
Discover how Make, a no-code automation platform, uses artificial intelligence to create robust integrations across IT, marketing, sales, and more, with 2,000+ modules and secure APIs.
Explore the Make interface, manage scenarios and templates, connect with Facebook, LinkedIn, and AI tools, and learn how webhooks and operations power automated form-to-email workflows.
Create a Make automation using the Tile module, with a form trigger and webhook connection to capture responses from a lead generation form template.
Test the Tile module by submitting the form to verify the data bundle captures first name, last name, email, job, and company size, set up Gmail to send an email.
Learn to enable the Gmail API in GCP by creating a project, activating the Gmail API in the library, and configuring credentials for integration.
Configure the consent screen and credentials for a Gmail integration in Make: set API name, add contact info, authorize domains, and prepare the client for secure app communication.
Learn to set up a Gmail connection in Make by creating a web app client, using the redirect URL from the docs, and collecting the client ID and secret.
Connect Gmail via no-code automation, set up client ID and secret, verify the app, create a connection, and send test emails using form data.
Learn HTML formatting to craft personalized emails using a template with variables such as first name, job title, and company, integrated in no-code automations.
Learn how to set up automations in a no-code tool by renaming, scheduling, saving versions, exporting blueprints as json templates, and importing scenarios.
Discover how http and webhook enable event-driven data flow, contrast api requests with webhooks, and build no-code integrations using Make's http module against a dictionary api.
Register for a free Tomba API account to obtain your key and secret, then use the domain search endpoint in the HTTP module.
Learn to build no-code automations with Make to fetch domain data using a domain search endpoint of the Tomba API, configure headers, and parse emails and LinkedIn details.
Learn to connect to the OpenAI ChatGPT API via Make's HTTP module, configure a bearer token using an API key, and post a JSON body to specify model and temperature.
Learn to build no-code automations with webhooks in Make, creating and testing webhook modules, generating endpoints, and integrating form data with tools like Google Sheets and Notion.
Show how webhooks push data to Make, convert form submissions into a JSON array, and store them in a Google Sheet with headers like first name and email.
Map webhook data to a Google sheet by defining field positions for an array and saving the data through a live webhook execution.
Learn how to use a webhook, an iterator, and a text aggregator to convert form data into a csv-ready stream for Google Sheets, enabling scalable no-code automations.
Learn how to use the iterator to split an array into records, aggregate values into a semicolon-delimited string, then parse csv and populate the Google Sheet in a no-code automation.
Learn to use the iterator and aggregator together to process json data from an http request. The iterator separates an array, while the aggregator joins selected fields.
Learn to create no-code automations with routes that split market data, generate and test webhooks, and use Postman to simulate API requests and route market arrays into separate spreadsheets.
Leverage no-code automations to route product data by market name using webhook data, applying exact text matches for supermercado economico, bompreco, and atacado popular, with iterator and Google Sheets integration.
Set up a Google sheet with market tabs named economic supermarket, good price market, and popular wholesale, with name and price columns, then define routes and iterators to filter products.
Set up a manual route in a no-code automation to add rows to a Google Sheet, using spreadsheet id and sheet name, and ensure data formats are correct before uploading.
Format and validate data for no-code automations by using the Google Sheets replace function to convert periods to commas, ensuring correct date interpretation and reliable webhook-driven outputs.
Format and process registration data from JSON for Google Sheets, correcting names, dates, emails, and phone numbers with no-code automation using the iterator module.
Format data in a Google Sheet to standardize names, emails, and birth dates using capitalize, lower, and format date, then map status to active or inactive.
Learn to clean and format data in Google Sheets using capitalize, lower, and format date functions, converting statuses to active or inactive and producing readable date outputs.
Fix data formatting errors in a no-code automation by using the replace function in Google Sheets to remove plus signs, convert dates to strings, and apply parseDate and formatDate.
Learn to map a JSON array of clients and use get to filter by plan, retrieving names and positions with map and get to extract basic plan users.
Explore regex basics, test patterns on regex101, and use a Make scenario variable to capture emails and text patterns for automation.
Add a make module that uses regular expressions with TextParse to find matches, then test patterns and enable global match for multiple occurrences.
Master regular expressions in no-code automations by using a practical email pattern, testing with regex101, and applying global matching in Make scenarios to extract and map emails.
Learn to perform web scraping and extract all URLs from a site using regex, HTTP requests, and text parsing in a no-code Make/Integromat workflow.
Learn how to handle errors in Make to keep automations running, handle too many requests errors, and use http, parse, and html modules to continue operations.
Explore three error-handling strategies in data processing for no-code automations: commit finalizes operations on error, ignore continues execution by skipping failures, and introduces break as the next widely used approach.
Set a break to retry failed requests after a chosen interval and number of attempts. Review incomplete executions, active scenarios, and the role of error handling in keeping automations running.
The goal of this course is to empower students to create intelligent, efficient, and customized automations using Make (formerly Integromat), enabling seamless integration between different tools and platforms through a visual, practical, and intuitive approach — with no need for programming.
Throughout the lessons, students will learn how to fully leverage the Make platform to connect systems like Google Sheets, Gmail, CRMs, Notion, Trello, and more. The course aims to automate repetitive tasks, reduce manual errors, and save time — directly contributing to increased productivity in daily professional life.
The content is structured progressively, starting with the essential concepts of the platform — such as modules, scenarios, triggers, actions, filters, and routers — and advancing to more technical topics like using webhooks, API calls, data handling, and internal functions. In addition, the course offers best practices for testing, maintaining, and scaling your automations efficiently and safely.
By the end of the course, students will be able to identify real automation opportunities, build workflows tailored to their needs, and implement solutions that optimize time, resources, and processes.
This course is ideal for marketing professionals, analysts, entrepreneurs, freelancers, and anyone looking to take their first steps into the world of intelligent automation — without complexity and with immediate practical application.