When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Introduction to Agentic AI for Business Users (n8n)
Build no-code agentic AI workflows for business automation and collaboration through n8n. Agentic AI foundations cover what agentic AI is, how it differs from other AI techniques, and the...
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$1,665USD
Duration
2 days
Course Code
GAI-2002
Available Formats
Classroom
Overview
Course Description
Build no-code agentic AI workflows for business automation and collaboration through n8n. Agentic AI foundations cover what agentic AI is, how it differs from other AI techniques, and the collaboration and automation use cases that show up in business contexts. The components of an AI agent cover foundation models, model selection, working and episodic memory, and the OODA decision pattern. Tool use and MCP servers cover observation versus action tools, direct and indirect tool-use methods, and integrating MCP servers for shared capabilities. Building agentic applications, designing collaborative agents, and the ethics and security of agentic AI cover task decomposition, multi-agent systems, automation versus human collaboration, fairness, transparency, accountability, security threats, and excessive-agency risks. Hands-on labs on the n8n platform produce working agents, human-in-the-loop workflows, and an excessive-agency risk audit. The course is designed for business users learning to apply agentic AI in their organization.
Skills Gained
By the end of this course, participants will be able to:
- Define agentic AI as distinct from other AI techniques
- Describe the components of an AI agent (model, memory, tools, OODA loop)
- Configure best practices for designing and implementing AI agents
- Build basic AI agents for automation and human collaboration in n8n
- Identify key ethical and security risks of agentic AI
Who Can Benefit
This course is designed for:
- Anyone interested in learning basic Agentic AI principles and how to apply them in their organization
Prerequisites
Participants should enter this course with:
- Familiarity with basic Generative AI concepts such as prompting
Organizational Objectives
This course assists organizations to:
- Reduce time-to-first-agent for business teams through no-code n8n workflows
- Build a shared understanding of agentic AI capabilities and limits across non-engineering teams
- Lower governance risk through trained recognition of excessive-agency and ethical issues
- Standardize human-in-the-loop patterns for agent-driven automation
Software
All attendees must have a modern web browser and an Internet connection.
Course Details
Course Details
Module 1 - Introduction to Agentic AI
By the end of this module, you will be able to define agentic AI, differentiate it from other AI techniques, articulate its benefits and challenges, and apply it across collaboration and automation use cases.
- Defining agentic AI and its key characteristics
- Differentiating agentic AI from other techniques
- Benefits and challenges of agentic AI
- Agentic AI for collaboration and automation
- Real-world applications of agentic AI
- Hands-on Lab: Stand up your agent platform and build a small introductory agent to verify the toolchain end-to-end.
Module 2 - Components of an Agentic AI
By the end of this module, you will be able to select the right LLM for an agent task, recognize the role memory plays, distinguish working, long-term, and episodic memory, and apply the OODA loop to agentic decision-making.
- Models — what is in an LLM?
- Selecting the right model for the task
- The role of memory in agentic AI
- Types of memory — working, long-term, episodic
- The OODA loop in agentic AI — observe, orient, decide, act
- Hands-on Lab: Select an appropriate model and add working and long-term memory to one agent.
Module 3 - Tool Use and MCP Servers
By the end of this module, you will be able to distinguish observation tools from action tools, apply direct and indirect tool-use methods, force tool use when needed, and integrate MCP servers into your agent.
- Observation vs. action tools
- Methods of tool use — direct, indirect
- Forcing tool use in agents
- Overview of MCP servers
- Common MCP servers and their use cases
- Hands-on Lab: Add tools to your agent and integrate one MCP server in your agent platform.
Module 4 - Building Agentic AI Applications
By the end of this module, you will be able to design an agentic AI application end-to-end, decompose its tasks across single or multiple agents, evaluate agent behaviour through testing, handle edge cases and failures gracefully, and apply best practices for building resilient agents.
- Designing Agentic AI Applications
- Task Decomposition
- Multi-Agent Systems
- Testing and Evaluating Agents
- Handling Edge Cases and Failures
- Best Practices for Creating Agents
- Hands-on Lab: Design and build a resilient agentic application that survives at least one deliberate edge case in your agent platform.
Module 5 - Designing Collaborative Agents
By the end of this module, you will be able to choose between automation and human collaboration for an agent task, design communication and coordination between humans and agents, build trust through transparency, and design human-agent interaction patterns.
- Automation vs. human collaboration
- Communication and coordination mechanisms
- Building trust between humans and agents
- Case studies of collaborative agents
- Designing for human-agent interaction
- Hands-on Lab: Build a human-in-the-loop workflow in your agent platform and debug an agent failure with the human as the recovery path.
Module 6 - Ethics and Security of Agentic AI
By the end of this module, you will be able to identify ethical challenges of autonomous agents, apply fairness, transparency, and accountability principles, recognize key security threats and excessive-agency risks, and mitigate misinformation and undesirable outcomes.
- Ethical challenges of autonomous agents
- Fairness, transparency, and accountability
- Key security threats and excessive agency risks
- Mitigating misinformation and undesirable outcomes
- Building a culture of responsible AI
- Hands-on Lab: Audit one agent design for ethical and security risks and propose mitigations grounded in Responsible AI principles.
Schedule
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
Overall ExitCertified is a great training provider and the remote learning is as effective as in person.
Course was great and informative. The instructor had a good flow and was very personable.
The labs and course material gave me valuable insights into cloud security architecture
had a good time with the course, however some topics were left out due to the compact amount of time for training.
vary good online learning. instructor is vary good the way he explained every thing.
