Why Choose No-Code Agentic AI Automation: Building Smart Workflows with n8n, Make and Power Automate Training Course?
Agentic AI expands business automation by enabling AI agents to interpret requests, select appropriate tools and carry out tasks within defined boundaries. Combining these capabilities with visual workflow platforms helps organisations connect business applications, improve responsiveness and 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 business exercises. The Microsoft component introduces Copilot Studio agents and their integration with automation flows. The course progresses from process selection to working prototypes, testing and implementation planning. Emphasis is placed on reliable execution, controlled access and measurable business outcomes.
What are the Goals?
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
Who is this Training Course for?
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
How will this Training Course be Presented?
The course combines instructor demonstrations, guided practical exercises, business case studies and collaborative workshops. Participants develop small agentic workflows across the three platforms, then complete a capstone prototype using a selected platform. Exercises use sample data and cover agent configuration, application connections, approval checkpoints and performance evaluation. Participants present their completed prototype alongside an implementation plan.
The Course Content
- 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
- 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
- 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
- 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
- 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
- AZTech Certificate of Completion for delegates who attend and complete the training course
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