A Professional Training Course On:

n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents

No-Code Agentic AI Automation: Building Smart Workflows with n8n, Make and Power Automate

Course Schedule

About This n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents Training Course

The rapid evolution of corporate infrastructure demands a transition from static, rule-bound task automation to adaptive, cognitive-driven operational architectures. Modern enterprise efficiency relies on integrating sophisticated reasoning frameworks with low-code and visual orchestration environments. This convergence allows organisations to build autonomous digital agents capable of processing unstructured data streams, applying context-aware logic, and initiating complex operations across legacy and cloud software ecosystems without ongoing manual intervention. Emphasising operational speed, error reduction, and resource optimisation, this strategic dynamic enables executive teams to scale enterprise capabilities while redirecting human expertise toward high-value strategic initiatives.

This advanced executive training course delivers comprehensive expertise in constructing, governing, and scaling autonomous digital workflows across leading orchestration environments, including n8n, Make, and Microsoft Power Automate alongside Copilot Studio. Strategic leaders and technical orchestrators will progress systematically from foundational agentic concepts to engineering resilient enterprise assistants featuring tool execution capabilities, context retrieval mechanisms, and automated exception routing protocols. Thorough attention is given to establishing enterprise governance standards, embedding robust human oversight mechanisms, maintaining operational safety boundaries, and measuring tangible return on investment across multi-platform deployments.

n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course equips organisations with the governance frameworks and architectural principles required to deploy resilient, cognitive enterprise automations safely.

Expected Outcomes

Completing the n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course empowers leaders and technical architects to drive meaningful operational transformation across their organisations through the deployment of high-performing autonomous workflows:

Distinguish Operational Paradigms: Establish clear technical distinctions between deterministic automated sequences, conversational interface layers, and self-directing autonomous digital agents.
Prioritise High-Value Automations: Identify, evaluate, and rank candidate business operations for autonomous deployment based on strategic ROI, governance requirements, and operational risk.
Design Secure Agent Architectures: Formulate precise system instructions, operational boundary rules, and secure credential access configurations for digital assistants.
Deploy Cross-Platform Orchestrations: Engineer robust, end-to-end intelligent workflows utilizing n8n, Make, and Microsoft Power Automate visual design frameworks.
Integrate Enterprise Data Systems: Connect intelligent agents with central enterprise software applications, structured databases, and dynamic operational context sources.
Embed Escalation Protocols: Implement human-in-the-loop validation checkpoints, exception handling workflows, and automated fallback pathways.
Establish Governance Standards: Deploy monitoring protocols to evaluate execution accuracy, system stability, security parameters, and processing costs.

This Course is Best For

The n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course delivers immediate strategic value to technical leaders, enterprise architects, and operational managers responsible for steering digital transformation initiatives:

Chief Technology Officers and IT Directors
Heads of Digital Transformation and Corporate Strategy
Operations Directors and Continuous Improvement Managers
Enterprise Systems Architects and Solutions Engineers
Lead Business Analysts and Automation Specialists
Senior Product Managers and Innovation Leads

Training Method

Delivered through direct expert instruction, interactive architectural reviews, and guided technical execution, this training course bridges the gap between high-level strategy and operational deployment. Delegates analyze realistic business scenarios to design, configure, and refine autonomous digital agents within n8n, Make, and Microsoft Power Automate ecosystems.

Practical focus centers on configuring memory retention systems, mapping data pathways across diverse applications, setting operational boundaries, and implementing robust oversight protocols. Collaborative discussions and structured peer exchanges ensure that every delegate builds a working prototype alongside an actionable execution roadmap tailored to their organisation's immediate priorities.

Course Outline

Day 1:Foundations of No-Code Agentic AI Automation

Understanding generative AI, AI agents and agentic workflows
Recognising when fixed workflows or agent-based approaches are appropriate
Selecting use cases by business value, complexity and risk
Defining agent goals, responsibilities and permitted actions
Mapping inputs, application tools, decisions and expected outcomes
Comparing n8n, Make and the Microsoft automation ecosystem
Writing clear agent instructions and task completion criteria
Workshop: Designing an agent-assisted business process

Day 2:Building AI Agents and Workflows with n8n

Exploring the visual editor and configuring workflow entry points
Connecting an AI Agent node to a language model and approved tools
Writing instructions that guide tool selection and task execution
Introducing conversational memory and managing session context
Providing access to relevant business information
Combining agent decisions with validation and conditional routing
Testing tool calls, incomplete requests and unsuccessful executions
Practical exercise: Building an enquiry-handling agent with controlled actions

Day 3:Creating Agentic Business Workflows with Make

Exploring Make scenarios and AI agent configuration
Defining an agent’s purpose, instructions and available tools
Connecting business applications through reusable scenarios
Mapping information between agent requests and application actions
Supplying contextual information for more relevant responses
Combining AI agent activity with filters and routing rules
Reviewing execution results, exceptions and resource consumption
Practical exercise: Building a service-request agent that retrieves information and prepares follow-up actions

Day 4:Agentic Automation with Power Automate and Copilot Studio

Understanding the relationship between agents, agent flows and cloud flows
Defining a business agent and its instructions in Copilot Studio
Connecting agents to Power Automate actions and business services
Designing flow inputs and outputs for agent tool use
Integrating Microsoft 365 information and business records
Introducing approval checkpoints before consequential actions
Managing connections, access permissions and execution failures
Practical exercise: Building an agent-assisted request and approval process

Day 5:Testing, Governing and Implementing Agentic Workflows

Creating test cases for routine, ambiguous and unexpected requests
Evaluating task completion, tool selection and output accuracy
Applying access boundaries and protecting sensitive information
Addressing prompt injection and unsafe instructions in external content
Setting execution limits, escalation rules and recovery procedures
Measuring processing time, intervention rates and cost per task
Capstone workshop: Demonstrating and evaluating an agentic workflow
Developing a 90-day implementation and improvement roadmap

Certificate

Upon successful completion of this n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course, delegates will receive a 360 Leaders Training Certificate of Completion. Participants will earn between 25 and 30 credits, based on their recorded attendance throughout the training course.

Each Guided Learning Hour represents 60 minutes of attendance, with attendance records maintained under our ISO 9001:2015-certified quality management system.

This Course is Best For

Chief Technology Officers and IT Directors
Heads of Digital Transformation and Corporate Strategy
Operations Directors and Continuous Improvement Managers
Enterprise Systems Architects and Solutions Engineers
Lead Business Analysts and Automation Specialists
Senior Product Managers and Innovation Leads

Training Method

Related Training Subjects:

Leadership & Management Artificial Intelligence (AI)

Would you like to take this course as a team?

n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents FAQs

Delegates will gain direct experience in designing, building, and deploying cognitive workflows across n8n, Make, and Copilot Studio. You will learn to configure dynamic tool calls, integrate contextual enterprise data, set strict security boundaries, and construct robust human-in-the-loop approval systems to ensure execution accuracy.

By learning to transition from rigid, rule-based automations to autonomous agentic workflows, your organisation can reduce manual operational bottlenecks, accelerate process completion times, lower execution costs, and ensure strict governance across all digital transformations.

Participants leave with functional agent prototypes and a tailored 90-day implementation roadmap. This enables technical and operational leaders to immediately audit existing workflows, identify prime candidates for agentic automation, and deploy secure digital assistants into production environments.

No extensive programming background is required. The focus is placed on visual orchestration environments, drag-and-drop workflows, and low-code platforms. A solid understanding of enterprise processes, basic technical logic, and digital systems integration is sufficient to maximize value from the material.

Mastering agentic architecture and autonomous workflow governance positions leaders at the forefront of digital operations. These competencies are essential for professionals driving enterprise transformation, technology strategy, and operational excellence in modern, data-driven organisations.

Yes, all delegates receive comprehensive documentation, practical guides, configuration templates, and evaluation frameworks designed to support post-course workflow deployment, risk management, and governance implementation within their respective organisations.