9 Best Tensorflow Courses & Certifications Online in 2024- Discover the Best One!

Are you looking for Best Tensorflow Courses Online?. but unable to find a good one, then check out these best courses to learn Tensorflow. I have listed 9 Best Tensorflow Courses Online after filtering out hundreds of courses. So, give your few minutes to this article and find out the Best Tensorflow Course for you.

In a hurry?… jump directly to the courses here

Tensorflow is one of the most popular open-source Deep Learning Library. It is designed to perform both numeric and neural network-oriented problems.

Before learning Tensorflow, you should know, Why Tensorflow is important in Machine Learning?.

So, let’s have a look at Tensorflow features-

Why TensorFlow?

I will explain with the help of TensorFlow features. So, these are some important features of Tensorflow-

• With the help of TensorFlow, we can visualize each and every part of the graph which is not an option while using Numpy or SciKit.
• Tensorflow is easily trainable on CPU as well as GPU for distributed computing.
• Tensorflow offers Parallel Neural Network Training. That means you can train multiple neural networks and multiple GPUs. This feature makes the models very efficient on large-scale systems.
• Tensorflow has a huge team because it is developed by Google.
• The best part about Tensorflow is that it is open source so anyone can use it as long as they have internet connectivity.
• Availability of Statistical Distributions such as Bernoulli, Beta, Chi2, Uniform, and Gamma.

These are very few features of Tensorflow that I discussed. Tensorflow has lots of other features too. I hope now you understood the importance of Tensorflow.

Before we dive into the courses, let me tell you, on what criteria these courses are “Best Tensorflow Courses Online”-

Criteria-

1. Rating of these Courses.
2. Coverage of Topics.
3. Engaging trainer and Interesting lectures.
4. Number of Students Benefitted.
5. Good Reviews from various aggregators and forums.

Now without further delay, let’s start finding the Best Tensorflow Courses Online-

Best Tensorflow Courses Online

Courses List-

1. TensorFlow in Practice Specialization

Provider- deeplearning.ai

Rating- 4.7/5

Time to Complete- 4 Months (5 hours/week)

This specialization program is a good start for beginners. In this specialization, you will learn all the basics of TensorFlow. This is a 4-course series specialization program.

This program starts with developing an understanding of how to build and train neural networks. You will learn how to teach machines to understand, analyze, and respond to human speech with natural language processing systems.

You will also learn how to process text, represent sentences as vectors, and input data to a neural network. Along with you will train an AI to create original poetry. Now, let’s see the details of the courses-

Courses List-

1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
2. Convolutional Neural Networks in TensorFlow
3. Natural Language Processing in TensorFlow
4. Sequences, Time Series, and Prediction

Now, let’s see what skills you will gain after completing this program-

Skills Gain-

• Computer Vision
• Convolutional Neural Network
• Machine Learning
• Natural Language Processing
• Tensorflow
• Inductive Transfer
• Augmentation
• Dropouts
• Tokenization
• RNNs
• Forecasting
• Time Series

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Who is a beginner in Tensorflow and have basic knowledge of Machine Learning algorithms.

Interested to Enroll?

If yes, then check out all details here- TensorFlow in Practice Specialization

2. TensorFlow: Data and Deployment Specialization

Provider- deeplearning.ai

Rating- 4.5/5

Time to Complete- 4 Months (4 hours/week)

This specialization is the next and advanced part of the previous “TensorFlow in Practice Specialization“. In this specialization, you will learn how to get your machine learning models into the hands of real people on all kinds of devices.

You will apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow Hub, TensorBoard, and more. This specialization is 4-course series. Now, let’s see the course details-

Courses List-

1. Browser-based Models with TensorFlow.js
2. Device-based Models with TensorFlow Lite
3. Data Pipelines with TensorFlow Data Services
4. Advanced Deployment Scenarios with TensorFlow

Now, let’s see what skills you will gain after completing this program-

Skills Gain-

• Machine Learning
• Tensorflow
• Advanced deployment
• Object Detection
• JavaScript
• Convolutional Neural Network
• TensorFlow.js
• TensorFlow Lite
• Mathematical Optimization
• TensorFlow Serving
• Federated learning
• TensorFlow Hub

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Who has basic familiarity with modeling in TensorFlow,. And comfortable with JavaScript and Swift.

Interested to Enroll?

If yes, then check out all details here- TensorFlow: Data and Deployment Specialization

3. Machine Learning with TensorFlow on Google Cloud Platform Specialization

Provider- Google Cloud

Rating- 4.5/5

Time to Complete- 3 months (6 hours/week)

This is another great specialization for TensorFlow. In this specialization, you will design and build a TensorFlow 2.x input data pipeline. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, and optimization, with hands-on labs using Google Cloud Platform.

This specialization program is a 5 course series. Now, let’s see the course details-

Courses List-

1. How Google does Machine Learning
2. Launching into Machine Learning
3. Introduction to TensorFlow
4. Feature Engineering
5. Art and Science of Machine Learning

Skills Gain-

• Tensorflow
• Machine Learning
• Feature Engineering
• Cloud Computing
• Application Programming Interfaces (API)
• Inclusive ML
• Google Cloud Platform
• Bigquery
• Data Cleansing
• Python Programming
• Build Input Data Pipeline
• keras

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Who has data engineering or programming experience and are interested in learning how to apply machine learning in practice.

Interested to Enroll?

If yes, then check out all details here-Machine Learning with TensorFlow on Google Cloud Platform Specialization

4. Intro to Machine Learning with TensorFlow 

Provider- Udacity

Time to Complete- 3 months (10 hrs/week)

This is a Nano-Degree Program. In that program, you will learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then this program will cover deep and unsupervised learning.

The best part of this program is that at each step, you will get practical experience by applying your skills to code exercises and projects.

Now, let’s see the topics covered in this Nano-Degree Program-

Topics Covered-

1. Supervised Learning
2. Deep Learning
3. Unsupervised Learning

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Personal career coaching, Interview preparations, Resume services, Github review, and LinkedIn profile review.

Who Should Enroll?

• Who has Intermediate Python programming knowledge.
• Who is familiar with data structures like dictionaries and lists.
• Who has Basic knowledge of probability and statistics.
• This is especially for those who have experience in Python but have not yet studied Machine Learning topics.

Interested to Enroll?

If yes, then check out all details here- Intro to Machine Learning with TensorFlow

5. Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization

Provider- Google Cloud

Rating- 4.5/5

Time to Complete- 3 months (5 hours/week)

This specialization program is an advanced level program focused on advanced machine learning topics using Google Cloud Platform. This specialization program teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text.

This specialization is a 5- Course series. Let’s see the courses details-

Courses List-

1. End-to-End Machine Learning with TensorFlow on GCP
2. Production Machine Learning Systems
3. Image Understanding with TensorFlow on GCP
4. Sequence Models for Time Series and Natural Language Processing
5. Recommendation Systems with TensorFlow on GCP

Now, let’s see what skills you will gain after completing this program-

Skills Gain-

• Tensorflow
• Convolutional Neural Network
• Estimator
• Advanced Machine Learning

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Who has basic Knowledge of machine learning and TensorFlow.
• Experience coding in Python.
• Knowledge of basic statistics.

Interested to Enroll?

If yes, then check out all details here-Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization

6. Deep Learning Specialization– (deeplearning.ai)

Provider- deeplearning.ai

Rating- 4.8/5

Time to Complete- 4 months (5 hours/week)

This course is taught by Andrew Ng (the Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University).

This Deep Learning Specialization is advanced course series for those who want to learn Deep Learning and Neural Network.

Python and TensorFlow are used in this specialization program for Neural Network. More than 250,000 learners from all over the globe have already enrolled in this Specialization Program.

This is a Specialization Program that contains 5 courses. Now, let’s see all the 5 courses of this Specialization Program-

Courses List-

1. Neural Networks and Deep Learning
2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization
3. Structuring Machine Learning Projects
4. Convolutional Neural Networks
5. Sequence Models

Now, let’s see what skills you will gain after completing this program-

Skills Gain-

• TensorFlow
• Convolutional Neural Network
• Artificial Neural Network
• Deep Learning
• Back-propagation
• Python Programming
• Hyper-parameter
• Hyper-parameter Optimization
• Machine Learning
• Inductive Transfer
• Multi-Task Learning
• Facial Recognition System

Extra Benefits-

• You will get a Shareable Certificate. 
• You will get a chance to work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing.
• Along with that, you will get a chance to hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.

Who Should Enroll?

• Who has some basic understanding of Python.
• Who has a basic knowledge of Linear Algebra and Machine Learning.

Interested to Enroll?

If yes, then check out all details here-Deep Learning Specialization

7. AI & Deep Learning with TensorFlow

Provider- Edureka

In this Deep Learning in TensorFlow with Python Training, you will learn about what is AI, explore neural networks, understand deep learning frameworks, implement various machine learning algorithms using Deep Networks.

In this course, you will learn the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM), and work with libraries like Keras & TFLearn.

Now, let’s see the syllabus of the course course-

Course Syllabus-

1. Introduction to Deep Learning
2. Understanding Neural Networks with TensorFlow
3. Deep dive into Neural Networks with TensorFlow
4. Master Deep Networks
5. Convolutional Neural Networks (CNN)
6. Recurrent Neural Networks (RNN)
7. Restricted Boltzmann Machine (RBM) and Autoencoders
8. Keras API
9. TFLearn API
10. In-Class Project

Now, let’s see what skills you will gain after completing this program-

Skills Gain-

• Deep Learning and TensorFlow Concepts
• Working with Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN)
• Proficiency in Long short-term memory (LSTM)
• Implementing Keras, TFlearn, Autoencoders
• Implementing Restricted Boltzmann Machine (RBM)
• Knowledge of Neural Networks & Natural Language Processing (NLP)
• Using Python with TensorFlow Libraries
• Perform Text Analytics
• Perform Text Processing

Extra Benefits-

• You will get Edureka’s Deep Learning Engineer Certificate.
• You will get Lifetime access to presentations, quizzes, installation guides.
• Along with that, you will get a 24 x 7 Expert Support, who is committed to answering all your queries.

Who Should Enroll?

• Who has Basic programming knowledge in Python and familiar with Machine Learning Concepts.

Interested to Enroll?

If yes, then check out all details here-AI & Deep Learning with TensorFlow.

8. Advanced Machine Learning Specialization

Rating- 4.5/5

Provider- National Research University Higher School of Economics

Time to Complete- 10 Months (6 hours/week)

This Specialization series is an advanced series of courses. If you want to learn more than the basics of Machine Learning, then this is the best choice for you.

This specialization program fills out all the gaps in your knowledge in Machine Learning. As this is an advanced series of courses, that’s why you need to have more math knowledge.

In short, this specialization program is for those who are already in the industry. This course will sharpen your Machine learning skills.

Throughout this Specialization program, you will create several projects, that will help you to build a more powerful portfolio.

This Specialization Program contains 7 Courses. Let’ see the details of courses-

Courses List-

1. Introduction to Deep Learning
2. How to Win a Data Science Competition: Learn from Top Kagglers
3. Bayesian Methods for Machine Learning
4. Practical Reinforcement Learning
5. Deep Learning in Computer Vision
6. Natural Language Processing
7. Addressing Large Hadron Collider Challenges by Machine Learning

Now, let’s see what skills you will gain after completing this program-

Skills Gain-

• Recurrent Neural Network
• TensorFlow
• Convolutional Neural Network
• Deep Learning
• Data Analysis
• Feature Extraction
• Feature Engineering
• Xgboost
• Bayesian Optimization
• Gaussian Process
• Markov Chain Monte Carlo (MCMC)
• Variational Bayesian Methods

Extra Benefits-

• You will get a Shareable Certificate.
• You will get a chance to work on a wide variety of real-world problems like image captioning and automatic game playing.
• Along with that, you will get a chance to take advice from Top Kaggle machine learning practitioners and CERN scientists.

Who Should Enrol?

• Who has Intermediate level knowledge in Machine Learning.
• Or the one who is already in the industry and wants to sharpen Machine Learning skills.

Interested to Enroll?

If yes, then check out all details here- Advanced Machine Learning Specialization

9. Tensorflow 2.0: Deep Learning and Artificial Intelligence

Rating- 4.6/5

Provider- Udemy

Time to Complete- 21 hours

This course is for beginner-level students. This course starts with some very basic machine learning models and advances to state of the art concepts. After that,  you will learn deep learning concepts, such as Deep Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks.

Extra Benefits-

• You will get a Certificate of Completion.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?

• Who is beginner and want to learn about deep learning and AI in Tensorflow 2.0.

Interested to Enroll?

If yes, then check out all details here-Tensorflow 2.0: Deep Learning and Artificial Intelligence.

That’s all!. These are Best Tensorflow Courses Online. Now, it’s time to wrap up.

Conclusion

I hope these Best Tensorflow Courses Online will help you and give you in-depth knowledge of Tensorflow. My aim is to provide you the best resources for Learning. If you have any doubt or questions, feel free to ask me in the comment section.

Tell me in the comment section, which course you like.

All the Best!

Happy Learning!

Thank YOU!

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Though of the Day…

‘ Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young.

– Henry Ford