Intro to AI Agents and Agentic AI

with Ned Krastev
4.9/5
(29)

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

1 hour of content 188 students
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What you get:

  • 1 hour of content
  • 28 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Intro to AI Agents and Agentic AI

A course by Ned Krastev
Start for Free

What you get:

  • 1 hour of content
  • 28 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement
Start for Free

What you get:

  • 1 hour of content
  • 28 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

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

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

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.

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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

Curriculum

  • 1. Understanding AI agents
    3 Lessons 9 Min
    What does the course cover
    2 min
    What is an AI agent?
    3 min
    Why AI agents are believed to be the next big thing?
    4 min
  • 2. Essential ingredients for building AI agents
    7 Lessons 16 Min
    Intro - Essential ingredients for building AI agents
    1 min
    Environment – the external world that the agent perceives and interacts with
    3 min
    Sensors – how the agent collects data about its surroundings
    2 min
    Model – the agent’s way of making sense of information
    2 min
    Decision-making logic – rules and objectives that guide the agent’s actions
    4 min
    Actions – how the agent shapes the environment
    2 min
    The updated environment
    2 min
  • 3. Types of AI agents: from simple to complex structures
    7 Lessons 14 Min
    Intro - Types of AI agents
    1 min
    Key characteristics of AI agents
    3 min
    Simple reflex agent
    2 min
    Model-based reflex agent
    3 min
    Goal-based agent
    2 min
    Utility-based agent
    2 min
    Learning agent
    1 min
  • 4. Guiding and teaching AI agents
    3 Lessons 8 Min
    Intro - Teaching AI agents
    1 min
    Learning from humans
    3 min
    Learning from external systems
    4 min
  • 5. AI agent architecture patterns
    6 Lessons 16 Min
    Intro - AI agent architecture patterns
    1 min
    Distinguishing LLMs vs AI workflows vs Agents (Agentic vs Non-agentic AI)
    6 min
    How AI agents reason and act (ReAct)
    3 min
    How AI agents reason without observation (ReWoo)
    2 min
    Single agents
    1 min
    Multi-agents
    3 min
  • 6. Implementing AI agents in practice
    10 Lessons 25 Min
    Intro - Implementing AI agents
    1 min
    How to implement AI agents in your business
    3 min
    Select a model
    2 min
    External tools the agent can use
    2 min
    Configuring instructions and prompt engineering best practices
    4 min
    Few-shot prompting
    3 min
    Chain of Thought reasoning
    2 min
    Guardrails
    3 min
    The importance of human intervention
    1 min
    How to evaluate AI agents
    4 min

Topics

AIAI AgentArtificial Intelligence

Tools & Technologies

theory

Course Requirements

  • Intro to AI course

Who Should Take This Course?

Level of difficulty: Beginner

  • This course is for you if you want a great career
  • Perfect for entrepreneurs and business leaders passionate about innovation
  • Aspiring data and AI practitioners
  • Anyone fascinated by AI who wants to move beyond “chatting with ChatGPT”

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Ned Krastev

Ned Krastev

CEO at

27 Courses

36985 Reviews

439772 Students

Nedko earned a Master’s degree in Finance from Bocconi University (Milan, Italy) in 2012. Then, he gained valuable working experience with exciting firms like PwC Italy (Financial Advisory and M&A), Coca-Cola European Partners (Financial Analyst), and Infineon Technologies (M&A). In 2014, he published his first online course on financial modeling and valuation when he realized that creating educational materials is his true calling. The amazing students and content creators in the data science community, the 365 team, and the strong desire to build the perfect learning platform drive Nedko to continue on this exciting journey. His goal is to establish 365 Data Science as the learning platform that bridges the gap between theoretical knowledge and practical business application.

What Our Learners Say

03.09.2025
03.09.2025

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