Make from beginner to pro - AI Automations and AI agents
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Unclaimed ProfileAspiring automation specialists, operations managers, and digital marketers are finding immense value in this comprehensive guide to mastering Make (formerly Integromat). Created by marketing automation and HubSpot expert Thalita Milan, this course bridges the gap between basic task automation and advanced AI agent deployment without requiring a background in software development. Learners dive deep into Make’s foundational data structures, mastering complex concepts like bundles, arrays, collections, and JSON parsing to build robust, error-free workflows. The curriculum guides students from setting up simple trigger-and-action scenarios to designing sophisticated control flows using advanced conditional logic. What sets this course apart is its practical approach to integrating artificial intelligence. Students learn to connect powerful LLMs like OpenAI directly into their Make scenarios, creating autonomous AI agents capable of lead qualification, market research, and automated content generation. Whether you are looking to optimize your business operations, offer high-ticket freelance automation services, or streamline marketing pipelines, this course provides the practical, real-world blueprints needed to transition from a complete beginner to a confident AI automation architect.
About the creator
Thalita Milan | Marketing Automation & HubSpot expert
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Reviews
Thalita Milan is a seasoned Marketing Automation and HubSpot expert who bridges the gap between complex digital marketing ecosystems and cutting-edge artificial intelligence. With a rich history of building automated sales funnels, configuring CRM systems, and designing end-to-end operational workflows, Thalita helps businesses scale their marketing efforts without losing the human touch. Her teaching philosophy centers on immediate, actionable implementation. Rather than drowning learners in theoretical frameworks, Thalita focuses on hands-on creation—guiding students to build fully functioning AI agents, implement zero-code automated workflows, and construct dynamic sales funnels in real-time. By integrating advanced generative tools like ChatGPT and Claude into…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Understand Make’s data structure: bundles, arrays, collections, and JSON parsing
- Build your first automation from scratch using triggers, actions, and conditions
- Use control flows (like IF/AND/OR logic) to customize workflows
- Connect AI tools like OpenAI to Make for intelligent workflows
- Build simple AI agents for tasks like lead qualification, research and more
- Identify automation opportunities in your own work or client projects
- Apply automation and AI concepts to real-life use cases in business, freelancing, and operations
- Build AI automations from scratch to handle marketing, sales, and ops tasks
Best For
- Digital marketers and operations managers looking to eliminate repetitive manual workflows.
- Freelancers wanting to offer high-value AI automation implementation services to clients.
- Business owners aiming to integrate LLMs like OpenAI directly into their operational pipelines.
- Non-technical professionals who want to master data parsing and workflow logic without coding.
Not For
- Software engineers looking for advanced backend coding tutorials rather than low-code platform training.
- Individuals seeking purely theoretical knowledge of AI without practical implementation tasks.
- Advanced Make users already proficient in building complex, API-integrated AI agents and custom JSON structures.
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