Generative AI Free Course with Certificate

Generative AI for beginners

star 4.53  Beginner level 3.0 learning hrs 79.1K+ Learners

Learn the fundamentals of AI, machine learning algorithms, neural networks, and deep learning techniques like CNNs and RNNs. Join this free Generative AI course and discover the impact of LLMs in real-world applications.

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About this course

This free Generative AI course is designed to provide you with a comprehensive understanding of key Artificial Intelligence concepts. You’ll start by learning the fundamentals of AI, addressing its constraints and challenges. The course will cover essential Machine Learning algorithms and their practical applications. You’ll gain insight into Neural Networks and explore Deep Learning techniques such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).


The course will also emphasize the significance of Large Language Models (LLMs), demonstrating how they are used across various industries. You’ll explore Generative Models in AI, understanding both their mathematical underpinnings and real-world applications. This free Generative AI course with a certificate is structured to offer a deep dive into the world of Generative AI, providing you with the knowledge and skills necessary to apply this cutting-edge technology effectively. By the end of the course, you will be equipped with a strong foundation in Generative AI, ready to tackle real-world challenges.


Ready for more? Check out our PGP in Artificial Intelligence and Machine Learning and embark on an exciting learning journey!


 

Course outline

Fundamentals of Artificial Intelligence

In this module, you will learn about the evolution of AI, from its historical milestones to its classification into Narrow AI and General AI and gain insights into AI's pivotal role in Natural Language Processing and its ethical implications. 

Limitations and Challenges of AI

In this module, you will explore the limitations and challenges of AI, including its reliance on data quality and the crucial requirement for human intervention and judgment in the implementation and governance of AI systems."

Basics - Machine Learning

In this module, you will delve into the fundamental concepts of machine learning, including exploring various types of machine learning, such as supervised learning, unsupervised learning, and reinforcement learning."

Machine Learning Algorithms

In this module, you will get a concise overview of machine learning algorithms, including classification algorithms, regression algorithms, and more.

Applications and Challenges in Machine Learning

In this module, you will explore the diverse applications of machine learning, including forecasting and self-driving cars. Additionally, you will also look into the challenges associated with ML algorithms.

Introduction - Neural Networks

In this module, you will be introduced to Neural Networks. You will also explore the various types of Neural Networks and their practical applications.

Brief of Deep Learning, CNN, and RNN Concepts

In this module, you will get an overview of the concept of deep learning, discussing its advantages and challenges. You will also learn the concepts of CNN (Convolutional Neural Networks) and RNN (Recurrent Neural Networks).

Deep Learning Overview

In this module, you will explore the fundamental principles of deep learning, delve into their applications, examine their key characteristics, and discuss their significance.

Large Language Models

In this module, you will explore the concept of Large Language Models, their evolutionary development, and architectural components, with a specific focus on Transformer models.

Generative AI Concepts

This module will introduce you to Generative AI, exploring its key characteristics and the training process. Additionally, you will delve into a detailed comparison between Generative and Discriminative Models.

Generative Models in AI

In this module, you will delve into the diverse realm of Generative AI, exploring key techniques like GANs and VAEs, as well as their practical applications. 

Mathematical Foundations of Generative AI

In this module, you will explore the significance of Probability and Statistics in Generative AI and different sampling methods and machine learning algorithms that can be applied in Generative AI.

Ethics and Responsible AI

New

Ethics and Responsible AI: This module addresses the fundamental principles of AI ethics, importance of fairness, accountability, and transparency in the development of AI technologies.

Real-World Case Studies:AI in Healthcare

New

Real-World Case Studies: AI in Healthcare: This module explores successful AI applications and their implications in the healthcare sector.

Get access to the complete curriculum once you enroll in the course

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Generative AI for beginners

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3.0 Hours

Beginner

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79.1K+ learners enrolled so far

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Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.53
72%
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Reviewer Profile

5.0

Clear and Concise Course Materials
The course materials were clear, well-organized, and presented in a logical sequence, which made the learning process smooth and efficient. Each module had a clear objective, and the content was easy to follow without unnecessary complexity. The pacing was appropriate, allowing ample time to absorb the information. Overall, the course successfully conveyed key concepts in a concise and effective manner.
Reviewer Profile

5.0

The Most Insightful and Versatile Beginner's Course on Generative AI
This was way better than any introductory course on AI that I've seen on Great Learning or any other platform. This program has a very versatile structure which not only covers neural networks but also delves deep into LLMs and Machine Learning Algorithms. I will surely be referring this course to my fellow B.Tech CS AI ML friends.
Reviewer Profile

5.0

Highlights of My Learning Experience
I enjoyed the introduction to generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), which was fascinating.
Reviewer Profile

5.0

Easy to Grasp Knowledge Due to Clear Explanations and Examples
The explanations and examples were very easy to grasp and understand the concept.
Reviewer Profile

5.0

Outstanding Generative AI Course for Beginners!
Clear, insightful, and a perfect introduction to Generative AI concepts.
Reviewer Profile

5.0

Exceptional Learning Experience with Real-World Application
Highly recommended! This course offers an in-depth exploration of the subject matter with practical examples that help bridge the gap between theory and practice. The content is well-structured, and the instructors provide clear and concise explanations. The quizzes and assignments further enhance understanding by challenging you to apply what you've learned. I highly recommend this course to anyone looking to gain comprehensive knowledge and practical skills in this area. Truly an invaluable learning experience!
Reviewer Profile

5.0

Great Time Throughout the Course, Worth Learning About Generative AI!
Concepts are illustrated in a great way. Obtained great knowledge about Generative AI.
Reviewer Profile

5.0

Emphasizes Accessibility and Flexibility with a Hands-On Approach
I liked that the course was flexible, free, and practical, with expert-driven content, allowing you to learn at your own pace while enhancing your creative and professional skills.
Reviewer Profile

5.0

Transformative Learning Experience in AI and Machine Learning
I thoroughly enjoyed the hands-on approach of the course, which allowed me to apply theoretical concepts in practical scenarios.
Reviewer Profile

5.0

Excellent Foundation in Generative AI with Practical Examples
This course provided an excellent foundation in Generative AI, with clear explanations and practical examples. The engaging content kept me interested throughout, and the step-by-step approach made complex topics accessible. Highly recommended for newcomers.

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 enroll 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 prerequisites are required to enrol in this Generative AI course?

You do not need any prior knowledge to enrol in this Generative AI course. 

How long does it take to complete this Generative AI course?

It is a 1.5 hour long course, but it is self-paced. Once you enrol, you can take your own time to complete the course.

Will I have lifetime access to the free course?

Yes, once you enrol in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can log in and learn whenever you want to.

Will I get a certificate after completing this Generative AI course?

Yes, you will get a certificate of completion after completing all the modules and cracking the assessment. 
 

Is the Generative AI for Beginners course a certification course?

This Generative AI for Beginners course provides a certificate of completion rather than a professional certification.

How much does this Generative AI course cost?

It is an entirely free course from Great Learning Academy. 
 

Is there any limit on how many times I can take this free course?

No. There is no limit. Once you enrol in the Generative AI course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

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