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n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents

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

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Why Choose Us

The n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course equips professionals with advanced expertise in intelligent enterprise automation. It addresses the limitations traditional deterministic workflows often face when managing complex, non-linear business operations as organisations expand. Participants learn to develop agentic AI systems that make autonomous decisions, execute tools and route tasks dynamically within strict enterprise boundaries. The course connects low-code platforms with advanced artificial intelligence to create resilient automations across n8n, Make and Microsoft Power Automate.

Adopting agentic workflows can substantially shorten operational response times, reduce repetitive manual work and improve overall service delivery. Guided practical modules examine prompt engineering for autonomous tools, contextual memory management and robust human-in-the-loop approval frameworks. Learners progress from core design principles to functional prototypes, gaining actionable skills and controlled execution models for workplace application. They also develop a structured implementation strategy designed to deliver measurable business return on investment.

This n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course will highlight:

  • Designing intelligent automation for complex, non-linear enterprise operations
  • Enabling autonomous decisions, tool execution and dynamic task routing within strict boundaries
  • Building resilient automations across n8n, Make and Microsoft Power Automate
  • Accelerating operational responses, reducing manual work and improving service delivery
  • Applying prompt engineering, contextual memory management and human-in-the-loop approvals
  • Progressing from core design principles to functional prototypes and structured implementation strategies
Why Choose n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents
Course Goals

What are the Goals?

This practical course provides participants with the strategic understanding and technical capabilities required to create, implement, and oversee intelligent autonomous agents across enterprise workflow ecosystems.

Upon completing this training course, participants will be able to:

  • Differentiate conventional automation from AI-supported workflows and autonomous agentic AI
  • Recognize high-value business processes appropriate for agent-based automation initiatives
  • Define clear agent objectives, behavioral directives, tool sets, and operating limits
  • Develop practical agentic workflows with visual automation platforms such as n8n, Make, and Power Automate
  • Securely integrate AI agents with enterprise software applications and contextual data sources
  • Embed human approvals, escalation routes, and error-handling mechanisms
  • Assess the accuracy of agent responses, the reliability of platform execution, and continuing operational costs
  • Create a practical 90-day implementation roadmap aligned with organizational objectives

Who is this Training Course for?

Who Should Attend?

This n8n and Agentic AI: Building Intelligent Workflows and Autonomous Agents training course is designed for:

  • AI Engineers
  • Automation Engineers
  • Workflow Automation Developers
  • Software Developers
  • Integration Developers
  • Machine Learning Engineers
  • Data Engineers
  • Solutions Architects
  • DevOps Engineers
  • Intelligent Automation Consultants
Learning Approach

How will this Training Course be Presented?

This training course uses an interactive, practice-focused approach intended to maximize the retention of practical skills. Participants take part in instructor-guided demonstrations, business case studies, and collaborative problem-solving workshops across several visual platforms.

During the session, learners will create functional automations before developing a complete capstone agentic prototype using their selected platform.

Principal Learning Features:

  • Practical exercises using realistic enterprise datasets
  • Detailed, step-by-step instruction on agent configuration and API application tools
  • Interactive development of human approval checkpoints and safety boundaries
  • Team presentations and peer assessments of finished prototype solutions

Through the combination of foundational theory and practical development, participants acquire the confidence and hands-on experience required to deploy production-ready AI workflows immediately within their organizations.

The 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
Recognition

Certificate

  • • Wallstreet Development Academy Certificate of Completion for delegates who attend and complete the training course.

Frequently Asked Questions

You will focus on building intelligent workflows and autonomous agents through no-code agentic AI automation. The course specifically centres on n8n, with Make and Power Automate also named as workflow automation tools. More detailed learning objectives cannot be verified because no course overview or module breakdown was provided.
Yes, the course is explicitly presented as no-code agentic AI automation training. It focuses on building smart workflows using n8n, Make and Power Automate rather than describing a conventional software-development course. Any coding requirements or technical prerequisites cannot be confirmed from the supplied course information.
Yes, autonomous agents are one of the two main building areas identified in the course title, alongside intelligent workflows. The training connects autonomous agent development with no-code agentic AI automation and workflow platforms. The precise agent capabilities, tools or design methods taught cannot be verified from the information provided.
It combines agentic AI, autonomous agents and intelligent workflow building in one course focus. It also addresses three named no-code automation platforms: n8n, Make and Power Automate. This makes the subject directly relevant to professionals investigating agent-based workflow automation, although claims about specific outcomes or advanced capabilities cannot be verified from the supplied content.
The course covers n8n, Make and Power Automate. Its title places particular emphasis on using n8n to build intelligent workflows and autonomous agents. The available course information does not specify how much time or depth is allocated to each platform.
Yes, building intelligent and smart workflows is a stated focus of the training. Participants are introduced to this area through n8n, Make and Power Automate within a no-code automation context. Specific workflow examples, exercises or business scenarios are not listed in the available material.
The course is designed to build skills in creating smart workflows and autonomous agents with widely identified automation platforms. These skills are relevant to professionals exploring how no-code tools can support intelligent workflow automation in their organisations. However, the live page content supplied does not identify specific departments, job roles or workplace use cases.
If you would like further information about this training course, our team is available to provide professional guidance and support: Email: [email protected] In-house training: https://www.wallstreetda.com/in-house-training

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