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Generative AI Free Course with Certificate
Generative AI for beginners
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.
Modules updated 07/2025
Generative AI for beginners
75.4K+ learners enrolled so far
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Skills you will gain
Generative Models in AI
Mathematical Foundations of Generative AI
Large Language Models
Key Highlights

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About this course
Embark on this free Generative AI course of charge that offers a certificate. This educational adventure starts with the basics of Artificial Intelligence, shedding light on its constraints and hurdles. Dive into the core concepts of Machine Learning, getting to know crucial algorithms and how they are applied. The program will introduce you to Neural Networks, providing a glimpse into Deep Learning techniques such as CNNs and RNNs.
This Generative AI free course with certificate will highlight the significance of Large Language Models, showcasing their utility across different sectors. By exploring Generative Models in AI, participants will understand both their mathematical underpinnings and real-world applications. This free generative AI course initiative is designed to unfold the captivating domain of Generative AI, ensuring a rich learning experience.
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.
Get access to the complete curriculum once you enroll in the course
Stand out with an industry-recognized certificate

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

Generative AI for beginners
4.53
2.25 Hours
Beginner
75.4K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
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?
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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