In the Make Basis course (formerly Integromat), you’ll learn how to build smart, automated workflows to seamlessly connect data and processes. You’ll discover how effective data management forms the foundation for successful automation and the implementation of AI within organizations. Using practical examples, you’ll learn to design, manage, and optimize workflows so that tasks are automatically executed at the right point in the process. This allows you to increase efficiency, reduce the risk of errors, and lay a solid foundation for advanced integrations and future AI applications.
In this course, you’ll learn how to use Make to automate processes across a wide range of fields, including business operations, IT, data analysis, logistics, HR, government, education, and, of course, marketing. In a rapidly changing technological world, automation is no longer a luxury but an essential part of working efficiently and in a future-proof way.
Make enables you to minimize or fully automate repetitive and error-prone tasks. This creates space for analysis, creativity, and innovation. By building smart workflows, you ensure that data ends up in the right process and the right application at the right time.
The power of automation lies not only in time savings, but also in reliability and scalability. With Make, you can design complex workflows via a visual interface without in-depth programming knowledge. From simple links between applications to advanced integrations with logic, filters, and decision points: Make makes automation accessible to everyone, regardless of role or industry.
What makes automation truly interesting is its versatility. You can streamline processes ranging from data processing and reporting to notifications, approval workflows, and integrations with external systems. Automation is thus no longer the exclusive domain of IT departments, but a powerful tool for anyone who wants to work smarter.
What is Make Automation?
Automation means using technology to replace or support manual tasks, with the goal of increasing efficiency, accuracy, and continuity. This impacts virtually every sector: from manufacturing and logistics to administration, analysis, and decision-making.
With the rise of technologies such as artificial intelligence and machine learning, automation is becoming increasingly intelligent. Systems can not only perform tasks but also recognize patterns, support decision-making, and optimize processes. As a result, the role of humans shifts from that of an executor to a director.
An important part of modern automation is the smart use of data. Make enables the integration of various data sources—including geoinformation and other specialized datasets—into workflows. This supports better decision-making, more efficient processes, and new applications within organizations.
In the Make Automation Basics Course, you’ll learn how to use this technology as a foundation for innovation. You’ll develop skills to automate processes, manage complexity, and create new opportunities within your field.
The modern workplace is changing rapidly under the influence of automation and AI. These technologies help organizations become more productive, consistent, and agile. By reducing or eliminating bottlenecks in workflows, teams can focus on tasks with higher added value.
Automation supports planning, reporting, monitoring, and collaboration, among other things. As a result, roles within organizations are shifting, creating more room for strategic thinking and continuous improvement. At the same time, this development requires attention to topics such as data security, transparency, and ethics.
In this course, you’ll learn not only how Make works technically, but also how to apply automation responsibly and effectively within a modern organization.
What will you learn in the Make Automation Basics Course?
Automation basics and Make tutorials
You’ll be introduced to the core concepts of automation and how Make works. You’ll learn:
Set up and manage scenarios
Connecting applications and exchanging data
Working with filters, routers, and logic
Handling errors and optimizing workflows
The course includes practical tutorials where you’ll get started right away with familiar use cases.
Real-world examples and advanced features
After covering the basics, you’ll delve into Make’s more advanced capabilities:
Automating business and information processes
Integrations with over 1,000 apps and systems
Visually building complex workflows without code
Using AI services (such as OpenAI) within automations
You’ll learn how to adapt Make to your specific context and processes, regardless of industry or role.
Why choose our Make Automation Basics Course?
Practical: learn through realistic examples and hands-on exercises
Widely applicable: suitable for all fields and roles
Accessible: no programming knowledge required
Flexible: learn at your own pace
Support & community: help from instructors and fellow students
Certification: verifiable knowledge and skills
With this course, you’ll lay a solid foundation in workflow automation and data-driven work. You’ll develop skills that are immediately applicable and future-proof in an increasingly automated world.
Day 1 – Introduction to automation and working with Make
The first day is dedicated to understanding automation and getting to know Make as a workflow platform. We’ll start with an overview of what automation is, why it plays a key role in modern organizations, and how workflows help connect data and processes in a structured way.
Next, we’ll explore data flows and data management. You’ll learn how data moves through processes, the role of data quality, and why consistent data is essential for reliable automation. We’ll also examine the various types of data sources and applications that are often linked within workflows.
Afterward, participants will be introduced in detail to the Make environment. The interface, terminology, and basic concepts such as scenarios, modules, triggers, and actions will be explained step by step. Attention will be given to connecting applications, retrieving and passing data, and visually building workflows.
In the practical part of the day, you’ll get hands-on experience building simple scenarios. You’ll learn to map data between modules, use basic filters, and test your workflows. Attention is also given to error messages, logging, and verifying the operation of scenarios, so you understand what happens when an automation doesn’t proceed as expected.
Day 2 – In-depth exploration, more complex workflows, and smart automation
The second day builds on the foundation laid on Day 1 and focuses on designing more complex and robust workflows. We’ll start with workflow design and best practices: how to build clear, maintainable scenarios and how to avoid unnecessary complexity.
We then delve deeper into applying logic within Make. Topics such as routers, advanced filters, and conditions are covered, as well as processing multiple records with iterators, aggregators, and repeaters. You’ll learn how to transform, clean, and validate data within a workflow.
Attention will also be given to connecting multiple systems and working with APIs and external services. You’ll learn how Make acts as a connecting layer between different applications and data sources, regardless of the domain in which you work.
An important part of this day is the introduction of artificial intelligence within workflows. We’ll demonstrate how AI services, such as OpenAI, can be integrated into Make scenarios to analyze, enrich, or automatically process data.
Finally, we’ll cover topics related to the management and sustainability of automations, such as security, privacy, error handling, performance, and maintenance. The day consists of a mix of theory and hands-on practice, during which participants will work on realistic scenarios that combine multiple techniques.
Do participants understand the core principles of workflow automation and the role of data flows and data management within organization-wide processes?
Can participants independently set up, configure, and test automated workflows (scenarios) in Make, including linking multiple applications and data sources?
Are participants able to apply logic, filters, and data processing to make workflows robust, clear, and scalable?
Participants gain insight into the application of advanced integrations, including API connections and AI services, and understand how automation is deployed responsibly with a focus on management, security, and privacy.
Want to know more?
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
Frequently Asked Questions About Make.com Automation
In the Make Automation Course, we’ll dive into the world of Make (formerly Integromat) together to learn how to automate your daily tasks. Whether you’re just getting started or already have some experience, this course will help you create smart workflows that make your work a lot easier
Anyone looking to boost their workflow is welcome! Whether you’ve just graduated, have been working in the geospatial field for years, are considering a career change, or are part of a team looking to upgrade their skills, we have something for everyone.
Yes, workflow automation is essential if you want to use AI effectively. It ensures that data is structured, reliable, and automatically available for AI applications. By integrating AI into workflows, it becomes part of daily processes rather than a standalone tool. In addition, workflow automation makes AI scalable, manageable, and accountable within organizations.
By mastering Make, you’ll unlock a world of possibilities to make your work more efficient. Think of more time for the fun stuff, fewer mistakes, and an impressive toolkit for solving problems. Who wouldn’t want that?
Yes, our Make Automation Course covers both theoretical knowledge and practical exercises. Students will work on real-world projects to develop and refine their skills in designing and implementing automation workflows.
Zapier focuses primarily on simplicity and speed and is ideal for connecting commonly used cloud applications with clear, linear workflows. Make offers greater flexibility and visual control for more complex and data-driven processes. N8N is a more technical platform that is particularly well-suited for users who want more customization and prefer to manage their own hosting or configuration.
Request a quote
Search the website
Find courses, MOOC content, articles and more in one place.
