• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Tensorflow

    Filter by

    Subject
    Required
     *
    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *
    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Level
    Required
     *
    Duration
    Required
     *
    Skills
    Required
     *
    Subtitles
    Required
     *
    Educator
    Required
     *

    Results for "tensorflow"

    • D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Machine Learning, Python Programming, NumPy, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning Methods, Artificial Intelligence, Text Mining, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vertex Pipelines: Qwik Start

      Skills you'll gain: Machine Learning

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Orchestrating a TFX Pipeline with Airflow

      Skills you'll gain: Cloud Computing, Google Cloud Platform, Machine Learning

      Beginner · Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Artificial Intelligence, Applied Machine Learning, Scalability, Natural Language Processing, Machine Learning Methods, Application Deployment, Reinforcement Learning, User Feedback, Performance Tuning, Application Performance Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      TensorFlow を使った畳み込みニューラルネットワーク

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Français

      3.4
      Rating, 3.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Machine Learning, Feature Engineering, Artificial Intelligence, Unstructured Data, Regression Analysis, Bayesian Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Keras (Neural Network Library), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      P

      Politecnico di Milano

      Technologies and platforms for Artificial Intelligence

      Skills you'll gain: Artificial Intelligence, Infrastructure Architecture, Cloud Platforms, Deep Learning, Hardware Architecture, Computing Platforms, Information Technology, Internet Of Things, Cloud Computing, Embedded Systems, Emerging Technologies, Machine Learning, Data Centers, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      46 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      AI、機械学習、ディープラーニングのための TensorFlow 入門

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      Повышение эффективности глубоких нейросетей

      Skills you'll gain: Leadership and Management

      Beginner · Course · 1 - 4 Weeks

    Searches related to tensorflow

    tensorflow 2 for deep learning
    tensorflow: advanced techniques
    tensorflow prediction: identify penguin species
    tensorflow for beginners: basic binary image classification
    tensorflow: data and deployment
    tensorflow 2 시작하기
    tensorflow を使った畳み込みニューラルネットワーク
    deeplearning.ai tensorflow developer
    1…8910…19

    In summary, here are 10 of our most popular tensorflow courses

    • Neural Networks and Deep Learning: DeepLearning.AI
    • Natural Language Processing with Attention Models: DeepLearning.AI
    • Vertex Pipelines: Qwik Start: Google Cloud
    • Orchestrating a TFX Pipeline with Airflow: Google Cloud
    • Generative AI with Large Language Models: DeepLearning.AI
    • TensorFlow を使った畳み込みニューラルネットワーク: DeepLearning.AI
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Technologies and platforms for Artificial Intelligence: Politecnico di Milano

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Tensorflow

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Placeholder
    Arts and Humanities
    338 courses
    Placeholder
    Business
    1095 courses
    Placeholder
    Computer Science
    668 courses
    Placeholder
    Data Science
    425 courses
    Placeholder
    Information Technology
    145 courses
    Placeholder
    Health
    471 courses
    Placeholder
    Math and Logic
    70 courses
    Placeholder
    Personal Development
    137 courses
    Placeholder
    Physical Science and Engineering
    413 courses
    Placeholder
    Social Sciences
    401 courses
    Placeholder
    Language Learning
    150 courses

    Coursera Footer

    Learn Key Technologies

    • Python
    • SQL
    • Microsoft Excel
    • Power BI
    • Tableau
    • R Programming
    • Git
    • Docker
    • AWS
    • TensorFlow

    Essential Skills

    • Data Analytics
    • Artificial Intelligence
    • Cybersecurity
    • Digital Marketing
    • Machine Learning
    • Statistical Analysis
    • Database Management
    • Web Development
    • Financial Modeling
    • Business Analysis

    Industry Solutions

    • Healthcare Analytics
    • Sales
    • Digital Transformation
    • Supply Chain
    • Marketing Analytics
    • HR Analytics
    • Social Media Marketing
    • Risk Management
    • Sustainability
    • E-commerce

    Career Paths

    • Data Scientist
    • Data Analyst
    • Machine Learning Engineer
    • Full Stack Developer
    • Project Manager
    • Product Manager
    • Data Engineer
    • Digital Marketing Specialist
    • Cybersecurity Analyst
    • Career Aptitude Test

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Do Not Sell/Share
    Learn Anywhere
    Placeholder
    Placeholder
    Placeholder
    © 2025 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder