Building Automated Systems with AI

Transforming Manual Tasks into Smart Systems

AI for Business & Productivity4.5(101)3h 14m13 lectures1 section

What you'll learn

  • Understand the concept of automation and the Make interface
  • Understand Scenarios and Modules
  • Build a scenario with a Trigger and an Action
  • Use the Router to direct data
  • Clean data and control conditions with Filters
  • Use Functions to control data
  • Analyze text and extract data with a Text Parser
  • Add artificial intelligence to scenarios
  • Use Aggregators with repeated data
  • Connect services through Webhooks and HTTP Requests

About this course

This course shows you how to automate manual and repetitive tasks and turn them into smart systems that run automatically using the Make platform, with no coding. It starts with an introduction, then signing up and getting to know the Make interface, followed by the basic concepts: Scenarios and Modules. Then you build your first scenario with a Trigger and an Action, and you understand the Router, data cleaning, and controlling conditions with a Filter. After that you learn Functions to control changing data, analyzing text and extracting data with a Text Parser, adding artificial intelligence to scenarios, and handling repeated data with Aggregators. You move on to connecting services through Webhooks and sending HTTP Requests, and finish by building a complete scenario powered by artificial intelligence. The course suits business owners, employees, and anyone who wants freelance work in automation. You do not need any programming experience. By the end, you will be able to build automated scenarios that connect your tools and save you time.

Expected outcomes

  • Ability to design and implement intelligent systems that operate automatically.
  • Transform repetitive processes into automated scenarios.
  • Build practical solutions applicable in real projects.
  • Prepare for freelancing or implementing automation within businesses.

Learner reviews

These reviews are from learners who bought the content and completed at least 50% of it — there are no reviews from anyone who hasn't gone through the material.
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  • ★★★★★صفوت ع.·منذ 1 شهرشاهد 54٪

    شرح ممتاز ومعلومات جديدة وقيمة

  • ★★★★★محمود ع.·منذ 3 شهرشاهد 62٪

    الجزء الاول من الدورة جيد جدا وفي انتظار تكملة الكورس للتقييم الشامل

تم عرض كل التقييمات (2)

Course content

1

Building Automated Systems with AI

13 lectures
  1. Course IntroductionOutlines the course on learning automation with Make hands-on, from sign-up, scenarios, Router, Filter, functions and text parsing, to AI integration, Webhooks, HTTP requests and building a complete scenario.3:42
  2. Registration and Familiarization with the Interface: Your First Steps in MakeExplains creating a Make account and the difference between the free and paid plans, then tours the main interface, scheduling a scenario's runs, and setting the account time zone.23:13
  3. Basic Concepts: Scenarios and ModulesExplains the scenario concept in Make as a Trigger that starts it and an Action that responds, building an example that connects Google Forms to Google Sheets to log form data automatically.12:22
  4. Building Your First Scenario: Trigger and ActionBuilds a first Make scenario by linking a Google Forms Trigger to an Action that adds a new row in Google Sheets, running it once, scheduling it, and adding another Module to the same scenario.18:28
  5. Understanding Routing and Building the Basic ScenarioExplains the Make Router for splitting a scenario into parallel branches, unlinking and relinking Modules, adding and deleting branches, and running each branch on a condition, versus sequential linking.14:58
  6. Data Filtering and Condition ControlExplains using the Make Filter with Search Rows to check whether a customer already exists in the sheet, then routing each case: updating the existing row or adding a new customer.13:05
  7. Controlling Variable Data Using FunctionsExplains functions in Make for handling variable data, such as the conditional if function, math functions like average, and text and date functions to format names and dates automatically.14:58
  8. Text Analysis and Data ExtractionExplains using Text Parser in Make to analyze a text message and extract specific parts such as website address, phone number and email, then save them in separate columns in Google Sheets.13:50
  9. Smart Automation: Integrating Artificial Intelligence into ScenariosExplains adding AI to a Make scenario using the ChatGPT Module and Create a Completion, writing User, System and Assistant messages to generate an automatic customer reply, and connecting other AI tools with an API key.18:18
  10. Handling Repeated DataExplains Aggregators in Make, which gather many sheet rows into one bundle, such as Text Aggregator, so a single step runs instead of repeating per row, saving credits.12:08
  11. Integration and Building WebhooksExplains the Make Webhook for receiving data from an external site or form that has no ready Module, creating a Webhook URL, parsing the data as JSON, and recording it in Google Sheets.14:43
  12. Integration and Sending HTTP RequestsExplains the HTTP Module in Make for sending requests to any external site or service, setting parameters and dynamic values, such as validating a phone number through an outside service and logging the result in Google Sheets.11:47
  13. Building an Integrated Scenario Based on Artificial IntelligenceBuilds a complete Make scenario that generates an article with ChatGPT plus its image, then creates the category and tags and publishes the article to WordPress in order, driven by Google Sheets.22:47

Instructor

Eng. Ahmed Abbas

Eng. Ahmed Abbas

Civil engineer with extensive experience in drawing and design, professional web designer and programmer.
159.5K views22 courses

This course is part of the diploma

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