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  • Tensorflow

TensorFlow Courses

TensorFlow courses can help you learn neural networks, deep learning techniques, and model deployment strategies. You can build skills in data preprocessing, hyperparameter tuning, and performance evaluation. Many courses introduce tools like Keras for building models, TensorBoard for visualization, and various APIs for integrating AI into applications.

Popular TensorFlow Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Model Deployment, Google Cloud Platform, Data Lakes, Data Pipelines, Dataflow, Tensorflow, Big Data, Extract, Transform, Load, Apache Hadoop, Apache Spark, Real Time Data, Data Processing, Data Integration, Unstructured Data, Dashboard Creation, Data Warehousing, Metadata Management, Applied Machine Learning, Data Architecture, Data Migration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    815 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    179 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, AI literacy, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Model Training, Digital Transformation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    33 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud en Français

    Skills you'll gain: Model Deployment, Dataflow, Data Pipelines, Dashboard Creation, Google Cloud Platform, Data Lakes, Real Time Data, PySpark, Dashboard, Apache Kafka, Tensorflow, Data Governance, Apache Spark, Data Import/Export, Data Warehousing, Data Processing, Extract, Transform, Load, Unstructured Data, Big Data, Operational Databases

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Google Cloud Platform, Dataflow, Data Pipelines, Data Import/Export, Feature Engineering, Data Lakes, Model Deployment, Real Time Data, Dashboard Creation, Apache Kafka, Tensorflow, Data Governance, Data Warehousing, Apache Spark, Dashboard, Data Infrastructure, Data Architecture, Big Data, Extract, Transform, Load, Unstructured Data

    4.3
    Rating, 4.3 out of 5 stars
    ·
    82 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Encoder-Decoder Architecture

    Skills you'll gain: Model Deployment, Keras (Neural Network Library), Model Training, Tensorflow, Generative AI, Generative Model Architectures, Machine Learning Methods, Artificial Neural Networks

    4.3
    Rating, 4.3 out of 5 stars
    ·
    51 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Model Deployment, Cloud Deployment, Performance Testing, Android Development, Model Optimization, Model Evaluation, Image Analysis, PyTorch (Machine Learning Library), AI Integrations, Tensorflow, Hardware Architecture, Artificial Neural Networks, Artificial Intelligence

    4.4
    Rating, 4.4 out of 5 stars
    ·
    28 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Generative AI Models and Transformer Networks Certification

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, Model Training, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing

    3.5
    Rating, 3.5 out of 5 stars
    ·
    14 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Interpretable machine learning applications: Part 3: Coursera
  • Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
  • AI Model Development & Deployment: Coursera
  • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
  • Encoder-Decoder Architecture: Google Cloud
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM

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)

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