[2026] Tensorflow 2: Deep Learning & Artificial Intelligence — 95% Off Coupon

Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!

4.5 64,224 students enrolledCreated by Lazy Programmer Team, Lazy Programmer Inc.Last updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: [2026] Tensorflow 2: Deep Learning & Artificial Intelligence
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Lazy Programmer Team, Lazy Programmer Inc.
•Coupon Verified On: January 6, 2026
•Difficulty Level: All Levels
•Category: Development
•Subcategory: Deep Learning
•Duration: 26h of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs) · Predict Stock Returns · Time Series Forecasting
•Prerequisites: Know how to code in Python and Numpy · For the theoretical parts (optional), understand derivatives and probability
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓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.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

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

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Lazy Programmer Team, Lazy Programmer Inc.. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Lazy Programmer Team, Lazy Programmer Inc.
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the [2026] Tensorflow 2: Deep Learning & Artificial Intelligence Coupon Worth It?

[2026] Tensorflow 2: Deep Learning & Artificial Intelligence is a development course offered on Udemy by instructor Lazy Programmer Team, Lazy Programmer Inc., spanning 26h of on-demand content. It holds a 4.5/5 rating from over 64,224 enrolled students.

Through CourseSpeak, you can access this course with a 95% discount coupon. The coupon was last verified on January 6, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.5/5) and enrollment numbers (64,224 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of January 2026. For individual student reviews, visit the course page directly.

4.5
64,224 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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