Online Course
Intro to AI Agents and Agentic AI

Understand How AI Agents Work and How to Leverage This Technology to Transform Your Business and Career

4.8

863 reviews on
4,795 students already enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

2 hours
  • Lessons (2 hours)

CPE credits:

3
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

  • Understand AI agents and the underlying technology
  • How to skyrocket productivity using AI agents
  • How to build AI agents
  • Understand key Artificial Intelligence concepts and build a solid foundation
  • Acquire an understanding of different AI agent types
  • Understand why AI agent architecture is essential for building effective systems

Topics & tools

AIAI AgentArtificial IntelligenceTheory

Your instructor

Course OVERVIEW

Description

CPE Credits: 3 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study

Do you want to learn the fundamentals of AI agents to boost your career?

Ready to become AI-literate—ensuring you stay ahead of the curve in this rapidly changing digital landscape?

Here's what you will accomplish by taking this course:

  1. Understand the business value of AI agents and agentic AI.
  2. Build powerful AI agent systems that achieve your business goals.
  3. Lead the adoption of this transformative AI technology in your company

Today, AI agents are the most exciting trend in the business world. The notion of virtual employees who can work tirelessly and continue to improve over time offers limitless opportunities. This marks a significant shift in the AI revolution, transitioning the impact of AI from employees prompting ChatGPT to ‘hiring’ AI agents capable of autonomous performance.

Picture a team of world-class specialists embedded in your business—always on, around the clock. Or picture an AI agent that supports your employees, helping them complete tasks in half the time.

AI agents open up limitless possibilities—but surprisingly few courses teach the core foundations of this game-changing technology.

Before we rush to the hands-on implementation with no-code or low-code tools, it would be immensely valuable to gain a solid understanding of the fundamentals – what is an AI agent, what type of AI agents are there, how to train an AI agent, which are the different AI agent architecture patterns to choose from, and how to implement AI agents in your business in an optimal way.

Through our comprehensive "Intro to AI Agents" course, we introduce AI agent fundamentals, business understanding, best practices and equip you with a robust framework for implementing AI agents that supercharge your productivity. Beyond the art of building AI agents, this training delves deep into pivotal areas like AI agent practical implementation and understanding why AI adoption is a must for you and your organization.

Get ready to embark on a journey that could transform your entire career. Breakthroughs like AI agents come only once in a generation—and the best time to master these skills is now, as the AI-driven future is unfolding today.

Don't let the AI revolution pass you by. Master AI Agents and leverage them to your advantage.

Graduate from our course equipped with an unparalleled edge in your field.

Prerequisites

  • Intro to AI course

Advanced preparation

Curriculum

52 lessons 28 exercises 1 exam
  • 1. Understanding AI agents
    9 min
    9 min
    What does the course cover Free
    What is an AI agent? Free
    Why AI agents are believed to be the next big thing? Free
    Exercise
  • 2. Essential ingredients for building AI agents
    16 min
    16 min
    Intro - Essential ingredients for building AI agents Free
    Environment – the external world that the agent perceives and interacts with Free
    Sensors – how the agent collects data about its surroundings Free
    Model – the agent’s way of making sense of information
    Exercise
    Decision-making logic – rules and objectives that guide the agent’s actions
    Actions – how the agent shapes the environment
    The updated environment
    Exercise
  • 3. Types of AI agents: from simple to complex structures
    14 min
    14 min
    Intro - Types of AI agents
    Key characteristics of AI agents
    Simple reflex agent
    Model-based reflex agent
    Exercise
    Goal-based agent
    Utility-based agent
    Learning agent
    Exercise
  • 4. Guiding and teaching AI agents
    8 min
    8 min
    Intro - Teaching AI agents
    Learning from humans
    Learning from external systems
    Exercise
  • 5. AI agent architecture patterns
    16 min
    16 min
    Intro - AI agent architecture patterns
    Distinguishing LLMs vs AI workflows vs Agents (Agentic vs Non-agentic AI)
    How AI agents reason and act (ReAct)
    Exercise
    How AI agents reason without observation (ReWoo)
    Single agents
    Multi-agents
    Exercise
  • 6. Implementing AI agents in practice
    25 min
    25 min
    Intro - Implementing AI agents
    How to implement AI agents in your business
    Select a model
    External tools the agent can use
    Configuring instructions and prompt engineering best practices
    Exercise
    Few-shot prompting
    Chain of Thought reasoning
    Guardrails
    Exercise
    The importance of human intervention
    How to evaluate AI agents
    Exercise
  • 7. Practical example - Build an agentic automation with n8n
    21 min
    21 min
    Introduction to n8n
    Node types in n8n
    The project we will build
    Defining your agent’s personality: The system prompt
    Adding the brain: Making your workflow think
    Implementing memory in n8n: Building memory for Your agent
    Integrating tools: Google Sheets and Gmail
    Producing the final output
  • 8. AI agent infrastructure
    15 min
    15 min
    Intro
    APIs
    Cloud services
    Data and knowledge integration
    Development frameworks
    Deployment
  • 9. AI agents in business
    10 min
    10 min
    The key value proposition of AI agents
    AI agents as teammates
  • 10. Course exam
    60 min
    60 min
    Course exam

Free lessons

What does the course cover

1.1 What does the course cover

2 min

What is an AI agent?

1.2 What is an AI agent?

3 min

Why AI agents are believed to be the next big thing?

1.3 Why AI agents are believed to be the next big thing?

4 min

Intro - Essential ingredients for building AI agents

2.1 Intro - Essential ingredients for building AI agents

1 min

Environment – the external world that the agent perceives and interacts with

2.2 Environment – the external world that the agent perceives and interacts with

3 min

Sensors – how the agent collects data about its surroundings

2.3 Sensors – how the agent collects data about its surroundings

2 min

Start for free

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice exams
  • AI mock interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice exams

Track your progress and solidify your knowledge with regular practice exams.

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AI mock interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.