Free Deepfakes Course

Deepfakes Basics

star 4.5  Intermediate level 2.25 learning hrs 5.9K+ Learners

Learn the basics of deepfakes and how they are created. Our comprehensive guide on Deepfakes Basics covers everything you need to know about this rapidly evolving technology. Best for Beginners. Start now!

Instructor:

Dr. Abhinanda Sarkar

Key Highlights

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About this course

Deepfake is considered the art of future-oriented technology whose specific application is swapping the faces in a video. The most common method for creating deep fakes relies on deep neural networks involving autoencoders that implement face-swapping techniques.
This course will give you a crisp introduction to Deepfake Technology. You should not believe everything you see, because advancements in software have made it easy to create Deepfake videos, and in this video, we will be explaining some of the questions that you may have like, what is Deepfake, how they are created, and how we can use them in real-life. We will discuss how to create a Deepfake. These courses and pictures are called Deepfakes. Since the technology has advanced, the Deepfakes are becoming sophisticated even better every day.

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Course outline

Fundamentals of Artificial Intelligence (AI) and Industry Domains

Define Artificial Intelligence (AI) and differentiate it from traditional algorithmic programming. Explore core AI domains including Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision (CV), analyzing their strategic deployment across modern industries.

Neural Network

Introduction to Natural Language processing

Natural language processing is a piece of machinery in AI. This section employs you by defining NLP, its grammar, and linguistics. The section also defines computational linguistics and its relation to AI, along with real-time examples. 
 

Computer Vision (CV) Fundamentals: Classification and Segmentation

Master the foundational tasks of Computer Vision (CV). Extract actionable features from visual data to execute Image Classification, Object Detection, Semantic Segmentation, and continuous Video Analysis.

What Is Deepfake ?

How Deepfake Work ?

What's Inside A Neural Network ?

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

Deepfakes Basics

rating icon 4.5

2.25 Hours

Intermediate

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5.9K+ learners enrolled so far

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Learner reviews of the Free Courses

4.5
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21%
9%
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Reviewer Profile

5.0

Country Flag India
“I enjoyed how the practical applications and interactive discussions helped deepen my understanding.”
I loved the course; the way every module was made was amazing.
Reviewer Profile

5.0

Country Flag India
“Deepfake Basics: The Best Topic and Best Start to Learn”
Deepfakes are a type of synthetic media that use artificial intelligence (AI) to manipulate or generate images or videos. They can be used to convincingly replace someone's face in existing footage with someone else's, or even create entirely new, realistic-looking videos of people saying or doing things they never did. How Deepfakes Work: Deepfakes rely on a type of AI called deep learning, specifically a technique known as Generative Adversarial Networks (GANs). GANs consist of two neural networks.
Reviewer Profile

5.0

Country Flag India
“Deepfake Refers to Synthetic Media Artifacts That Manipulate Someone's Image or Voice to Create Fake but Convincing Video or Audio Recordings.”
Deepfakes use deep learning algorithms like neural networks to manipulate facial expressions, voice, and movement. While deepfakes have legitimate applications in entertainment, education, advertising, and social media, they also raise concerns about misinformation, identity theft, privacy invasion, and cyberbullying. To address these issues, various detection methods have been developed, including digital watermarking, machine learning-based detection, and visual inspection.
Reviewer Profile

5.0

Country Flag India
“Great Learning: Expert Faculty, Engaging Content, and a Supportive Community Transformed My Career!”
Great Learning transformed my career journey! Their expert faculty, engaging content, and supportive community provided a fantastic learning experience. The practical projects and industry-relevant curriculum helped me gain hands-on experience and boost my confidence. I highly recommend Great Learning to anyone looking to upskill or change careers!
Reviewer Profile

5.0

Country Flag India
“Deepfakes Demonstration Course of AI”
Nicely structured Deepfakes demonstration course of Artificial Intelligence.
Reviewer Profile

4.0

Country Flag India
“It Was Fun Learning and the Tools Were Amazing.”
The instructor demonstrated deep knowledge of the subject matter and employed an effective teaching style, making complex concepts more accessible. I appreciated their responsiveness to questions and willingness to provide extra help. The assignments and projects were challenging yet manageable, promoting a deeper understanding of the material, and the group discussions facilitated valuable interactions with peers. However, I believe incorporating more multimedia resources, such as videos or podcasts, would enhance the learning experience.
Reviewer Profile

4.0

Country Flag India
“Deepfakes are a Fascinating Yet Controversial Application of Artificial Intelligence and Deep Learning.”
Deepfakes are a fascinating yet controversial application of artificial intelligence and deep learning.
Reviewer Profile

4.0

“Interesting Way to Learn with Videos, but Needs Improved Accessibility with Subtitles”
I was able to learn more about AI thanks to these videos with the support of subtitles, but some others lack this accessibility element. Even so, I tried to learn with the help of the visual materials like the slides recorded in these videos. I'm deaf, so I'm learning these topics online where I can read and understand better with materials that I can process visually.
Reviewer Profile

5.0

Country Flag India
“I Gained a Solid Understanding of How Deepfakes Are Generated by Training Models on Extensive Datasets of Images and Videos.”
What I find fascinating about deepfakes is their innovative use of artificial intelligence to create highly realistic synthetic media. The technology showcases the incredible capabilities of deep learning, demonstrating how machines can learn intricate patterns and reproduce them in a way that can be nearly indistinguishable from reality.
Reviewer Profile

5.0

Country Flag Singapore
“The Lessons are Instructive and Easy to Follow”
Even without prior knowledge and experience in this area, I can still follow the lessons.

What our learners enjoyed the most

Our course instructor

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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

Artificial Intelligence Expert

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1M+ Learners
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36 Courses
Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

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.

Will I get a certificate after completing this Deepfakes free course?

Yes, you will get a certificate of completion for Deepfakes after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Deepfakes course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Deepfakes can get started with this course.

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

Once you enroll in the Deepfakes course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Deepfakes course?

Great Learning Academy provides this Deepfakes course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Deepfakes course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Deepfakes course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

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Other Artificial Intelligence tutorials for you

Deepfakes: An Introduction

 

Deepfakes are artificially generated images, videos, or audio clips that are designed to appear as if humans have created them. They are created using a combination of artificial intelligence (AI) and machine learning technologies. Deepfakes have become increasingly popular in recent years due to their ability to really create media that is indistinguishable from real life.

Introduction to AI


AI is a branch of computer science that focuses on developing intelligent machines and systems. It is a broad field encompassing various sub-disciplines, such as robotics, natural language processing, computer vision, and machine learning. AI is used to solve complex problems and make decisions that would otherwise be impossible for humans.

Neural Network


A neural network is a computer system modeled after the brain's structure. It is made up of interconnected layers of neurons that are trained to recognize patterns in data. They are used for various tasks, such as image recognition, natural language processing, and speech recognition.

What is Deepfake?


Deepfake is a type of AI-generated media that is designed to look and sound like a real person. It can be used to create realistic video or audio clips that are indistinguishable from the real thing. They are created using a combination of AI and machine learning technologies.

How Does Deepfake Work?


Deepfakes are created using a combination of AI and machine learning technologies. The process begins by training a neural network on a large collection of images or videos of a person. The neural network then learns the characteristics of the person and can generate realistic images or videos that appear to be of the same person.

A free course on deep fakes by Great Learning


Great Learning offers a free course on deep fakes that covers both the fundamentals and advanced concepts related to deep fakes. The course is aimed at helping anyone interested in creating and understanding deep fakes. It covers topics such as the basics of deep fakes, how to create deep fakes, and the ethical implications of deep fakes. The course also provides hands-on experience and practical applications of deep fakes.

Enroll For Free