[2026] Tensorflow 2: Deep Learning & Artificial Intelligence

OFF

DevelopmentDeep Learning

[2026] Tensorflow 2: Deep Learning & Artificial Intelligence

Name: [2026] Tensorflow 2: Deep Learning & Artificial Intelligence
Price: 9.99 USD
Availability: InStock
Rating: 4.5 (64224 reviews)

★4.5

(64,224 students)

26h

>_ What You'll Learn

Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
Predict Stock Returns
Time Series Forecasting
Computer Vision
How to build a Deep Reinforcement Learning Stock Trading Bot
GANs (Generative Adversarial Networks)
Recommender Systems
Image Recognition
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Use Tensorflow Serving to serve your model using a RESTful API
Use Tensorflow Lite to export your model for mobile (Android, iOS) and embedded devices
Use Tensorflow's Distribution Strategies to parallelize learning
Low-level Tensorflow, gradient tape, and how to build your own custom models
Natural Language Processing (NLP) with Deep Learning
Demonstrate Moore's Law using Code
Transfer Learning to create state-of-the-art image classifiers
Earn the Tensorflow Developer Certificate
Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion

>_ Requirements

Know how to code in Python and Numpy
For the theoretical parts (optional), understand derivatives and probability

/ Course Details & Curriculum

Ever wondered how AI technologies like OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion really work? In this course, you will learn the foundations of these groundbreaking applications.

Welcome to Tensorflow 2.0!

What an exciting time. It's been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version.

Tensorflow is Google's library for deep learning and artificial intelligence.

Deep Learning has been responsible for some amazing achievements recently, such as:

Generating beautiful, photo-realistic images of people and things that never existed (GANs)
Beating world champions in the strategy game Go, and complex video games like CS:GO and Dota 2 (Deep Reinforcement Learning)
Self-driving cars (Computer Vision)
Speech recognition (e.g. Siri) and machine translation (Natural Language Processing)
Even creating videos of people doing and saying things they never did (DeepFakes - a potentially nefarious application of deep learning)

Tensorflow is the world's most popular library for deep learning, and it's built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning.

In other words, if you want to do deep learning, you gotta know Tensorflow.

This course is for beginner-level students all the way up to expert-level students. How can this be?

If you've just taken my free Numpy prerequisite, then you know everything you need to jump right in. We will start with some very basic machine learning models and advance to state of the art concepts.

Along the way, you will learn about all of the major deep learning architectures, such as Deep Neural Networks, Convolutional Neural Networks (image processing), and Recurrent Neural Networks (sequence data).

Current projects include:

Natural Language Processing (NLP)
Recommender Systems
Transfer Learning for Computer Vision
Generative Adversarial Networks (GANs)
Deep Reinforcement Learning Stock Trading Bot

Even if you've taken all of my previous courses already, you will still learn about how to convert your previous code so that it uses Tensorflow 2.0, and there are all-new and never-before-seen projects in this course such as time series forecasting and how to do stock predictions.

This course is designed for students who want to learn fast, but there are also "in-depth" sections in case you want to dig a little deeper into the theory (like what is a loss function, and what are the different types of gradient descent approaches).

Advanced Tensorflow topics include:

Deploying a model with Tensorflow Serving (Tensorflow in the cloud)
Deploying a model with Tensorflow Lite (mobile and embedded applications)
Distributed Tensorflow training with Distribution Strategies
Writing your own custom Tensorflow model
Converting Tensorflow 1.x code to Tensorflow 2.0
Constants, Variables, and Tensors
Eager execution
Gradient tape

Instructor's Note: This course focuses on breadth rather than depth, with less theory in favor of building more cool stuff. If you are looking for a more theory-dense course, this is not it. Generally, for each of these topics (recommender systems, natural language processing, reinforcement learning, computer vision, GANs, etc.) I already have courses singularly focused on those topics.

Thanks for reading, and I’ll see you in class!

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)

UNIQUE FEATURES

Every line of code explained in detail - email me any time if you disagree
No wasted time "typing" on the keyboard like other courses - let's be honest, nobody can really write code worth learning about in just 20 minutes from scratch
Not afraid of university-level math - get important details about algorithms that other courses leave out

Author and Instructor

Lazy Programmer Team, Lazy Programmer Inc.

Expert at Udemy

With years of hands-on experience in Development, Lazy Programmer Team, Lazy Programmer Inc. has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.

Community Feedback

★★★★★

Michael Chen

Verified Enrollment

"This [2026] Tensorflow 2: Deep Learning & Artificial Intelligence course was exactly what I needed. The instructor explains complex Development concepts clearly. Highly recommended!"

Sarah Johnson

Verified Enrollment

"I've taken many Udemy courses on data science, machine learning & AI, but this one stands out. The practical examples helped me land a job."

David Smith

Verified Enrollment

"Great value for money. The section on Deep Learning was particularly helpful."

Emily Davis

Verified Enrollment

"Excellent structure and pacing. I went from zero to hero in Development thanks to this course. Lifetime access is a huge plus."

Common Questions

Is the "[2026] Tensorflow 2: Deep Learning & Artificial Intelligence" course truly discounted?

Yes. By utilizing our verified 95% coupon, you can enroll in "[2026] Tensorflow 2: Deep Learning & Artificial Intelligence" at a massive discount. This grants you lifetime access to all course materials and updates.

Do I qualify for a certificate upon completion?

Yes. When you enroll with a 95% coupon provided by CoursesWyn, you follow the same path as a paid student and are eligible for the official completion certificate from Udemy.

What happens if the coupon code expires?

Udemy coupons have strict enrollment limits and time windows. If this code expires, we recommend bookmarking this page and checking back daily, as we refresh our deals constantly to find the latest active discounts.

$199.99Save 95%

$9.99

Verified Discount Code

CLAIM DISCOUNT 🚀

✨Lifetime Access

🏆Official Certificate

📱Access on Mobile/TV

🔄Latest Updated Course

Claim Your Discount Code

XXXXXXXX

CLICK TO SHOW

REVEAL & COPY