Learn How To Program For Machine Learning With 2024‘s Top 11 Best Online TensorFlow Courses
TensorFlow has risen in popularity over the years as one of the top machine learning frameworks used throughout the deep learning industry and academic institutions. So if you want to break into this exciting field and build powerful applications, you’ve come to the right place!
In this article, I have rounded up the best online TensorFlow courses in 2024 that will get you up and running with this industry-standard deep learning framework. You will learn how to build machine learning models that solve complex problems, deploy them, and much more.
You will get a lot of hands-on practice while going through these online courses, so you’ll feel quite comfortable working on real-life projects. And in some cases, you’ll leave with a certificate or degree. Let’s get started!
Top 11 Best Online TensorFlow Courses & Certificates (2024) (Free + Paid)
1. Intro to Machine Learning with TensorFlow (Udacity)
First on my list is a TensorFlow course from Udacity that will begin by teaching you foundational machine learning algorithms, including data cleaning and supervised models, before advancing to deep and unsupervised learning. Why start with a program this comprehensive? Well, according to Forbes, hiring growth for AI roles has grown 74% annually in the past 4 years. And a program that gets you a well-respected degree will set you apart.
What else is unique about Udacity’s nanodegrees? Let’s start with the instructors. They’re strong academic teachers and successful leaders in the field.
Here’s a sample:
- Mat Leonard is Education Program Lead at OpenMinded and a former physicist, research neuroscientist, and data scientist. He did his Ph.D. and Postdoctoral Fellowship at the University of California, Berkeley.
- Luis Serrano was formerly a Machine Learning Engineer at Google. He holds a Ph.D. in mathematics from the University of Michigan and a Postdoctoral Fellowship at the University of Quebec at Montreal.
- Dan Romuald Mbanga leads Amazon AI’s Business Development efforts for Machine Learning Services. Day to day, he works with customers—from startups to enterprises—to ensure they are successful at building and deploying models on Amazon SageMaker.
- Jennifer Staab is a Data Analyst at Electronic Arts and has a Ph.D. in Computer Science and a Master’s Degree in Biostatistics; she was a professor at Florida Polytechnic University. She previously worked at RTI International and United Therapeutics as a statistician and computer scientist.
In this 3-month course, you’ll also benefit from partnering with amazing companies to develop projects that test your skills by solving real problems. In the case of this course, Udacity has teamed up with Amazon Web Services and Kaggle. You’ll also be assigned a technical mentor for personal direction and coaching. Finally, you’ll have access to the online student community so you can benefit from collaborating with your peers.
- Intermediate level
- 3-month long, nanodegree program
- Taught by practicing machine learning experts
- Financial aid available
- Prerequisites: Intermediate Python knowledge or Udacity’s AI Programming with Python
USE CODE UPSKILL21 FOR AN EXTRA 50% OFF ANY OF UDACITY NANODEGREE COURSES.
2. Neural networks for beginners from scratch in tensorflow (Skillshare)
Next up is a fun online TensorFlow course from Skillshare that will teach you the basics of neural networks before diving deep into the actual deep learning framework. This intermediate-level online course has been taken by close to 300 students.
Your instructor for this online course will be Dan We, an entrepreneur and data scientist. Dan is an expert in business intelligence and data visualization and brings his vast professional experience to bear on what he teaches in this online TensorFlow course.
In this 2 ¾ hours long online course, Dan will start by helping you understand the concepts behind neural networks before going on to core TensorFlow topics like the idea of a tensor, data types in TensorFlow, how to perform operations, building computational graphs, and much more.
With a free 1-month trial of Skillshare Premium, you can take this online TensorFlow course for free, along with hundreds of others!
- Intermediate level
- 2 ¾ hours long
- Taught by data science and data visualization consultant
- Free 1-month trial of Skillshare Premium
3. Building and Deploying Deep Learning Applications with TensorFlow (LinkedIn Learning)
The real value of practicing deep learning lies in the applications that are deployed for users all over the world. This intermediate-level online TensorFlow course on LinkedIn will teach you how to build and deploy deep learning models from scratch on platforms like Google Cloud.
In this online course, you will be taught by Adam Geitgey, a software engineer, and machine learning consultant. Adam has more than 15 years of professional experience with a bachelor’s degree in computer science from the Georgia Institute of Technology.
Through 1 ¾ hours of video lessons, you will go over topics like the basics of building a TensorFlow model, training a deep learning model using data, understanding the computational graph, using visualizations to understand the model better, exporting models, and much more.
If you’re a new or premium LinkedIn user, you can take this online course for free and get a certificate of completion once you’re done with it!
- Intermediate level
- 1 ¾ hours long
- Taught by machine learning consultant with 15+ years of experience
- Certificate of completion
- Free access for new/premium LinkedIn users
4. Machine Learning with TensorFlow on Google Cloud Platform – Specialization (Coursera)
Google – the developer of TensorFlow – has provided its Google Cloud Platform for TensorFlow users worldwide to build machine learning applications. This 5-course specialization on Coursera will enable you to do end-to-end machine learning using GCP.
You will be provided with instructors for this online TensorFlow specialization by the Google Cloud Training team. Rest assured, you will learn from the company that built TensorFlow and has taught over 1 million learners on Coursera through 248 courses.
You will have 5 intermediate-level courses in this specialization that will take you 4 months to complete if you study 5 hours a week. During this period, you will launch yourself into the world of machine learning, learn TensorFlow, the basics of feature engineering, and much more.
Don’t worry if you cannot afford the monthly subscription fees – you can apply for financial aid to each online course and complete the entire specialization for free!
- Intermediate level specialization of 5 courses
- 4 months long with 5 effort hours per week
- Taught by Google Cloud Training team
- Certificates of completion
- Financial aid available
5. Complete Guide to TensorFlow for Deep Learning with Python (Udemy)
If you’re on the lookout for an online TensorFlow course that will teach you all the latest technologies that have emerged in deep learning, this is the one you should go for. Over 83,000 students have taken this intermediate-level online course on Udemy.
As for your instructor, Jose Portilla will be teaching you in this online course. Jose heads the data science department at Pierian Data, Inc., and has published over 30 courses on Udemy, teaching over 2 million students worldwide.
In this comprehensive 14 hours long online course, Jose will take you through all the various fields in deep learning from the perspective of implementing them in TensorFlow. You will learn about convolutional and recurrent neural networks, auto-encoders, generative networks, and much more.
You will get full lifetime access to the contents of this online TensorFlow course – so you can come back to review anything that gets rusty, even when you’ve turned 90!
- Intermediate level
- 14 hours long
- Taught by top Udemy data science instructor
- Full lifetime access
- Certificate of completion
6. Deep Learning Foundations: Natural Language Processing with TensorFlow (LinkedIn Learning)
Next on my list is an intermediate-level online TensorFlow course on LinkedIn that is ideal for those who want to build models using TensorFlow and deploy them through Google’s ML engine. Close to 2,500 people have taken this new online TensorFlow course in just two months.
Harshit Tyagi, an experienced full-stack data software and machine learning engineer, will be teaching you in this online course. Harshit is an experienced LinkedIn Learning instructor who previously worked with research scientists at Yale, MIT, and UCLA on complex data processing algorithms.
Through 2 hours of intense learning in this online course, you will go through a wide range of TensorFlow topics like performing basic and advanced tensor operations, word encodings, and using TensorFlow for tokenization, as well as the key concepts of embeddings and project vectors. You’re certain to enjoy the movie review, Yelp, and poetry projects along the way.
Once you’re done with this online course, you will get a certificate of completion that you can share with your network to let them know that you’ve just entered this new and exciting field!
- Intermediate level
- 2 hours long
- Taught by professional machine learning engineer
- Certificate of completion
- Free access for new/premium LinkedIn users
7. TensorFlow: Getting Started (Pluralsight)
For those of you looking for an online course that starts from scratch and shows how to build simple TensorFlow models before diving into deep learning, this online course is the perfect choice. This online course is ideal for complete beginners and is reviewed at 4 stars by over 200 students.
Your teacher for this online course will be Jerry Kurata, a machine learning enthusiast who has a master’s degree in computer science. Jerry has authored 6 courses on Pluralsight, earning an average instructor rating of 4.5 stars.
In this 2 ½ hours long online TensorFlow course, Jerry will take you through the very basics of TensorFlow such as setting it up on your machine and building your first computational graph, before moving to advanced topics like building end-to-end deep learning models, and much more.
If you’re not feeling convinced about this online course from the get-go, Pluralsight has provided the option to take a free 10-day trial and decide whether you want to carry on!
- Beginner level
- 2 ½ hours long
- Taught by CS graduate and ML enthusiast
- Certificate of completion
- Free 10-day trial
8. Introduction to TensorFlow (Coursera)
TensorFlow 2.x has made building deep learning models quite easy and flexible by integrating Keras, another deep learning framework. Take this intermediate-level online TensorFlow course on Coursera to get yourself comfortable with TensorFlow basics, Keras, and the Google AI Cloud.
Instructors for this online course will be provided by the Google Cloud Training team. The team consists of experts from Google (which has built TensorFlow) who have produced over 200 courses on Coursera and taught over 1 million students.
By investing 19 hours to complete this online course, you will learn all about using the Keras API to build sequential and functional models, design an efficient input data pipeline using TensorFlow, manipulate large datasets, use the Cloud AI Platform to deploy models, and much more.
This online course is ideal for those of you who want to learn at your own pace – with flexible deadlines, you don’t have to worry about falling behind schedule and losing your money!
- Intermediate level
- 19 hours long
- Taught by instructors from Google Cloud Training team
- Certificate of completion
- Financial aid available
9. Learning TensorFlow with JavaScript (LinkedIn Learning)
The development of TensorFlow.js has made deploying powerful machine learning applications on the web easy and efficient. So, take this intermediate-level online TensorFlow course on LinkedIn if you want to learn how to build powerful TensorFlow models and share them through the web.
In this online course, you will be instructed by Emmanuel Henri, a full-stack software developer who has over 20 years of professional experience. His online TensorFlow course has been taken by over 11,000 students and professionals on LinkedIn.
Through this 1 hour long online course, you will become comfortable with using TensorFlow and implementing it in JavaScript. You will go through topics like machine learning basics, working with variables, tensors, models and layers, training models, deploying on the web, and much more.
You can join special learning groups for this online TensorFlow course where you can get help for your confusions and queries and support others to get a holistic learning experience!
- Intermediate level
- 1 hour long
- Taught by a full-stack developer with 20 years of experience
- Certificate of completion
- Free access for new/premium LinkedIn users
10. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)
Next on my list is a highly popular online TensorFlow course on Coursera that has been taken by over 220,000 students from all around the world. This intermediate-level online course will get you comfortable with building scalable deep learning algorithms using TensorFlow and deploying them.
As for your instructor, Laurence Moroney will be teaching you in this online course. Laurence works at Google as a Developer Advocate and focuses on artificial intelligence applications using TensorFlow. He has earned an average rating of 4.8 stars on Coursera.
In this 30 hours long online course, Laurence will take you through the breads and depths of TensorFlow by showing you how to build a basic neural network and train it for a computer vision task, improve its performance through convolutions, use best industry practices, and much more.
This is the first in a series of online courses that will turn you into a TensorFlow expert if you decide to carry on!
- Intermediate level
- 30 hours long
- Taught by Google developer advocate
- Certificate of completion
- Financial aid available
11. Deep Learning Course (with Keras & TensorFlow) Certification Training (Simplilearn)
The final entry on my list is an online TensorFlow certification course on Simplilearn that is well-suited for people experienced with programming, math, and statistics. It has been taken by over 5,000 students and is rated as the top Bootcamp in the world.
You will be provided with instructors for this online course by Simplilearn. The company makes sure that deep learning experts who have a proven ability to teach are selected to develop course contents, so you can be sure that you will be learning from the best in the business.
Through 34 hours of blended learning, you will learn the basics of deep learning using TensorFlow by going through topics like convolutional and recurrent networks, restricted Boltzmann machines, and auto-encoders, and work on real-life industry projects to practice your skills.
As part of this Bootcamp, you will have the opportunity to participate in mentoring sessions from industry experts and set yourself up to succeed in this exciting field!
- Intermediate level
- 34 hours long
- Taught by industry experts vetted by Simplilearn
- TensorFlow Developer Certification
- Mentoring sessions from industry experts
Just getting started? Check out our Big Data and Machine Learning course reviews.
Prefer to build out your Data Analytics toolset instead? Then you’re going to want to go deep on Stata, Tableau or Alteryx.
