No-Code Agentic AI Automation: Building Smart Workflows with n8n, Make and Power Automate
Transform Enterprise Operations with Smart No-Code AI Workflows
Course Schedules
Training Course Overview
No-code agentic AI automation course strategies are transforming modern enterprise productivity. Agentic AI expands business automation by enabling AI agents to interpret requests, select appropriate tools, and carry out tasks within defined boundaries. Combining these advanced capabilities with visual workflow platforms helps organisations connect business applications, improve responsiveness, and significantly reduce manual effort.
This No-Code Agentic AI Automation training course equips participants with practical skills to design and build agentic workflows using n8n, Make, and Power Automate. Participants explore agent instructions, tool selection, contextual information, and human approvals through practical business exercises. The Microsoft component introduces Copilot Studio agents and their direct integration with automation flows.
The training course progresses systematically from initial process selection to working prototypes, testing, and implementation planning. Throughout the learning experience, strong emphasis is placed on reliable execution, controlled access, and measurable business outcomes.
Training Course Objectives
No-code agentic AI automation course objectives are structured to build end-to-end practical competencies in modern enterprise automation. Participants learn to transition from basic automated tasks to fully autonomous agentic systems.
By the end of this training course, participants will be able to:
- Distinguish between conventional automation, AI-assisted workflows, and agentic AI.
- Identify business activities suitable for agent-based automation.
- Design agent goals, instructions, tools, and operating boundaries.
- Build practical agentic workflows using visual automation platforms.
- Connect AI agents to business applications and relevant information.
- Incorporate human approvals, escalation, and exception handling.
- Evaluate agent accuracy, workflow reliability, and operating costs.
- Develop a practical implementation roadmap for their organisation.
Designed for
No-code agentic AI automation course materials are tailored for forward-thinking professionals driving operational efficiency. This training course is ideal for individuals seeking to construct intelligent AI agents using accessible visual tools.
This training course will benefit:
- Business analysts and process improvement professionals.
- Digital transformation and innovation teams.
- Operations managers and administrative professionals.
- IT teams and business application specialists.
- Customer service, HR, finance, and procurement professionals.
- Project managers responsible for automation initiatives.
- Professionals seeking to build AI agents through visual tools.
Learning Methods
No-code agentic AI automation course delivery combines instructor demonstrations, guided practical exercises, real-world business case studies, and collaborative workshops. Participants develop small agentic workflows across all three featured platforms before completing an intensive capstone prototype using their selected platform.
Practical exercises utilize realistic sample data, covering full agent configuration, application connections, approval checkpoints, and performance evaluation. To complete the experience, participants present their finished working prototype alongside a actionable 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 No-Code Agentic AI Automation: Building Smart Workflows with n8n, Make and Power Automate 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 No-Code Agentic AI Automation: Building Smart Workflows with n8n, Make and Power Automate 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 No-Code Agentic AI Automation: Building Smart Workflows with n8n, Make and Power Automate 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 No-Code Agentic AI Automation: Building Smart Workflows with n8n, Make and Power Automate 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 No-Code Agentic AI Automation: Building Smart Workflows with n8n, Make and Power Automate 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 No-Code Agentic AI Automation: Building Smart Workflows with n8n, Make and Power Automate 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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