10 Best Tensorflow Courses and Certifications Online 2023

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There are thousands of online courses and classes that will help you enhance your Tensorflow abilities and earn your Tensorflow certificate.

In this post, our experts have assembled a curated list of the 10 Best of the Best Tensorflow courses, tutorials, training programs, classes and certifications that are available online right now.

We have actually included just those courses that meet our top quality standards. We have actually put a great deal of effort and time into collecting these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Tensorflow Courses and Certifications Online

Course Name	Enrolled Students (Count)	Reviews (count)
1. Complete Guide to TensorFlow for Deep Learning with Python Our Best Pick	92744+	16491+
2. A Complete Guide on TensorFlow 2.0 using Keras API	52955+	1827+
3. Complete Tensorflow 2 and Keras Deep Learning Bootcamp	39017+	6498+
4. TensorFlow Developer Certificate in 2022: Zero to Mastery	34191+	4562+
5. Android Machine Learning with TensorFlow lite in Java/Kotlin	24261+	215+
6. Deep Learning with TensorFlow 2.0 [2022]	19626+	2209+
7. TensorFlow 2.0 Practical	5813+	646+
8. TensorFlow 2.0 Practical Advanced	5207+	336+
9. Tensorflow Deep Learning – Data Science in Python	2782+	242+
10. Deep Learning with TensorFlow	2044+	237+

1. Complete Guide to TensorFlow for Deep Learning with Python by Jose Portilla Udemy Course Our Best Pick

Learn how to use Google’s Deep Learning Framework – TensorFlow with Python! Solve problems with cutting edge techniques!

As of right now, more than 92744+ people have enrolled in this course and there are over 16491+ reviews.

Course Content

Introduction
Installation and Setup
What is Machine Learning?
Crash Course Overview
Introduction to Neural Networks
TensorFlow Basics
Convolutional Neural Networks
Recurrent Neural Networks
Miscellaneous Topics
AutoEncoders
Reinforcement Learning with OpenAI Gym
GAN – Generative Adversarial Networks
BONUS

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2. A Complete Guide on TensorFlow 2.0 using Keras API by “Hadelin de Ponteves, Ligency I Team, Luka Anicin, Ligency Team” Udemy Course

Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

As of right now, more than 52955+ people have enrolled in this course and there are over 1827+ reviews.

Course Content

Introduction
TensorFlow 2.0 Basics
Artificial Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Transfer Learning and Fine Tuning
Deep Reinforcement Learning Theory
Deep Reinforcement Learning for Stock Market trading
Data Validation with TensorFlow Data Validation (TFDV)
Dataset Preprocessing with TensorFlow Transform (TFT)
Fashion API with Flask and TensorFlow 2.0
Image Classification API with TensorFlow Serving
TensorFlow Lite: Prepare a model for a mobile device
Distributed Training with TensorFlow 2.0
Annex 1 – Artificial Neural Networks Theory
Annex 2 – Convolutional Neural Networks Theory
Annex 3 – Recurrent Neural Networks Theory
Bonus Lectures

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3. Complete Tensorflow 2 and Keras Deep Learning Bootcamp by Jose Portilla Udemy Course

Learn to use Python for Deep Learning with Google’s latest Tensorflow 2 library and Keras!

As of right now, more than 39017+ people have enrolled in this course and there are over 6498+ reviews.

Course Content

“Course Overview, Installs, and Setup
COURSE OVERVIEW CONFIRMATION
NumPy Crash Course
Pandas Crash Course
Visualization Crash Course
Machine Learning Concepts Overview
Basic Artificial Neural Networks – ANNs
Convolutional Neural Networks – CNNs
Recurrent Neural Networks – RNNs
Natural Language Processing
AutoEncoders
Generative Adversarial Networks
Deployment”

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4. TensorFlow Developer Certificate in 2022: Zero to Mastery by “Andrei Neagoie, Daniel Bourke, Zero To Mastery” Udemy Course

“Pass the TensorFlow Developer Certification Exam by Google. Become an AI, Machine Learning, and Deep Learning expert!”

As of right now, more than 34191+ people have enrolled in this course and there are over 4562+ reviews.

Course Content

Introduction
Deep Learning and TensorFlow Fundamentals
Neural network regression with TensorFlow
Neural network classification in TensorFlow
Computer Vision and Convolutional Neural Networks in TensorFlow
Transfer Learning in TensorFlow Part 1: Feature extraction
Transfer Learning in TensorFlow Part 2: Fine tuning
Transfer Learning with TensorFlow Part 3: Scaling Up
Milestone Project 1: Food Vision Big™
NLP Fundamentals in TensorFlow
Milestone Project 2: SkimLit
Time Series fundamentals in TensorFlow + Milestone Project 3: BitPredict
Passing the TensorFlow Developer Certificate Exam
Where To Go From Here?
Appendix: Machine Learning Primer
Appendix: Machine Learning and Data Science Framework
Appendix: Pandas for Data Analysis
Appendix: NumPy
BONUS SECTION

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5. Android Machine Learning with TensorFlow lite in Java/Kotlin by Hamza Asif Udemy Course

“Learn Machine Learning use in Android using Kotlin Java Android studio and Tensorflow Lite , Build 10+ ML Android Apps”

As of right now, more than 24261+ people have enrolled in this course and there are over 215+ reviews.

Course Content

Introduction
Setting up the environment
Learning Python
Data Science Libraries
Machine Learning and Deep Learning
Tensorflow
Training First model and creating Android Application
Concrete function and Saved model examples
Predicting Fuel Efficiency of automobiles
Handwritten digits recognition application
Recognition Section
Cats and Dogs Classification
Rock Paper and Scissors Problem
Practice Activity 1 Predict Fitness of a Person
Practice Activity 2 Human and Horses
Bonus

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6. Deep Learning with TensorFlow 2.0 [2022] by “365 Careers, 365 Careers Team” Udemy Course

“Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case”

As of right now, more than 19626+ people have enrolled in this course and there are over 2209+ reviews.

Course Content

Welcome! Course introduction
Introduction to neural networks
Setting up the working environment
Minimal example – your first machine learning algorithm
TensorFlow – An introduction
Going deeper: Introduction to deep neural networks
Backpropagation. A peek into the Mathematics of Optimization
Overfitting
Initialization
Gradient descent and learning rates
Preprocessing
The MNIST example
Business case
Appendix: Linear Algebra Fundamentals
Conclusion
Bonus lecture

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7. TensorFlow 2.0 Practical by “Dr. Ryan Ahmed, Ph.D., MBA, Ligency I Team, Mitchell Bouchard, Ligency Team” Udemy Course

“Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 10 practical projects”

As of right now, more than 5813+ people have enrolled in this course and there are over 646+ reviews.

Course Content

INTRODUCTION AND COURSE OUTLINE
BUILD YOUR FIRST SIMPLE PERCEPTRON (SINGLE NEURON) MODEL IN TF 2.0
BUILD A MULTI LAYER ARTIFICIAL NEURAL NETWORKS FOR REGRESSION TASKS
ARTIFICIAL NEURAL NETWORKS FOR CLASSIFICATION TASKS
DEEP LEARNING FOR IMAGE CLASSIFICATION
MODEL DEPLOYMENT USING TF SERVING

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8. TensorFlow 2.0 Practical Advanced by “Dr. Ryan Ahmed, Ph.D., MBA, Ligency I Team, Mitchell Bouchard, Ligency Team” Udemy Course

“Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects”

As of right now, more than 5207+ people have enrolled in this course and there are over 336+ reviews.

Course Content

INTRODUCTION AND COURSE OUTLINE
REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS
TRANSFER LEARNING (TF HUB)
AUTOENCODERS
DEEP DREAM
GANs
RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs
TENSORFLOW SERVING AND TENSORBOARD

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9. Tensorflow Deep Learning – Data Science in Python by Minerva Singh Udemy Course

Tensorflow Deep Learning Python : Tensorflow Neural Network Training : Tensorflow Models – Android Java : Tensorflow C#

As of right now, more than 2782+ people have enrolled in this course and there are over 242+ reviews.

Course Content

INTRODUCTION TO TENSORFLOW : The Key Concepts and Software Tools
Introduction to TensorFlow
Other Python Packages and Their Interaction with Tensorflow
Statistical Modelling with Tensorflow
Introduction to Machine Learning
Unsupervised Learning
Supervised Learning
Artificial Neural Networks and Deep Learning with Tensorflow
Convolution Neural Network (CNN) For Image Analysis
Miscellaneous Section

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10. Deep Learning with TensorFlow by Packt Publishing Udemy Course

Channel the power of deep learning with Google’s TensorFlow!

As of right now, more than 2044+ people have enrolled in this course and there are over 237+ reviews.

Course Content

Getting Started
Deep Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Wrapping Up

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Here are some frequently asked questions about learning Tensorflow

How Long Does It Take to Learn Tensorflow?

The answer to the question “How long does it ttake to learn Tensorflow” is … it depends. Everybody has different requirements, and everybody is working in different situations, so the answer for someone may be completely different than for someone else.

Think about these questions: What are you trying to Learn Tensorflow for? Where is your starting point? Are you a newbie or do you have experience with Tensorflow? How much can you practice? 1 hour each day? 40 hours each week? Check out this course about Tensorflow.

Is Tensorflow Easy Or Hard to Learn?

No, learning Tensorflow isn’t hard for the majority of people. Check this course on how to Learn Tensorflow in no time!

How to Learn Tensorflow Fast?

The fastest method to Learn Tensorflow is to first get this Tensorflow course, then practice whatever you learn whenever you can. Even if its just 15 minutes a day of practice. Consistency is key.

Where to Learn Tensorflow?

If you want to explore and learn Tensorflow, then Udemy offers you the best platform to learn the Tensorflow. Check this course on how to Learn Tensorflow in no time!

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