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Coursera

Building AI Agents with DeepSeek using Make.com

Board Infinity via Coursera

Overview

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Build smart, AI-driven automations without writing code. In this hands-on course, you'll learn to create intelligent workflows using Make.com’s visual platform and DeepSeek’s powerful language models. From auto-responding to emails to classifying messages and logging data, you'll apply real-world solutions that save time and increase efficiency. We’ll begin with the first module, where you’ll explore the basics of workflow automation, understand key concepts, and get comfortable with Make.com’s interface through a real-world case study. The next module, the second module, covers how to design AI-enhanced workflows—connecting DeepSeek to classify content, generate text, and build logic-driven flows. In the third module, you'll create a smart email routing system using Gmail, Google Sheets, and DeepSeek to dynamically respond to incoming emails. In the final module, you’ll learn to log workflow data, manage errors, and deploy your automations with confidence. By the end, you will... -Build AI-powered email automation using Make.com, DeepSeek, Gmail, and Google Sheets to classify and respond to user messages. -Create intelligent workflows with LLMs by configuring triggers, filters, prompt engineering, and task-specific DeepSeek modules. -Design real-world automation pipelines by integrating case-driven AI logic with hands-on Make.com components and APIs. This course is ideal for... -No-code builders and automation enthusiasts -Product and operations professionals -Solopreneurs and startup teams -AI/ML users exploring automation use cases Bring your ideas to life—no code, just smart automation! Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Deepseek and Make or any of its subsidiaries or affiliates. This course is not an official preparation material of Deepseek and Make. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.

Syllabus

  • Introduction to Workflow Automation and Make.com
    • This module provides a foundational understanding of no-code automation using Make.com. It introduces learners to the concept of workflow automation, the capabilities of the Make.com platform, and how to think systematically about automating repetitive tasks. Tailored for developers and technically curious professionals, the focus is on grasping the visual interface of Make.com, understanding basic scenario logic, and preparing for intelligent integrations with language models like DeepSeek. Learners will explore how to set up their first Make.com workflows, connect popular apps, use triggers and actions, and manage data flow within scenarios. This module lays the groundwork for building robust, logic-driven automation pipelines that can be extended and scaled in real-world applications.
  • Designing AI-Enhanced Automations in Make.com
    • Designing AI-Enhanced Automations in Make.com equips learners with the skills to build intelligent workflows by integrating Make.com with large language models like DeepSeek. This module focuses on transforming static automations into adaptive, context-aware processes capable of interpreting inputs, generating outputs, and making decisions using AI. Learners will explore how to design workflows that leverage language model capabilities for tasks such as content summarization, classification, email response generation, and intelligent routing. Through hands-on scenarios and real-world examples, this module introduces best practices for invoking LLMs, structuring prompts, handling dynamic data inputs, and chaining automation logic. By the end of this module, learners will be ready to build AI-powered workflows that reduce manual effort and increase operational intelligence.
  • Intelligent Email Routing Using DeepSeek
    • Intelligent Email Routing Using DeepSeek focuses on leveraging large language models to automate and streamline email handling workflows. In this module, learners will discover how to analyze incoming email content using DeepSeek to classify messages, extract key details, and determine appropriate routing paths based on intent, urgency, and content relevance. By integrating DeepSeek within Make.com workflows, learners will create intelligent automations that reduce response time and eliminate manual triage. With practical use cases, this module walks through setting up email triggers, processing content through DeepSeek for semantic understanding, and dynamically routing emails to the right team or tool. By the end, learners will have a working automation pipeline capable of intelligent email classification and action.
  • Data Logging, Error Management, and Deployment
    • This module wraps up the automation journey by focusing on the finalization, reliability, and deployment of Make.com workflows. Learners will explore how to design robust workflows that log essential data, such as email activity, directly into tools like Google Sheets—ensuring visibility and traceability. The module delves into comprehensive error management strategies, helping learners understand how to handle failures, set up rollbacks, and build custom error handlers that keep automations running smoothly without manual intervention. It also covers techniques for end-to-end testing, monitoring, and workflow optimization to ensure operational excellence. Finally, the deployment process is simplified with practical steps for moving workflows from development to a live environment with confidence. By the end of this module, learners will be equipped to deliver stable, maintainable, and production-ready automation solutions using Make.com.

Taught by

Board Infinity and Mirza Rahim Baig

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