: The LEGO Bricks of AI
Module 2: Under the Hood
- Training vs Inference
- Beyond Text: Images, Audio & Video
- Hallucinations: When AI Confidently Lies
- Context Windows & Memory
Module 3: AI in the Wild
- Generative AI in the Wild
- Ethics, Bias & Safety
- Choosing a Model
- Capstone: Prove Your AI Chops
A complete beginner's tour: what the screen is showing you, how to ask for things, what the different modes do, what it costs, and the settings worth changing on day one.
Module 1: First Steps
- What You Are Looking At When You Open ChatGPT
- How to Ask ChatGPT for Something Useful
Module 2: Getting More Out of It
- How to Use Files, Images and Voice in ChatGPT
- How to Make ChatGPT Remember How You Work
Module 3: Practicalities
- ChatGPT Free vs Paid: What You Actually Get
- The ChatGPT Settings Worth Changing Today
Use Projects to stop repeating yourself, and set up recurring tasks that run on a schedule so the boring parts of your week handle themselves.
Module 1: The Basics
- Getting Started with Claude
- How to Use Claude Projects to Stop Repeating Yourself
Module 2: Automating
- How to Set Up Recurring Tasks in Claude
- What You Should Automate First
Module 3: Keeping It Working
- What to Do When Automation Goes Wrong
- Build Your Automated Week
What an AI agent actually is, how it differs from a chatbot, what it can reach and change in the real world, where agents genuinely work today, and where they still fall over.
Module 1: What They Are
- What Is an AI Agent, Really?
- How AI Agents Use Tools
Module 2: In the Real World
- Where AI Agents Actually Work Today
- What AI Agents Still Get Wrong
Module 3: Working With Them
- How to Brief an AI Agent Properly
- Should You Use an Agent for This?
Why modern AI works by trying, checking and trying again, what that buys you, how loops fail in ways that are easy to miss, and how to keep one on a leash.
Module 1: The Idea
- What a Loop Means in AI
- Why Looping Beats One Big Answer
Module 2: When It Breaks
- When an AI Loop Goes Wrong
- How to Set Stopping Rules and Guardrails
Module 3: Staying in Control
- What AI Loops Actually Cost You
- How to Review Work You Did Not Watch
A complete beginner's tour of Google Gemini: what the screen shows you, how to ask well, how it works alongside Gmail and Docs, and which settings are worth changing on day one.
Module 1: First Steps
- What You Are Looking At When You Open Gemini
- How to Ask Gemini for Something Useful
Module 2: With Your Other Tools
- How to Use Gemini with Gmail, Docs and Drive
- How to Use Images, Files and Voice in Gemini
Module 3: Practicalities
- Gemini Free vs Paid: What You Actually Get
- The Gemini Settings Worth Changing Today
Why long AI conversations drift, forget your constraints and quietly contradict themselves, and what to do about it. How much context a request actually needs, how to keep rules alive, and how to make AI work only from your own documents.
Module 1: Why It Goes Wrong
- Why Long AI Conversations Start Going Wrong
- How Much Context Does Your Request Actually Need
Module 2: Keeping Control
- How to Stop AI Forgetting Your Rules
- How to Make AI Work Only From Your Own Documents
Module 3: Catching Problems
- How to Spot When AI Has Drifted
- Your Reliable AI Working Session
A patient, plain-English introduction to AI for people over 50: what it is, your first conversation with an assistant, everyday uses, and how to spot AI scams aimed at you.
Module 1: Getting Comfortable
- What AI Actually Is, in Plain English
- Your First Conversation With an AI Assistant
Module 2: Everyday Uses
- Everyday Things AI Can Help With
- Writing, Family and Staying in Touch
Module 3: Staying Safe
- Spotting AI Scams Aimed at You
- Your Next Steps
Use AI for the work that eats your week: email, meeting notes, research, reports and planning. Every lesson gives you something you can use the same afternoon, and the course ends with a weekly routine you can actually keep.
Module 1: The Daily Grind
- How to Write Work Emails with AI
- How to Turn Meeting Notes into Action Items
- How to Write Faster by Talking Instead of Typing
Module 2: Thinking Work
- How to Research Anything in Half the Time
- How to Write Reports and Summaries with AI
Module 3: Put It Together
- Build Your Weekly AI Routine
Decide where AI genuinely helps your team, set ground rules people will actually follow, review AI-assisted work properly, and build an adoption plan you can take to your boss.
Module 1: Decide
- Where AI Actually Helps Your Team
- How to Work Out What AI Is Worth to You
Module 2: Set the Rules
- How to Set AI Ground Rules for Your Team
- How to Review AI-Assisted Work Properly
Module 3: Roll It Out
- How to Get Your Team to Actually Use AI
- Build Your Team's AI Adoption Plan
Write formulas by describing what you want, clean up messy data, spot what the numbers are telling you, and check the answers before you share them.
Module 1: Getting Answers
- How to Write Excel Formulas Using AI
- How to Clean Up Messy Data with AI
Module 2: Finding Meaning
- How to Ask Good Questions About Your Data
- How to Build Charts That Explain Something
Module 3: Being Right
- How to Check AI's Answer Before You Share It
- Build Your Spreadsheet Workflow
Research prospects, prepare for calls, write outreach that gets replies, and answer customers quickly without sounding like a machine wrote it.
Module 1: Before the Conversation
- How to Research a Prospect Before You Call
- How to Write Outreach That Gets Replies
Module 2: During
- How to Prepare for a Sales Call with AI
- How to Answer Customer Questions Faster
Module 3: After
- How to Handle Follow-Ups and Call Notes
- Build Your Sales and Support Workflow
Build a talk that holds attention: find your argument first, write slides people can read at a glance, prepare speaker notes, and handle the questions you are dreading.
Module 1: The Argument
- How to Find the Point of Your Presentation
- How to Structure a Presentation That Holds Up
Module 2: The Slides
- How to Write Slides People Can Actually Read
- How to Present Data Without Losing the Room
Module 3: The Room
- How to Prepare Speaker Notes and Handle Questions
- Build Your Presentation Workflow
Most people use AI like a search box. This is the practical shift to handing over whole pieces of work: writing briefs AI can act on, giving it what it needs, and checking what comes back.
Module 1: The Shift
- Asking a Question vs Delegating a Job
- How to Write a Brief AI Can Act On
Module 2: Handing Over
- How to Give AI What It Needs to Do the Job
- How to Hand Over a Multi-Step Job
Module 3: Trust and Check
- How to Check Work You Did Not Watch
- Build Your Delegation Playbook
Practical AI for people teams, with a clear line between the admin it genuinely speeds up and the decisions about people that must stay human, legal and explainable.
Module 1: Drawing the Line
- Where AI Helps in HR, and Where It Must Not
- Using AI in Hiring Without Breaking the Law
Module 2: Day to Day
- How to Write Better Job Descriptions with AI
- How to Use AI for Interviews and Onboarding
Module 3: Communicating
- How to Draft Policies and Employee Messages
- Build Your HR AI Policy
Where AI genuinely helps finance work, from categorising transactions to explaining results, and the arithmetic weakness that means you check every number before it leaves your desk.
Module 1: Ground Rules
- Where AI Helps in Accounting
- Why You Cannot Trust AI With Arithmetic
Module 2: The Work
- How to Categorise Transactions with AI
- How to Use AI for Reconciliation and Spotting Anomalies
Module 3: Communicating
- How to Explain Numbers to Non-Finance People
- Build Your Accounting Workflow
For anyone responsible for how a team uses AI. Who is accountable when it gets things wrong, what staff may and may not paste into it, how to set up review that actually catches errors, and how to write a policy people will follow.
Module 1: Accountability
- Who Is Accountable When AI Gets It Wrong
- What Your Team May and May Not Put Into AI
Module 2: Making It Work
- How to Choose Your Team's First AI Use Case
- How to Set Up Review That Actually Catches Errors
Module 3: Your Policy
- How to Lead a Team That Is Split on AI
- Write Your Team's One-Page AI Policy
Build automations that do real work without writing code, and more importantly keep them from failing silently. What to automate first, how these tools actually work, and how to keep a human in the loop where it matters.
Module 1: Getting Started
- What You Should Automate First
- How a No-Code Automation Actually Works
Module 2: Building
- How to Build Your First AI Automation
- What to Do When an Automation Breaks Silently
Module 3: Keeping It Safe
- How to Keep a Human in the Loop
- Your Automation Starter Plan
Claude Cowork works through multi-step jobs using your own files and folders, then comes back for approval. What it is genuinely good at, how to brief it, and the checks that keep you in control of work you did not watch happen.
Module 1: The Idea
- What Claude Cowork Actually Is
- What Is Worth Handing Over
Module 2: Doing the Work
- How to Brief a Whole Job
- Working With Your Own Files
Module 3: Staying in Control
- Checking Work You Did Not Watch
- Your Cowork Routine
A skill is a set of instructions Claude picks up automatically when a task calls for it, so your preferences and way of working stop living in every prompt. What skills are, when one is worth making, and how to write your first.
Module 1: The Idea
- What a Skill Actually Is
- When a Skill Is Worth Making
Module 2: Using Them
- Using Skills Somebody Else Wrote
- Writing Your First Skill
Module 3: Getting Good
- When Skills Go Wrong
- Your Skill Library
Find and understand sources, take notes that are actually useful later, revise properly, and stay on the right side of the line between using AI to learn and using it to avoid learning.
Module 1: Finding and Reading
- What AI Is Genuinely Good For When You Study
- Finding Sources, and Checking They Exist
Module 2: Understanding and Remembering
- Getting Through Material You Do Not Understand
- Notes and Revision That Actually Stick
Module 3: Doing It Properly
- The Line Between Learning and Cheating
- Your Study Routine
Get accurate notes, minutes and actions out of meetings without transcribing them yourself, including the consent question nobody asks, and what to do when the transcript gets it wrong.
Module 1: Before and During
- What AI Notetakers Do, and What They Miss
- Asking Permission, and Why You Must
Module 2: Getting Something Useful Out
- Turning a Transcript Into Notes Worth Reading
- Actions and Decisions That Do Not Get Lost
Module 3: When It Goes Wrong
- When the Transcript Gets It Wrong
- Your Meeting Routine
Use AI to plan projects, draft status reports, surface risks and run tighter meetings, without handing it the judgement calls that make you the project manager.
Module 1: Planning
- Where AI Actually Helps a Project Manager
- From a Messy Brief to a First Plan
Module 2: Running the Project
- Status Reports People Actually Read
- Spotting Risks and Dependencies Early
Module 3: People and Judgement
- What Not to Hand to AI
- Your Project Management Workflow
Use AI across product work: synthesising customer feedback without inventing it, drafting specs, pressure testing priorities and preparing for stakeholder conversations.
Module 1: Discovery
- Where AI Fits in Product Work
- Synthesising Feedback Without Inventing It
Module 2: Definition
- Drafting Specs and Requirements
- Pressure Testing Your Priorities
Module 3: Stakeholders
- Stakeholder Updates and Hard Conversations
- Your Product Practice
What senior leaders actually need to know about AI: separating real value from vendor noise, deciding where to invest, managing risk, and leading people through the change.
Module 1: Seeing Clearly
- What a Leader Actually Needs to Know About AI
- Telling Real Value From Vendor Noise
Module 2: Deciding
- Deciding Where AI Is Worth It
- Risk, Governance and Accountability
Module 3: Leading People
- Leading People Through the Change
- Your AI Leadership Plan
Where AI helps legal work, from summarising documents to first drafts, why invented case citations are the risk that ends careers, and how to protect client confidentiality.
Module 1: Where It Helps
- Where AI Helps Legal Work
- Summarising Long Documents Safely
Module 2: Where It Hurts
- Invented Citations and Why They End Careers
- Client Confidentiality and AI Tools
Module 3: Practice
- Drafting With AI Without Losing Your Voice
- Your Legal AI Policy
Turn AI into your job search assistant: tailor your CV to each posting, write cover letters that sound human, sharpen your LinkedIn profile, and walk into interviews prepared. Ends with a 30-day plan you can follow.
Module 1: Your Application
- How to Tailor Your CV to a Job Posting
- How to Write a Cover Letter That Sounds Human
- How to Improve Your LinkedIn Profile with AI
Module 2: Getting Hired
- How to Prepare for an Interview with AI
- How to Research a Company Before You Apply
Module 3: Put It Together
- Your 30-Day Job Search Plan
An honest look at data annotation work: what the job really involves, what it pays, where the legitimate platforms are, how to spot the scams, and how to move up to better-paid specialist work.
Module 1: The Work
- What AI Annotation Work Actually Involves
- What AI Annotation Work Pays
Module 2: Getting Work
- Where to Find Legitimate Annotation Work
- How to Spot an Annotation Job Scam
Module 3: Getting Better Work
- The Skills That Get You Better-Paid Annotation Work
- Your First 30 Days in Annotation Work
Certificates rarely get anyone hired. Verifiable work does. Choose projects that prove real skill, build them, document them so a stranger can check them, and show them to employers without overclaiming.
Module 1: The Honest Truth
- Why AI Certificates Do Not Get You Hired
- How to Choose Projects That Prove Real Skill
Module 2: Building It
- How to Build Your First AI Project
- How to Document Work So Someone Can Verify It
Module 3: Showing It
- How to Show Your Portfolio to Employers
- Your 30-Day Portfolio Plan
An honest look at what AI is actually replacing and what it is not, which skills genuinely pair well with it, and how to use AI daily without quietly losing the skill that makes you employable.
Module 1: The Honest Picture
- What AI Is Actually Replacing, and What It Is Not
- Which Skills Actually Pair Well With AI
Module 2: Staying Sharp
- How to Become the Person Who Checks the AI
- How to Use AI Without Losing Your Own Skill
Module 3: Making It Visible
- How to Show Your Employer You Are Ahead
- Your 90-Day AI Career Plan
Build and ship real websites by describing them in plain English, no coding required. Learn how Lovable works, how to prompt it well, what it actually costs, and honestly when you should use something else instead.
Module 1: Getting Started
- What Lovable Actually Is
- Prompting Lovable Well
- Pricing, Credits and Not Burning Them
Module 2: Build Something Real
- Build Your First Site: A Portfolio
- Lovable Cloud: Making Your Site Remember Things
Module 3: Judgment
- When Lovable Is the Wrong Tool
Turn a script into a finished video with a voiceover that does not sound robotic. Covers writing for the ear, generating video, making voice sound human, and the honest limits plus the rules about consent.
Module 1: The Script
- How to Write a Script People Will Listen To
- How to Plan a Short Video That Works
Module 2: Making It
- How to Make a Video with AI
- How to Create a Voiceover That Sounds Human
Module 3: Doing It Right
- Voice Cloning, Consent and Disclosure
- Build Your Video Workflow
Research your audience, keep a consistent brand voice, turn one idea into a month of content, generate ad creative, and know what to check before anything goes public.
Module 1: Groundwork
- How to Research Your Audience with AI
- How to Keep a Consistent Brand Voice
Module 2: Making Content
- How to Turn One Idea Into a Month of Content
- How to Create Ad Images and Copy with AI
Module 3: Before You Publish
- What to Check Before You Publish AI Content
- Build Your Content Calendar
Build a working website without code, inside ChatGPT itself, and put it online. What Sites does well, what it cannot do, where it is available, and how it compares to the other no-code builders before you commit.
Module 1: Getting Started
- What ChatGPT Sites Actually Is
- Building Your First Site
Module 2: Making It Good
- Asking for the Layout You Want
- Publishing and Using Your Own Domain
Module 3: Judgment
- What ChatGPT Sites Cannot Do
- Your Site Plan
Generate images that match a brief, get a logo you can actually use, keep a visual style consistent across everything you make, and know where the legal and quality limits sit.
Module 1: Getting a Usable Image
- What AI Image Tools Are Good At
- Writing a Brief an Image Tool Can Follow
Module 2: Design Work That Holds Up
- Logos, and Why They Are the Hard Case
- Keeping One Visual Style Across Everything
Module 3: Before You Publish
- Who Owns It, and What You Can Safely Use
- Your Design Workflow
Use AI across the product design process: synthesising research without inventing findings, generating flows and copy, pressure testing your own decisions, and knowing which parts of the job it cannot take.
Module 1: Research and Synthesis
- Where AI Actually Fits in Design Work
- Synthesising Research Without Inventing It
Module 2: Making Things
- Flows, Wireframes and First Drafts
- Writing Interface Copy That Sounds Human
Module 3: Judgement
- Pressure Testing Your Own Decisions
- Your Design Practice
- For people who want to use AI rather than build it: what generative AI is and how it works, writing prompts, checking AI output, applying it to real work, and handing it multi-step tasks. Courses for building AI add programming, statistics, linear algebra and machine learning. This syllabus is the first kind.
- Yes. Every course and lesson listed here is free to read in full, with no signup and no card. Finishing a course unlocks a free certificate of completion, which is not an accredited qualification.
- Getting Started with ChatGPT if you are brand new, then Prompt Engineering. If you would rather be told exactly what to do, Start Here picks a three-course route based on your job, and the 30-day path turns it into a daily plan.
- Yes. Use your browser's print option and choose Save as PDF. The page is laid out to print cleanly.
- No. Every course here is written for people who do not code. If you want to build AI systems yourself, you will need a developer-focused course as well.