Build practical AI agent knowledge and automate workflows using modern generative AI technologies.
This course teaches core AI agent concepts including conversational AI, task automation, prompt engineering, decision workflows and the use of generative AI tools to support business productivity and operational efficiency.
- Why get trained: Learn how AI agents use prompt engineering, conversational AI and workflow automation to support business tasks and improve operational productivity.
- Why it matters: AI agent capabilities help organizations streamline repetitive processes, improve user interactions and support the adoption of AI-driven business operations.
- Who should attend: Business professionals, operations teams, administrators and technology users looking to understand and apply AI agent technologies in workplace environments.
Build foundational AI agent and workflow automation capabilities using modern generative AI technologies with Trainocate. HRD Corp Claimable.
Overview
As AI agents take on autonomous roles across business workflows, most professionals lack the framework to evaluate, oversee, or work alongside them effectively.
AI Agent Essentials is designed to change that. As AI agents increasingly operate across business systems, this course helps learners understand how these systems work, where they add value, and what risks they introduce.
Rather than focusing on building code-based agents, the course emphasizes agentic thinking: how agent-based systems differ from traditional chatbots and automations, how agent workflows are structured, and how autonomy, and tool use change responsibility and risk.
Through realistic workplace scenarios and guided examples, learners develop the ability to reason about agent behavior, identify appropriate and inappropriate use cases, and participate responsibly in organizations where agents are part of everyday work.
The course prioritizes practical understanding over implementation detail, enabling learners to collaborate effectively with technical teams, make informed adoption decisions, and recognize the implications of agentic systems on workflows, accountability, and trust.
A competency assessment is included, allowing learners to validate their competency in AI agents.
Skills Covered
- Understand agents and identify appropriate use cases
- Translate work into agent workflows
- Control agent behavior and actions
- Manage agent memory and knowledge
- Design safe, secure agents with human oversight
- Test, evaluate, and monitor agent performance
Prerequisites
Target Audience
Dates & Locations
August 6, 2026 - August 6, 2026
August 6, 2026 - August 6, 2026
November 19, 2026 - November 19, 2026
November 19, 2026 - November 19, 2026
December 1, 2026 - December 31, 2026
Exam & Certification
No associated certification.
Training & Certification Guide
Frequently Asked Questions
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All courses are HRD Claimable.
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