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Complete AI Mastery Course

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A comprehensive 10-module journey from AI foundations to advanced agentic systems and entrepreneurship. Master prompt engineering, automation, coding with AI, and build a future-proof career.

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Interactive10 min

Introduction to No-Code AI Automation

Introduces no-code AI automation as trigger + actions + data flowing between apps, shows where AI steps add language understanding, and walks through building a simple email-to-spreadsheet logger.

{"contentFormat":"slides.v1","completion":{"requireAllSlides":true,"requireQuiz":true},"slides":[{"kind":"title","eyebrow":"Module 5: AI Automation and Workflows","title":"Introduction to No-Code AI Automation","body":"Learn how to automate repetitive tasks using visual workflows enhanced with AI — no programming required. This lesson covers core concepts, popular tools, and a hands-on example you can build today.","outcomes":["Define automation, workflow, trigger, action, and data.","Explain how AI steps (LLMs) add understanding to automations.","Identify three major no-code platforms and their strengths.","Build a simple email-to-spreadsheet logger with an AI summariser."],"narration":"Welcome to Module 5. In this lesson, we'll explore how no-code AI automation can save you hours by handling repetitive tasks. You'll learn key concepts, see real-world examples, and build your first workflow."},{"kind":"content","heading":"What Is Automation?","body":"An automation (or workflow) is a set of steps that run automatically when a specific event occurs. Think of it as a recipe the computer follows on your behalf.\n\n- Trigger — the event that starts the workflow. Example: \"a new email arrives,\" \"a form is submitted,\" \"it is 9:00 AM.\"\n- Action — a step the workflow performs. Example: \"create a spreadsheet row,\" \"send a message,\" \"generate a summary.\"\n- Data — the information that flows from step to step, usually as named fields like email address, order total, or customer name.\n\nAnalogy: imagine a relay race. The trigger fires the starting gun; each runner (action) receives the baton (data), does their part, and passes it on. No-code tools let you arrange the runners without writing the rules of physics yourself.","callout":{"variant":"insight","title":"Key Insight","text":"Automation doesn't replace your judgment — it frees you to focus on work that needs human creativity and decision-making."},"narration":"Automation is like a recipe for your computer. A trigger starts it, actions perform steps, and data flows between them. No-code tools let you build this visually."},{"kind":"content","heading":"No-Code Platforms in 2026","body":"No-code platforms provide a visual builder where pre-built blocks represent apps and steps. You connect Gmail to Google Sheets, or WhatsApp to a database, by selecting from a menu — no coding required.\n\nHere are the three most widely used general-purpose tools as of 2026:","callout":{"variant":"note","title":"2026 Update","text":"Many apps now include native AI features (e.g., Google Sheets' 'Summarize' or Notion AI). These count as automation too, even without a separate platform. Also, Zapier's 'AI by Zapier' and Make's AI modules are mature and widely used."},"table":{"headers":["Platform","Best For","Key Strength","Pricing Model"],"rows":[["Zapier","Beginners, simple flows","Largest app catalogue (~6000+ apps)","Free tier (100 tasks/month); paid plans"],["Make (formerly Integromat)","Complex multi-step workflows","Visual canvas with branching logic","Free tier (1000 ops/month); paid plans"],["n8n","Technical users, privacy-conscious","Open-source, self-hostable","Free self-hosted; paid cloud plans"]]},"narration":"Zapier is great for beginners, Make offers more flexibility, and n8n is open-source for those who want full control. Many apps also have built-in AI features now."},{"kind":"content","heading":"Where AI Fits In","body":"Classic automation moves data between apps but cannot understand messy human language. AI automation adds a step powered by a large language model (LLM) — the technology behind assistants like Claude and ChatGPT — that can:\n\n- Summarise a long email or document into a few lines.\n- Classify an incoming message (e.g., \"complaint,\" \"sales enquiry,\" \"invoice\").\n- Extract structured fields from unstructured text (pull the date and total from a receipt).\n- Draft a reply, caption, or report in a chosen tone and language.\n\nAn AI step is simply an action where you send some text to a model along with an instruction (a prompt), and the model returns text you can use in the next step.","callout":{"variant":"exercise","title":"Think About It","text":"What repetitive task in your work involves reading or writing text? Could an AI step handle part of it?"},"narration":"AI adds understanding to automation. It can summarise, classify, extract, or draft text. You just send a prompt and get back useful output."},{"kind":"content","heading":"Real-World Examples","body":"Here are three examples of no-code AI automation in action around the world:","cards":[{"title":"Lagos Boutique","text":"A boutique receives orders via Instagram and WhatsApp. A workflow watches for new messages, uses AI to detect if it's an order or a question, and logs orders into Google Sheets — saving hours of manual copying."},{"title":"Philippines NGO","text":"A community NGO collects field reports via an online form. When submitted, AI summarises the report and tags the region, then appends a tidy row to a monthly reporting sheet — reducing a full day's work to minutes."},{"title":"Brazilian Freelancer","text":"A freelance designer connects invoicing to accounting. Each new invoice triggers a workflow that extracts client name and amount, generates a polite payment-reminder email in Portuguese, and schedules it — recovering hours for design work."}],"narration":"From a boutique in Lagos to an NGO in the Philippines to a freelancer in Brazil, people are using no-code AI automation to save time and reduce errors."},{"kind":"content","heading":"Hands-On: Build an Email-to-Spreadsheet Logger","body":"You will build a tiny \"email-to-spreadsheet logger\" using free tiers. This works in Zapier's free plan; the same shape applies in Make or n8n.\n\n1. Create free accounts. Sign up for Zapier (free tier) and make sure you have a Google account with Google Sheets.\n2. Prepare the destination. Create a new Google Sheet named Incoming Log with column headers in row 1: Date, From, Subject, Summary.\n3. Start a new automation. In Zapier, click CreateZap.\n4. Set the trigger. Choose GmailNew Email Matching Search, and use a search like label:inbox is:unread. Connect your Gmail account when prompted.\n5. Add an AI step. Add an action using a built-in AI/summarise step (or an \"AI by Zapier\" action). In the prompt box, write: \"Summarise this email in one sentence: {{email body}}\" — inserting the email-body field from the trigger.\n6. Add the spreadsheet step. Choose Google SheetsCreate Spreadsheet Row. Select your Incoming Log sheet and map: Date → the email date, From → sender, Subject → subject, Summary → the AI step's output.\n7. Test and turn on. Run Zapier's built-in test. Confirm a new row appears in your sheet, then toggle the Zap On.\n\nYou now have a working AI automation. Send yourself a test email and watch a summarised row appear.","callout":{"variant":"tip","title":"Pro Tip","text":"If you don't have a Gmail account, you can use any email service that Zapier supports (e.g., Outlook, Yahoo). The steps are similar."},"narration":"Now let's build something. Follow these steps to create an email-to-spreadsheet logger with AI summarisation. It's simple and works on free tiers."},{"kind":"quiz","heading":"Check Your Understanding","questions":[{"question":"What is the role of a trigger in an automation workflow?","options":["It performs a step like sending an email.","It is the event that starts the workflow.","It stores data between steps.","It connects to the AI model."],"questionId":"cmrf73k7z001mpd27kdq0t4mv"},{"question":"Which of the following is an open-source, self-hostable no-code automation platform?","options":["Zapier","Make","n8n","Google Sheets"],"questionId":"cmrf73k7z001npd271e899ype"},{"question":"What does an AI step typically do in an automation?","options":["It moves files between folders.","It sends data to a spreadsheet.","It processes text using a language model (e.g., summarise, classify).","It creates a new email account."],"questionId":"cmrf73k7z001opd27uy3bw8m1"}],"quizId":"qz_cmk7lj39u001rg4p8b0q7bc12"},{"kind":"summary","heading":"Lesson Summary","takeaways":["Automation (workflow) = trigger + actions + data; no-code tools let you build visually.","AI steps use LLMs to summarise, classify, extract, or draft text.","Major platforms in 2026: Zapier (beginner-friendly), Make (flexible), n8n (open-source).","Many apps now have native AI features; check your tools for built-in automation.","You can build a working AI automation in minutes using free tiers — try the email logger exercise."],"narration":"You've learned the basics of no-code AI automation: what automation is, how AI adds understanding, which platforms to use, and how to build a simple workflow. In the next lesson, we'll dive into APIs and more advanced integrations."}]}