04.09.2025
Intro to AI Agents and Agentic AI
with
Ned Krastev
Understand How AI Agents Work and How to Leverage This Technology to Transform Your Business and Career
1 hour of content
188 students

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

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 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:
- Understand the business value of AI agents and agentic AI.
- Build powerful AI agent systems that achieve your business goals.
- 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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1.1 What does the course cover
2 min

1.2 What is an AI agent?
3 min

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

2.1 Intro - Essential ingredients for building AI agents
1 min

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

2.3 Sensors – how the agent collects data about its surroundings
2 min
Curriculum
- 2. Essential ingredients for building AI agents7 Lessons 16 MinIntro - Essential ingredients for building AI agents1 minEnvironment – the external world that the agent perceives and interacts with3 minSensors – how the agent collects data about its surroundings2 minModel – the agent’s way of making sense of information2 minDecision-making logic – rules and objectives that guide the agent’s actions4 minActions – how the agent shapes the environment2 minThe updated environment2 min
- 3. Types of AI agents: from simple to complex structures7 Lessons 14 MinIntro - Types of AI agents1 minKey characteristics of AI agents3 minSimple reflex agent2 minModel-based reflex agent3 minGoal-based agent2 minUtility-based agent2 minLearning agent1 min
- 4. Guiding and teaching AI agents3 Lessons 8 MinIntro - Teaching AI agents1 minLearning from humans3 minLearning from external systems4 min
- 5. AI agent architecture patterns6 Lessons 16 MinIntro - AI agent architecture patterns1 minDistinguishing LLMs vs AI workflows vs Agents (Agentic vs Non-agentic AI)6 minHow AI agents reason and act (ReAct)3 minHow AI agents reason without observation (ReWoo)2 minSingle agents1 minMulti-agents3 min
- 6. Implementing AI agents in practice10 Lessons 25 MinIntro - Implementing AI agents1 minHow to implement AI agents in your business3 minSelect a model2 minExternal tools the agent can use2 minConfiguring instructions and prompt engineering best practices4 minFew-shot prompting3 minChain of Thought reasoning2 minGuardrails3 minThe importance of human intervention1 minHow to evaluate AI agents4 min
Topics
AIAI AgentArtificial Intelligence
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.

Meet Your Instructor

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
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