What is TensorFlow, and why is it important to learn?

TensorFlow is an open-source framework for machine learning (ML) programming originally created by Google Brain, Google’s deep learning and artificial intelligence (AI) research team. It has become one of the most popular software platforms for machine learning due to its flexibility and a comprehensive ecosystem of tools and resources. For example, TensorFlow.js allows for JavaScript-based ML applications that can run in browsers; TensorFlow Lite can run on mobile devices for federated learning applications; and TensorFlow Hub provides an extensive library of reusable ML models. The flexibility of TensorFlow and breadth of its machine learning applications have been important in enabling a wide range of uses. TensorFlow is frequently used for computer vision applications, including facial recognition in social media, automatic X-ray scanning in healthcare, and autonomous vehicle driving. Similarly, natural language processing (NLP) applications can understand and respond to spoken and written text, making possible the creation of helpful chatbots and other digital agents as well as the automatic reading and summarization of text. Recommendation engines used by music streaming services and online retailers may also be built in TensorFlow. These are all just a few examples of the power of machine learning applications and the ways that TensorFlow can be leveraged to enable them. If you’re interested in pushing the boundaries of this fast-changing field even further, learning TensorFlow is essential.

What kinds of careers can I have with TensorFlow skills?

Expertise in TensorFlow is an extremely valuable addition to your skillset, and can open the door to many exciting careers. As one of the most popular and useful platforms for machine learning and deep learning applications, TensorFlow skills are in demand from companies throughout the tech world, as well as in the automotive industry, medicine, robotics, and other fields. This high level of demand for skills in TensorFlow and machine learning translates into high levels of pay; according to Glassdoor , machine learning engineers in America earn an average salary of $114,121.

Can I learn TensorFlow skills by taking online courses on Coursera?

Absolutely - in fact, Coursera is one of the best places to learn TensorFlow skills online. You can take individual courses as well as Specializations spanning multiple courses from deeplearning.ai, one of the pioneers in the field, or Google Cloud, an industry leader. You can also take courses from top-ranked universities from around the world, including Imperial College London and National Research University Higher School of Economics. Guided Projects from Coursera offer another way to learn, with hands-on Tensorflow tutorials presented by experienced instructors.

What skills or experience do I need to already have, before starting to learn TensorFlow?

You need to have a basic understanding of Python before starting to learn TensorFlow, so it's best to start with an introductory course to this programming language first. Python is the language used to design TensorFlow. It's also helpful to have knowledge of artificial intelligence (AI) concepts as well. You should have strong math skills, especially in algebra so that you'll be familiar with the calculations and algorithms required in TensorFlow. Foundational knowledge of vectors, scalars, and matrices is also very helpful as you start learning TensorFlow, as well as basic statistics. And it's important to know the basics of machine learning as well.

What kinds of people are best suited for roles in TensorFlow?

People who are best suited for roles in TensorFlow have an interest in machine learning or deep learning. Important soft skills include communication skills, problem-solving skills, time management, teamwork, and a thirst for learning. Someone who uses TensorFlow in their job likely works with a team of professionals like software engineers, research scientists, marketing teams, data scientists, and product teams, so they must be able to communicate clearly, prioritize tasks, and work toward a common goal. And since fields that use TensorFlow—such as AI, machine learning, and deep learning—are constantly evolving, people who adapt well to change and are eager to learn or develop the next new technology are well suited for these roles.

How do I know if learning TensorFlow is right for me?

If you are currently in the machine learning field or aspire to be, learning about TensorFlow is most likely right for you. The same applies if you want to enter the deep learning field in positions like deep learning scientist, deep learning software engineer, or deep learning researcher since TensorFlow is a good starting point for deep learning. If you're in a deep learning internship, learning TensorFlow is right for you as well.

What are the benefits of taking an online TensorFlow course?

Online TensorFlow courses offer a convenient and flexible way to enhance your knowledge or learn new TensorFlow skills. Choose from a wide range of TensorFlow courses offered by top universities and industry leaders tailored to various skill levels.

What TensorFlow courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in TensorFlow, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Tensorflow Courses - Learn Tensorflow Online

Explore the TensorFlow Course Catalog

Google Cloud
ML Pipelines on Google Cloud - Français
Skills you'll gain: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Tensorflow, Data Pipelines, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning
Advanced · Course · 1 - 3 Months
Google Cloud
ML Pipelines on Google Cloud - 日本語版
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), CI/CD, Tensorflow, Apache Airflow, Data Pipelines, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning
Advanced · Course · 1 - 3 Months
Google Cloud
How Google does Machine Learning en Español
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Machine Learning, Development Environment, Data Ethics, Cloud Computing, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Cloud Services
4.6
Rating, 4.6 out of 5 stars
243 reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
ML Pipelines on Google Cloud - Português
Skills you'll gain: MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Continuous Integration, Google Cloud Platform, Tensorflow, Kubernetes, Continuous Deployment, Scikit Learn (Machine Learning Library), Containerization, Machine Learning
Advanced · Course · 1 - 3 Months
University of Colorado Boulder
Deep Learning Applications for Computer Vision
Skills you'll gain: Computer Vision, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Performance Tuning, Supervised Learning, Algorithms
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
85 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Google Cloud
Introduction to Image Generation
Skills you'll gain: Generative AI, Google Cloud Platform, Image Analysis, Tensorflow, PyTorch (Machine Learning Library), Deep Learning, Unsupervised Learning, Applied Machine Learning
4.5
Rating, 4.5 out of 5 stars
154 reviews
Beginner · Course · 1 - 4 Weeks
LearnQuest
AI for Scientific Research
Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Artificial Neural Networks, Data Analysis, Deep Learning, Predictive Modeling
3.3
Rating, 3.3 out of 5 stars
71 reviews
Beginner · Specialization · 3 - 6 Months
Google Cloud
Feature Engineering en Español
Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Applied Machine Learning, Keras (Neural Network Library), Data Transformation, Data Processing, Data Modeling, Machine Learning, Deep Learning
4.4
Rating, 4.4 out of 5 stars
37 reviews
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Creating Multi Task Models With Keras
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Image Analysis
4.7
Rating, 4.7 out of 5 stars
75 reviews
Intermediate · Guided Project · Less Than 2 Hours
Edureka
Machine Learning and NLP Basics
Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Supervised Learning, Artificial Neural Networks, Reinforcement Learning
3.6
Rating, 3.6 out of 5 stars
18 reviews
Beginner · Course · 1 - 4 Weeks
Microsoft
Perform data science with Azure Databricks
Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Scikit Learn (Machine Learning Library), Applied Machine Learning, Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Exploratory Data Analysis
3.2
Rating, 3.2 out of 5 stars
72 reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
Google Cloud Big Data and Machine Learning Fundamentals 日本語版
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Big Data, Cloud Infrastructure, Data Visualization, Real Time Data, Dashboard, MLOps (Machine Learning Operations), Cloud Services, Artificial Intelligence and Machine Learning (AI/ML), Data Warehousing, Machine Learning
4.5
Rating, 4.5 out of 5 stars
240 reviews
Beginner · Course · 1 - 3 Months