Question 1

What is an AI agent course?

Accepted Answer

An AI agent course teaches professionals how to design, build, test, and refine AI agents that can complete defined tasks or support repeatable workflows. In an L&D context, an AI agent is a specialized digital assistant that can be configured with instructions, reference materials, quality criteria, and guardrails to support talent development work.  Unlike a general AI or prompting course, an AI agent course focuses on creating a repeatable solution for a specific task, such as creating storyboards, not just generating a one-time response.

Question 2

What will I learn in this AI agent course?

Accepted Answer

At the end of this workshop, you will be able to: Diagnose whether a workflow gap is a training, tooling, or performance-support problem before building anything. Baseline and measure a real task, so agent impact is expressed as a performance gain, not a demo. Classify data to ensure secure, compliant agent deployment under corporate guidelines. Draft precise system instructions that set clear boundaries, personas, and operating rules. Structure knowledge bases in clean, tool-neutral formats to prevent hallucinated answers. Run a diagnostic test suite to identify edge-case failures, context leaks, and boundary-pushing inputs. Build feedback loops and define what the human orchestrator continues to own after deployment. Apply enterprise-grade reference frameworks to deploy and sustain agents beyond the classroom.

Question 3

Why should I attend an AI agent course for learning and development?

Accepted Answer

Build a secure learning assistant grounded in a customized L&D knowledge base (rubrics, internal style guides, curriculum frameworks) while protecting organization and participant privacy. Measure current task baseline (time/error rate) and run it through your agent to prove a 40 percent+ performance gain you can share with leadership. Master AI safety and guardrails, using "red-teaming" techniques to lock down boundaries, prevent model hallucinations, and ensure secure outputs. Gain a repeatable 5-step agent blueprint for designing future agents that are secure, accurate, and IT-approvable. Learn agent design skills that transfer to any platform, field, or industry.

Question 4

Who should attend?

Accepted Answer

This workshop is for instructional designers, trainers, and talent development professionals who already use AI regularly and are ready to start designing and deploying their own AI agents. Although course examples focus on talent development applications, the concepts and processes are relevant to anyone who wants to integrate an AI agent into their workflow. You'll get the most from the workshop if you use at least one LLM regularly, can write a structured multipart prompt, and have built at least one basic custom assistant before. Newcomers to AI are better served by ATD's foundational AI offerings first, such as Using AI Assistants to Power Productivity.

Question 5

What are the attendance policy and course requirements?

Accepted Answer

What are the attendance policy and course requirements?

Question 6

Will I build a custom AI agent during the workshop?

Accepted Answer

Yes. This workshop isn't a tour of AI features or a prompting refresher. It's focused on building a working tool. You'll bring one real, repeatable task from your own work and design, test, and measure a working AI agent around it. The workshop is built around a simple idea: The agent is the tool, and the measured performance gain is the outcome.

Question 7

Do I need coding experience to build AI agents?

Accepted Answer

No. The course requires access to a supported large language model with custom-agent creation features, not programming expertise.  Instead of coding, you’ll focus on the skills that make an agent useful and trustworthy: defining your L&D workflow, writing clear agent instructions, organizing appropriate reference materials, establishing guardrails, testing outputs and deployment readiness, and determining where human judgment remains essential.

Question 8

What takeaways does this AI agent course include?

Accepted Answer

You will leave with four enterprise-grade reference tools—covering QA and evaluation rigor, testing methodology, IT governance and compliance, and agent life cycle ownership—to sustain and scale custom AI agents beyond the classroom.

Question 9

What is the difference between this course and ATD’s AI assistant workshop?

Accepted Answer

Using AI Assistants to Power Productivity focuses on Generative AI, using tools like GPTs and Gems to help you reliably create content that meets your guidelines and follows your templates, using clear instructions and background information. Designing and Building AI Agents is an advanced workshop focused on Agentic AI. In this course, you will design and build a system that can autonomously carry out a multistep process or task.

Question 10

Is this workshop available for team training?

Accepted Answer

Yes, this workshop is available for team training. Connect with ATD’s Enterprise Solutions team to explore bringing this course to your organization and save up to 30%.

An ATD representative will partner with you to identify the right facilitator, schedule your preferred delivery format, and customize the program content to align with your organization’s specific goals and learning needs.

Additional Credits	Type	Credits	Actions
APTD Credential	Professional Development Hours/Recertification Points	7	More Info
CPTD Credential	Professional Development Hours/Recertification Points	7	More Info
HR Certification Institute®	Recertification Credit Hours	7	More Info
Society for Human Resource Management	Professional Development Credits (PDCs)	7	More Info

Designing and Building AI Agents

Create a custom learning assistant you can use in any platform.