HomeCoursesGenerative AI with Python and TensorFlow 2
Advanced
16h
Updated 1 month ago
Generative AI with Python and TensorFlow 2
Save
Explore generative AI with Python and TensorFlow 2, mastering advanced algorithms, implementing models, and leveraging cloud resources to future-proof your skills and lead the GenAI revolution.
Join 2.7 million developers at
Overview
Content
Reviews
With recent improvements in machine learning and deep learning, generative modeling has seen a tremendous uptick in the number of research works and its applications across different areas. Some of the newer methods (such as GANs) are very powerful yet difficult to control, making the overall learning process both exciting and frustrating.
In this course, you’ll explore generative AI, a cutting-edge technology for generating synthetic (yet strikingly realistic) data using advanced machine learning algorithms. You’ll learn the theory and fundamentals and discover the potential and impact of these models through worked examples. You’ll also implement these models using a variety of open-source technologies—the Python programming language, the TensorFlow 2 library for deep neural network development, and cloud computing resources such as Google Colab and the Kubeflow project.
Taking this course will help learners explore more complex topics and cutting-edge research with ease.
With recent improvements in machine learning and deep learning, generative modeling has seen a tremendous uptick in the number o...Show More
WHAT YOU'LL LEARN
An understanding of generative models, including their applications, principles of probability, and various techniques used in generative AI
Working knowledge of deep learning, including perceptrons, backpropagation, convolutional neural networks (CNNs), and recurrent neural networks (RNNs)
Hands-on experience implementing generative AI models using TensorFlow 2
Familiarity with emerging applications of generative AI
An understanding of generative models, including their applications, principles of probability, and various techniques used in generative AI
Show more
TAKEAWAY SKILLS
TensorFlow
Python
Generative AI
Content
103 Lessons11 Quizzes2 Assessments
1.
Introduction to the Course
1 Lessons
Get familiar with generative AI fundamentals, focusing on GANs, VAEs, and practical applications.
Every Educative resource is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
Trusted by 2.7 million developers working at companies
"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"
Anthony Walker
@_webarchitect_
"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"
Evan Dunbar
ML Engineer
"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."
Software Developer
Carlos Matias La Borde
"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"
Souvik Kundu
Front-end Developer
"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."
Vinay Krishnaiah
Software Developer
Hands-on Learning Powered by AI
See how Educative uses AI to make your learning more immersive than ever before.
Instant Code Feedback
Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.
At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.
Explain with AI
Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.
AI Code Mentor
AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!
Free Resources
FOR TEAMS
Interested in this course for your business or team?
Unlock this course (and 1,000+ more) for your entire org with DevPath
Frequently Asked Questions
Can I use TensorFlow for generative AI?
Yes, you can use TensorFlow for generative AI by implementing models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) to generate new data, such as images, text, and music.
What is GAN in AI?
GAN (Generative Adversarial Network) in AI is a framework consisting of two neural networks, a generator and a discriminator, that compete to generate realistic data samples and distinguish between real and fake data.
