Best Coursera Tensorflow Tutorial and Courses Online

With 30 million plus registered users, Coursera has become an established MOOC platform to learn topics of various genres.

Coursera is popular for their series of specialization courses that helps you master a particular skill.

Best Coursera Tensorflow Tutorial and Courses Online

Every specialization course comes with a hands-on project and course completion certificate.

Is Coursera Free?

No. You need to pay a fee in order to get course certification (ranging from $29 to $95) for the courses you wish to study.

Some Coursera courses facilitate onetime payment fee that lasts for 180 days.

If you enrol to courses that are part of a specialization, you have to opt for monthly subscriptions.

All these courses are curated and taught by professors from world’s best universities.

If you are wanting to learn tensorflow courses in Coursera, these handpicked courses can give you a better option to start with.

Built by Google, TensorFlow is an open source machine learning computational framework.

Best Coursera TensorFlow Course Online – Our Picks

Intro to TensorFlow – Google Cloud

This is part of the 5 course specialization Machine Learning with TensorFlow  launched by Google Cloud in May 2018.

Also, it is one of the top 10 data science specializations on Coursera.

The course has subtitles in English, French, Portugese, German , Spanish and Japanese.

Course Ratings: 4.5+ from 855+ students

Key Learning’s from the Course:

  • Create Machine Learning Models in TensorFlow
  • How to use TensorFlow libraries to solve numerical problems
  • Troubleshoot and debug common TensorFlow code pitfalls
  • Create, train and evaluate an machine learning model using tf.estimator
  • How to scale ML models with Cloud ML engine

Who is this course best suited?

For those who want a basic understanding of TensorFlow and how to deploy in Google Cloud.

Skills Gained from the Course: Application Programming Interfaces, Estimator, Machine Learning, TensorFlow and Cloud Computing

Course Reviews

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End to End Machine Learning with TensorFlow on GCP – Google Cloud

This is an introductory course of the 5 course Google cloud specialization course Advanced ML with TensorFlow.

A refresher course to know how to do end to end ML with real world applications!

Available only with English subtitles.

Course Ratings: 4.6+ from 189+ students

Key Learning’s from the Course:

  • Step to deploy ML in a typical production environment
  • How to explore a large dataset using Datalab and BigQuery
  • How to use Pandas in Datalab
  • Build a ML model in TensorFlow
  • How to pre process data at scale on Google Cloud engine

Who is this course best suited?

If you are looking to learn end to end machine learning production pipeline using TensorFlow.

Skills Gained from the Course:  TensorFlow, Machine Learning, Datalab, Pandas and Google Cloud Platform (GCP)

Course Reviews

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Launching into Machine Learning – Google Cloud

This is a popular TensorFlow tutorial in Coursera to know the history of what machine learning is all about.

The course has subtiles in English, French, Portugese, German, Spanish and Japanese.

Course Ratings: 4.5+ from 1,147+ students

Key Learning’s from the Course:

  • Introduction to deep learning
  • Optimise and evaluate models using loss functions and performance metrics
  • How to mitigate ML data problems
  • Create repeatable and scalable training, evaluation and test datasets

Who is this course best suited?

For all those interested in Machine learning basics and its different algorithms.

Skills Gained from the Course: TensorFlow, BigQuery, Machine Learning and Data Cleansing

Course Reviews

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Serverless ML with TensorFlow on GCP – Google Cloud

Part of Data engineering specialization course, it gives you a hands on introduction in designing and building machine learning models on GCP.

Available only with English subtitles.

Course Ratings: 4.4+ from 1,296+ students

Key Learning’s from the Course:

  • Identify use cases for machine learning
  • Build an ML model using TensorFlow
  • Build scalable, deployable ML models using Cloud ML
  • Importance of preprocessing and combining features
  • How to incorporate advance ML concepts into their models
  • Productionize trained ML models

Who is this course best suited?

If you are looking for advanced topics on model building and feature engineering with Google Cloud implementation.

Skills Gained from the Course: Machine Learning, GCP, Feature Engineering, TensorFlow and Cloud Computing

Course Reviews

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Introduction to Deep Learning – National Research University

An advance machine learning course, it aims to teach basic understanding of modern neural networks and their applications in computer vision and natural language understanding.

Taught by National Research University, this course is part of their Advance Machine Learning Specialization.

Course Ratings: 4.6+ from 700+ students

Key Learning’s from the Course:

  • Learn linear models and stochatic optimization method
  • Deep neural network concept
  • How to build convolutional neural network (CNN) architectures
  • How to generate, morph and search images with deep learning
  • About RNN architectures for sequences
  • Apply neural networks for real world images and text.

Who is this course best suited?

If you are looking to learn advanced tools used in deep learning techniques.

Skills Gained from the Course:  Recurrent Neural Network, TensorFlow, Convolutional Neural Network and Deep Learning

Course Reviews

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Google Cloud Platform Big Data and Machine Learning Fundamentals – Google Cloud

The course provides quick overview of Google Cloud Platform and a deeper dive into the data processing capabilities of GCP.

This is an introductory course of the Data Engineering on GCP Specialization.

Course Ratings: 4.6+ from 4,143+ students

Key Learning’s from the Course:

  • Identify the purpose and value of Big data and ML in GCP
  • How to use CloudSQL and Cloud Dataproc in Google cloud platform
  • Interactive data analysis using BigQuery and Datalab
  • Train and use a neural network using TensorFlow
  • How to pick and choose different data processing products on Google Cloud Platform

Who is this course best suited?

If you are looking to understand GCP, Big Data and ML fundamentals.

Skills Gained from the Course: TenserFlow, Bigquery, GCP and Cloud Computing

Course Reviews

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Convolutional Neural Networks

Part of the Deep learning specialization, the course teaches you how to build convolutional neural networks and how to apply it to image data.

Subtitles available in English, Chinese, Korean and Japanese.

Course Ratings: 4.8+ from 17,166+ students

Key Learning’s from the Course:

  • How to build a convolutional neural network
  • How to apply CNN to visual detection and recognition tasks
  • Use neural style transfer to generate art
  • Apply deep learning algorithms to images, videos and 2D or 3D data

Who is this course best suited?

If you are interested to dive deeper into the world of convolutional networks.

Skills Gained from the Course: Facial recognition system, TensorFlow, CNN and Artificial Neural Network

Course Reviews

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Do you recommend any other Coursera Tensorflow online courses worth enrolling into? Let us know in the comments section.

Happy Learning!

Best Coursera Tensorflow Tutorial and Courses Online
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