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Coursera

Operationalizing No-Code AI with Zapier - Automation & Plans

Board Infinity via Coursera

Overview

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"Master AI-powered business automation using Zapier, Power Automate, Make, Notion AI, and Copilot Studio. This advanced course equips you to design, build, optimize, and scale no-code AI workflows across your organization. In Module 1, you'll explore AI automation foundations, compare platforms, and map business processes into workflow diagrams. Module 2 takes you deeper into building multi-step automated workflows with triggers, conditions, AI model integration, and end-to-end pipelines. Module 3 focuses on optimization techniques, AI agent design, and performance monitoring using KPIs and diagnostic tools. Module 4 prepares you to scale automation enterprise-wide with governance frameworks, compliance controls, team rollout strategies, and a 90-day automation roadmap. By the end of this course, you will: - Design and map AI-enhanced automation workflows using no-code platforms - Build multi-step pipelines integrating AI models, triggers, and conditional logic - Optimize workflow performance and deploy AI agents for multi-step decisioning - Scale automation across teams with governance, compliance, and strategic roadmaps" Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Syllabus

  • Introduction to AI Automation and Workflow Design
    • Learners explore how no-code automation integrates with AI to build scalable workflows. They analyze business processes and produce workflow diagrams that outline triggers, actions, conditions, data paths, and AI decisions.
  • Building Multi-Step Automated Workflows
    • Learners build complete automated AI workflows using triggers, routing, conditions, and AI models built in Course 2. Includes multi-system pipelines and data-flow execution.
  • Optimization, AI Agents and Performance Improvement
    • Learners optimize cost, speed, and accuracy, implement AI agents, and analyze performance using logs, metrics, and diagnostics.
  • Scaling AI Automation Across the Organization
    • Learners apply governance, compliance, security, documentation, and scaling practices to roll out automation across teams with enterprise readiness.

Taught by

Board Infinity

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