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Designing AI Agents with Google Opal & n8n

HomeEventsWorkshopsDesigning AI Agents with Google Opal & n8n

A Practical Executive Workshop

AI is no longer just about automation.
It is about building systems that can interpret context, make decisions, and adapt dynamically.

This invite-only executive workshop explores how to design AI agents using two distinct no-code approaches:

  • AI-first orchestration with Google Opal
  • Workflow-first architecture using n8n

Through a structured, architecture-led format, participants will understand how agentic systems work, how they differ from traditional automation, and how to apply them in real enterprise scenarios.

This is not a technical deep dive.
It is a design-thinking session for leaders shaping AI strategy and implementation.

Workshop Highlights

  • Clear executive understanding of Agentic AI
  • Practical comparison: AI-first vs workflow-first systems
  • Hands-on workflow design (no coding required)
  • Real-world productivity and business automation use cases
  • Governance, integration, and scalability insights
  • Structured design frameworks you can apply internally
Date
Event Date 24th Mar, 2026
Time
Event Time 4:30 AM - 8:30 AM EDT
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Why You Shouldn’t Miss This Workshop

Many organizations are experimenting with AI tools. Few are designing intelligent systems intentionally. If you are:
  • Leading digital transformation initiatives
  • Evaluating workflow or AI platforms
  • Looking to move beyond rule-based automation
  • Concerned about scalability and governance
  • Exploring where AI reasoning truly adds value
This workshop provides clarity. You will leave with:
  • A framework to differentiate automation, AI workflows, and agentic systems
  • A decision model for selecting the right architectural approach
  • Blueprint-level understanding of intelligent workflow design
  • Practical ideas ready to pilot within your organization
This session bridges strategy and execution, without technical complexity.

Who Should Attend?

This executive workshop is curated for:
  • Digital & Transformation Leaders
  • Enterprise Architects
  • Innovation & Strategy Heads
  • Automation & Process Excellence Leaders
  • Product & Operations Decision-Makers
  • AI Adoption Champions
No coding experience required. Strategic decision-makers welcome.

This session will cover the following topics:

Module 1: Introduction to Agentic AI Using No-Code Tools
  • What Agentic AI means (agents, goals, tools, decisions, feedback loops)
  • Automation vs AI workflows vs agentic workflows
  • Positioning AI-first and workflow-first systems
  • Identifying tasks requiring rules vs reasoning
Module 2: Google Opal & n8n – Core Building Blocks
  • Prompt-based workflow creation in Google Opal
  • Node-based workflow creation in n8n
  • Handling triggers, actions, and decisions
  • Implicit vs explicit reasoning models
  • Designing simple workflows in both tools
Module 3: Use Case Theme 1 – Personal & Knowledge Productivity
  • AI-driven information gathering
  • Handling unstructured content
  • Context-based decision making
  • Output generation and smart notifications
Module 4: Use Case Theme 2 - Business Process Automation
  • Structured input handling (forms, tickets, requests)
  • Validation and classification logic
  • Routing and escalation design
  • Human-in-the-loop orchestration
Module 5: Integrations, Extensibility & System Thinking
  • External tool integrations
  • API-based vs native connectors
  • Authentication and security boundaries
  • Scalability and governance considerations
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Exclusive Invite-Only Workshop

Participation in this event is by invitation only.
For more details or to request an invite, please reach out to us at events@cognixia.com

Duration

4 Hours
Exclusive Bonus for Attendees

Participants will receive an Official Certificate of Participation after the webinar.

Event Certy Sample


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Cognixia partners with global enterprises to build AI-ready workforces through outcome-driven upskilling and transformation programs. Our AI-first approach helps organizations scale capabilities across GenAI, data, cloud, and digital engineering-moving teams from awareness to execution with measurable business impact.

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