Tool or Technology
TT0148

Mastering Make.com

Advanced Automation, AI Agents & Enterprise Orchestration

Make.com
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in architecting complex multi-application automation using Make scenarios, advanced routing, data transformation, APIs, webhooks, reusable subscenarios, and structured data processing.
  • Build reliable automation systems using error handlers, incomplete executions, sequential processing, retry strategies, logging, validation, and operational monitoring.
  • Design intelligent and agentic workflows using Make AI Agents with instructions, knowledge, tools, scenarios, MCP servers, and human-controlled actions.
  • Extend Make beyond standard integrations using HTTP, APIs, custom functions, Make MCP Server, Make API, and Custom Apps.
  • Establish enterprise automation standards covering modular architecture, permissions, credentials, observability, governance, maintainability, and scalable automation operations.

Technology covered

Make.comScenariosMake AI Agents (New)Make GridRoutersFiltersIteratorsAggregatorsData StoresScenario Inputs & OutputsSubscenariosWebhooksHTTPJSONVariablesError HandlersCustom FunctionsMake APIMake MCP Server & Make Custom Apps

Who should attend

  • Automation Engineers
  • Business Process Automation Professionals
  • Business Analysts
  • Operations & Process Excellence Professionals
  • Digital Transformation Professionals
  • RevOps & Sales Operations Teams
  • Marketing Operations Professionals
  • HR Operations Professionals
  • Finance Operations Professionals
  • Customer Success Operations Teams
  • IT & Service Operations Professionals
  • Integration Developers
  • Solution Architects
  • No-Code / Low-Code Developers
  • Enterprise AI & Automation Teams

Prerequisites & Participant Readiness

  • Basic understanding of workflow automation and business processes
  • Familiarity with triggers, actions, filters, and data mapping is recommended
  • Experience with cloud applications such as CRM, email, spreadsheets, databases, or collaboration tools is beneficial
  • Basic understanding of APIs, JSON, HTTP, and webhooks is useful
  • Familiarity with Generative AI concepts is recommended for Agent modules
  • JavaScript knowledge is beneficial for Custom Functions but not mandatory for the overall programme
  • Appropriate access to applications used during hands-on activities is recommended
  • Some AI Agent, Grid, Custom Function, administration, and governance capabilities may depend on plan or feature availability
  • Completion of shorter Make.com programmes is not required

TOC Modules

Concepts
  • Understanding Make's visual automation and orchestration architecture
  • Understanding scenarios, modules, connections, bundles, operations, and executions
  • Understanding event-driven versus scheduled automation
  • Understanding deterministic workflows versus agentic workflows
  • Understanding automation boundaries and human responsibilities
Practical activities
  • Mapping a complex manual business process
  • Identifying systems, data, decisions, exceptions, and approvals
  • Building a multi-application automation architecture
  • Comparing manual, automated, and AI-driven process stages

Scenarios

Intelligent Lead Research & Sales Operations

Lead Source → Webhook → Data Validation → CRM / External APIs → Make AI Agent → Research & Qualification → Router → CRM Update → Sales Assignment → Personalized Follow-Up → Monitoring

Participants design an intelligent lead-processing workflow that combines deterministic data operations with AI reasoning to enrich, qualify, prioritise, route, and update opportunities while retaining controlled business-system actions.

Enterprise AI Operations Orchestrator

Employee / Business Request → Make AI Agent → Knowledge → Scenario Tool / MCP Tool → Enterprise Applications → Subscenarios → Human Approval → Business Action → Error Handling → Audit & Monitoring

Participants architect a modular agentic operations system in which an AI Agent determines appropriate actions, calls governed reusable workflows and external tools, executes approved business processes, and handles failures through production-grade recovery controls.

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