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Free Agentic AI Course

Getting Started with Agentic AI

Enroll in our free Agentic AI course to learn how intelligent systems make decisions independently. You will gain hands-on experience with the latest tools to develop your problem-solving skills and earn a completion certificate.

Instructor:

Ms. Sneha VK
Beginner

Level

1.5 Hrs

Learning hours

398

Learners

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Getting Started with Agentic AI

1.5 Learning Hours . Beginner

Skills you will learn

About this course

Getting Started with Agentic AI is a free and introductory course for everyone who wants to understand the basics of autonomous decision-making systems and real-world applications. In this course, you will learn how the Agentic AI works. You will develop skills to create autonomous agents and get hands-on with the cutting-edge tools and frameworks. The free Agentic AI course covers everything from programming and debugging to deploying AI-driven solutions, providing practical training to create intelligent systems. Once you complete the course, you will receive a certificate to display your skills in Agentic AI, getting ready for the opportunities in the fast-growing AI industry.

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Course Outline

Introduction to Agentic AI

In this module, you will be introduced to Agentic AI, covering its definition, characteristics, and real-world applications.

Key Concepts in Agentic AI

In this module, you will learn the fundamental concepts of autonomy, decision-making, perception, and adaptability in Agentic AI.

Introduction to Reinforcement Learning (RL)

In this module, you will learn the basics of reinforcement learning, explaining how agents interact with environments and learn from rewards.

Q-learning and the Q-table

In this module, you will learn about the Q-learning algorithm and how the Q-table is used to optimize decision-making in an agentic system.

Hands-on: Building a Q-learning Agent

In this module, you will be guided through implementing a Q-learning agent in Python to solve a grid-world navigation problem.

Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Getting Started with Agentic AI

1.5 Learning Hours . Beginner

Trusted by 10 Million+ Learners globally

Our course instructor

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Ms. Sneha VK

ChatGPT and Generative AI Expert

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7.2K+ Learners
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10 Courses
Sneha is currently working as a Research Analyst at Great Learning. With a passion for teaching, she has served in the higher education sector for more than 2 years. Sneha has expertise in various Computer Science Subjects like .NET, HTML/ CSS, Python, System Architecture,Operating systems, Data Structures, Database management systems etc.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enrol in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What is Agentic AI?

Agentic AI refers to the autonomous systems that use intelligent models to process environmental data, learn from feedback, and solve problems without human intervention.

Who is this course for?

The free Agentic AI course is a beginner’s guide to autonomous decision-making systems. This course is helpful for people who have no background in AI and programmers who want to work with Agentic AI systems.

What is the difference between Generative AI and Agentic AI?

The key distinction between Generative AI and Agentic AI is:

  • Generative AI generates new content (text, images, music) based on the learned patterns from the existing data. Generative AI focuses on content generation

  • Agentic AI makes autonomous decisions and takes actions to achieve specific goals. Agentic AI focuses on decision-making and actions.


Do I need prior programming experience to take this course?

The course does not demand prior programming experience from learners. The course provides essential coding education, which includes hands-on Python development that allows you to create your own AI models. Mastering basic programming principles can enhance learning, but it is not necessary.

What tools and technologies will I learn to use in this course?

In this program, you will learn to:

  • Build Q-learning reinforcement learning algorithms as your practical assignments.
  • Learn to program in Python to facilitate AI development.
  • Run AI framework software to develop autonomous systems.
  • Improve the decision-making processes in these systems.


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