Tool or Technology
TT0144

Mastering Zapier

Advanced Automation, AI Agents & Enterprise Orchestration

Zapier
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in architecting complex end-to-end automation systems that connect business applications, data, AI, and human processes.
  • Build sophisticated workflows using triggers, actions, conditions, branching, loops, scheduling, webhooks, APIs, custom code, databases, and user-facing forms.
  • Design agentic automation using AI by Zapier with models, tools, knowledge sources, structured outputs, and controlled autonomous actions.
  • Extend automation beyond native integrations using Zapier MCP, API by Zapier, Code by Zapier, and private or custom integrations.
  • Establish enterprise automation standards covering testing, error handling, observability, security, permissions, governance, documentation, and lifecycle management.

Technology covered

ZapierZap WorkflowsZapier CopilotAI by ZapierZapier CanvasZapier TablesZapier FormsZapier ChatbotsZapier MCPFormatter by ZapierFilter by ZapierPaths by ZapierLooping by ZapierSchedule by ZapierDelay by ZapierWebhooks by ZapierAPI by ZapierCode by ZapierZapier Developer PlatformAssetsAudit Log & Enterprise Administration

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of business workflows and process automation
  • Familiarity with cloud applications such as CRM, email, spreadsheets, project management, or collaboration platforms
  • Basic knowledge of triggers, actions, conditions, and data mapping is recommended
  • Familiarity with Generative AI concepts is beneficial
  • Basic understanding of APIs, JSON, and webhooks is helpful for advanced integration modules
  • Python or JavaScript knowledge is beneficial for Code by Zapier modules but not required for the entire programme
  • Appropriate access to business applications used during hands-on activities is recommended
  • Some AI, MCP, API, enterprise governance, and advanced workflow capabilities may depend on Zapier plan and administrator configuration
  • Completion of shorter Zapier programmes is not required

TOC Modules

Concepts
  • Understanding Zapier as an AI-powered automation and orchestration platform
  • Understanding workflows, apps, data, AI, interfaces, and human steps as parts of an automation system
  • Understanding triggers, actions, assets, connections, and workflow execution
  • Differentiating deterministic automation from AI-driven decision making
  • Understanding automation suitability, limitations, and human accountability
Practical activities
  • Exploring the Zapier ecosystem and connected application architecture
  • Mapping an existing manual business process
  • Identifying automation opportunities, dependencies, risks, and approval points
  • Creating a high-level future-state automation architecture

Scenarios

Intelligent Lead Qualification & Sales Routing

Lead Form → Zapier Tables → Data Enrichment → AI by Zapier → Qualification Decision → CRM Search / Update → Paths → Sales Assignment → Personalized Communication → Follow-Up

Participants build an intelligent lead-management system that captures enquiries, enriches and analyses lead information, determines priority, routes opportunities to the appropriate sales team, and automates follow-up while maintaining controlled CRM updates.

Enterprise AI Service & Operations Hub

Employee / Customer Request → Form / Chatbot → AI by Zapier → Knowledge + Application Tools → MCP / API → Business System → Human Approval → Resolution → Table Update → Notification

Participants architect an end-to-end self-service system that combines conversational AI, enterprise knowledge, business applications, deterministic automation, and approval workflows to reduce repetitive operational work while preserving security and human oversight.

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