n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents
No-Code Agentic AI Automation with n8n, Make & Power Automate
Course Schedules
Training Course Overview
No-code agentic AI automation course strategies are revolutionizing how modern organizations streamline daily operations and scale digital productivity. This n8n agentic AI training course equips participants with the core capabilities needed to transition from static, traditional tasks to fully dynamic and autonomous systems. By leveraging advanced visual platforms, teams learn how AI agents interpret complex requests, evaluate contextual information, choose appropriate tools, and execute end-to-end tasks within strictly defined operational parameters.
Throughout this comprehensive n8n and agentic AI course, learners systematically progress from initial process selection to building, testing, and deploying functional prototypes. Hands-on exercises guide participants through multi-platform integrations, ensuring robust cross-system connectivity and improved organizational responsiveness. Highlighting practical implementation, the curriculum emphasizes controlled system access, reliable execution, human approval integration, and clear business value metrics
Training Course Objectives
The no-code agentic AI automation course objectives focus on building practical, end-to-end competencies for modern enterprise automation initiatives. Participants develop actionable skills to seamlessly transition from basic, rule-based workflows to fully autonomous, intelligent systems.
By the end of this n8n agentic AI training course, participants will be able to:
- Distinguish between conventional automation, AI-assisted workflows, and autonomous agentic systems.
- Identify high-value business processes and activities suitable for agent-based automation.
- Design clear agent goals, explicit instructions, tool permissions, and operational boundaries.
- Build practical agentic workflows across industry-leading visual automation platforms.
- Connect intelligent AI agents to core business applications and relevant contextual databases.
- Incorporate human approval checkpoints, escalation pathways, and exception handling protocols.
- Evaluate AI agent accuracy, workflow execution reliability, and overall operating costs.
- Formulate a clear, actionable implementation roadmap tailored to organizational priorities.
Designed for
This no-code agentic AI automation course is specifically designed for forward-thinking professionals dedicated to accelerating operational efficiency through technology. It provides immense value for practitioners eager to build autonomous AI agents using flexible, accessible visual tools.
This n8n and agentic AI course will benefit:
- Business analysts and process improvement specialists driving digital efficiency.
- Digital transformation officers and innovation leaders scaling intelligent systems.
- Operations managers and administrative professionals streamlining routine workflows.
- IT teams and enterprise application specialists managing system integrations.
- Customer service, HR, finance, and procurement professionals automating department tasks.
- Project managers tasked with leading organizational automation initiatives.
- Technology professionals seeking hands-on skills in visual AI agent creation.
Learning Methods
The no-code agentic AI automation course employs an engaging, practical learning strategy combining expert-led demonstrations, guided exercises, real-world case studies, and interactive workshops. Participants build functional agentic workflows across multiple leading platforms before executing a comprehensive capstone project on their chosen system.
Hands-on lab modules use real-world enterprise sample datasets to practice agent configuration, platform application links, approval gateways, and execution performance tracking. During this n8n agentic AI training course, attendees systematically test agentic decision-making, optimize tool selection, and resolve unexpected execution scenarios. The learning experience culminates in a collaborative workshop where participants present a fully working agent prototype along with a customized, actionable 90-day implementation plan.
Course Content
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
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
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
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
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
The Certificate
- Anderson Certificate of Completion for delegates who attend and complete the training course
In Partnership With
Learn more about this course
The course is suitable for mechanical maintenance engineers, reliability engineers, maintenance technicians, field service engineers, plant operators, production supervisors, condition monitoring specialists, and technical personnel responsible for industrial hydraulic machinery and fluid power equipment.
Yes. Participants who successfully complete the n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course will receive a Anderson Certificate of Completion, demonstrating their commitment to professional development and continuous learning. This certificate provides formal recognition of the knowledge and skills gained during the course and can support professional growth and career progression.
Yes. The n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course can be customised and delivered exclusively for organisations seeking a tailored learning solution. Course content can be adapted to address specific business objectives, operational challenges, industry requirements, and organisational priorities. Customised training allows teams to focus on the topics most relevant to their roles while supporting wider organisational development goals.
Participants attending the n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course gain access to valuable industry insights, practical techniques, and internationally recognised best practices. The course helps professionals improve performance, strengthen confidence, broaden their perspective, and develop skills that contribute to both personal and organisational success. It also provides an excellent opportunity to exchange ideas and experiences with professionals from diverse sectors and backgrounds.
No. The n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course is open to professionals from a wide range of backgrounds and experience levels. The course content is structured to provide value to both those who are new to the subject and experienced practitioners seeking to deepen their expertise. While some prior knowledge may enhance understanding of certain concepts, it is not a requirement for participation
The n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course combines practical knowledge, current industry practices, and expert guidance to create a highly relevant learning experience. Rather than focusing solely on theory, the course emphasises practical application, enabling participants to develop skills and approaches that can be implemented directly within their organisations. This balance of knowledge and practical relevance helps participants achieve meaningful and lasting professional impact.
The n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course uses a variety of learning approaches to maximise participant engagement and knowledge retention. These may include expert-led presentations, practical exercises, case studies, group discussions, scenario-based activities, and collaborative learning opportunities. This approach encourages active participation and helps participants translate learning into practical workplace results.
Yes. Industrial hydraulic systems are widely used across manufacturing plants, process facilities, heavy machinery, marine operations, utilities, and other industrial environments. The principles covered are relevant to professionals responsible for operating, maintaining, inspecting, or troubleshooting hydraulic equipment across a broad range of applications.
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