CompTIA AI Agent Essentials

Price
$99.00 USD

Duration
1 Day

 

Delivery Methods
Virtual Instructor Led
Private Group

Course Overview

CompTIA AI Agent Essentials is a focused, one-day course that introduces the foundations of agentic AI systems. Learners explore what distinguishes agents from chatbots, how to select an appropriate level of agentic behavior, and how to translate real work into controllable, agent-compatible workflows.

The course also examines autonomy, instructions, tools, memory, permissions, human oversight, guardrails, monitoring, and performance evaluation so learners can make informed decisions about safe and effective agent design.

Course Objectives

  • Explain what makes an AI system an agent and distinguish agents from chatbots.
  • Identify the components and anatomy of an AI agent system.
  • Choose an appropriate level of agentic behavior for a business task.
  • Break real work into reasoned steps, rules, and agent-compatible workflows.
  • Design agent autonomy, context, and instructions.
  • Determine which external tools an agent should use to take action.
  • Make informed decisions about agent knowledge, state, and long-term memory.
  • Apply least privilege, permissions, human oversight, guardrails, and validations.
  • Use monitoring, logs, and performance signals to evaluate and debug agents.

Who Should Attend?

  • Business and technology professionals exploring AI agents
  • AI, automation, and process-improvement practitioners
  • Product owners, business analysts, and workflow designers
  • IT and security professionals involved in agent permissions and oversight
  • Professionals who need a practical foundation in safe agentic systems
  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course Prerequisites

No advanced agent-development experience is required. Familiarity with generative AI concepts, workplace processes, and basic automation will help learners connect the activities to real-world scenarios.

Agenda

From Manual Work to Agentic Systems

  • Course Introduction
  • Course Introduction
  • How to Use This Course
  • Activity: Pre-Assessment
  • What an Agent Is (and Is Not)
  • What Makes an AI System an Agent
  • Anatomy of an AI Agent System
  • Chatbots vs Agents: Same Task, Different Power
  • Activity: Identify the Components of an Agent
  • Choosing the Right Level of Agentic Approach
  • Not Everything Needs an Agent
  • From Chat to Light Agents to Full Agents
  • One Task, Three Approaches
  • Activity: Choose the Right Level of Agentic Behavior
  • Turning Real Work into a Controllable Agent Workflow
  • Making Work Legible to an Agent
  • Designing Agent-Compatible Workflows
  • Decomposing Work into Reasoning and Rules
  • Activity: Break Down and Classify a Workflow
  • Module 1 Review

Controlling Agent Behavior, Actions, and Memory

  • Autonomy and Instructions
  • Controlling What Agents Can Decide
  • Designing Agent Context and Instructions
  • The Same Agent at Different Autonomy Levels
  • Activity: Designing Agent Autonomy and Instructions
  • How Agents Take Action in the Real World
  • Why Tools Turn Assistants into Agents
  • How Agents Connect to External Tools
  • An Agent Performing Real Actions with Tools
  • Activity: Decide Which Tools an Agent Should Have
  • Designing Agent Memory
  • Why Memory Changes Agent Behavior
  • Knowledge, State, and Long-Term Memory
  • Memory Decisions and Their Consequences
  • Activity: Decide What the Agent Should Remember
  • Module 2 Review

Safety, Oversight, and Agent Performance

  • Designing Safe, Reviewable Agents
  • Safety Is a Design Decision
  • Least Privilege and Human Oversight
  • Humans Reviewing Agent Actions
  • Activity: Setting Permissions and Human Control
  • Guardrails and Automated Protection
  • Why Agents Need Guardrails
  • Types of Agent Guardrails and Validations
  • Guardrails Blocking Unsafe Actions
  • Activity: Choose Guardrails for Risky Scenarios
  • Evaluating and Monitoring Agents Over Time
  • Agents Need Ongoing Oversight
  • Monitoring, Logs, and Performance Signals
  • Debugging a Misbehaving Agent
  • Activity: Interpret Agent Performance Signals
  • Module 3 Review
 

Get in touch to schedule training for your team
We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.

CourseID: 3607034E
 



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