TensorFlow Certification

Top 3 TensorFlow Certification Programs

Data Science has become an industry of its own. TensorFlow, one of the most popular libraries for data science, is also a major player in this field because of its open source artificial intelligence, and deep learning capabilities.

Any developer can access TensorFlow and build a variety of machine learning applications. If you are looking to get certified in this rapidly growing field, you should look at taking one of the TensorFlow certification programs on this list.

Our Top 3 Picks

Udacity Logo
Introduction to TensorFlow Nanodegree
Best project-based TensorFlow certification
Google Square
Professional Certificate in Google AI
Best web-based TensorFlow program
DataCamp
Introduction to TensorFlow Program
Best starter TensorFlow program

1. Introduction to TensorFlow Nanodegree (Udacity)

Udacity Logo

Learn cutting-edge machine learning concepts using the most popular deep learning platform. The Udacity Introduction to TensorFlow Nanodegree is an intro-level program perfect for those who want to learn the basics of machine learning with TensorFlow.

Throughout the program, you’ll get practical experience with data manipulation, supervised and unsupervised learning, and deep learning algorithms. Learn through exercises and three hands-on projects that you can showcase in your portfolio.

Courses

  1. Supervised Learning – In this course, you will learn how to work with supervised learning algorithms. With this knowledge, you will be able to build better models and predictions with much more accuracy.  You will apply your skills from this course to a project where you evaluate and optimize a supervised learner for a fictitious charity organization.
  2. Deep Learning – Get the skills you need to build intelligent AI applications with TensorFlow. In this course, you will learn the basics of neural network design and training, which will allow you to build more sophisticated models and applications. Finally, you will apply what you’ve learned in a project for an image classifier neural network.
  3. Unsupervised Learning – Get started with unsupervised learning methods for a variety of problem domains. From segmentation to clustering, this course covers a range of techniques. By using unsupervised learning, you can start understanding how these methods work and start solving real-world problems.

Skills Acquired

  • TensorFlow
  • Supervised Learning
  • Deep Learning
  • Unsupervised Learning
  • Data Manipulation
  • Python
  • Neural Networks
  • Image Classification
  • Computer Vision
  • Segmentation
  • Clustering

For more information, read our review of the Udacity Introduction to PyTorch Nanodegree.

  • PREREQUISITES: This program requires intermediate skills in Python programming.

2. Professional Certificate in Fundamentals of Google AI for Web Based Machine Learning (Google)

Google

Learn from the experts at Google, who developed the open source library of TensorFlow. The Professional Certificate in Fundamentals of Google AI for Web Based Machine Learning consists of two courses with a focus on AI, the web, and TensorFlow.

This training will give you a deeper understanding of how to use TensorFlow.js and ML in your web applications. Then, you can learn how to convert Python models to an easily consumable JavaScript format.

Simplified Courses

  1. Google AI for Anyone – Get started on your journey to becoming a Google AI expert today. Learn the most relevant skills and knowledge you need to know about Google AI in this course, from the basics to more advanced concepts.
  2. Google AI for JavaScript Developers with TensorFlow.js – Learn how to build effective and efficient machine learning models for your web applications. This course will teach you TensorFlow, Python, and JavaScript, and give you a basic understanding of how these frameworks and libraries work in conjunction.

Skills Acquired

  • Applied AI
  • TensorFlow.js
  • Linear Regression
  • Convolutional Neural Network
  • Python
  • Pre-made Models Utilization
  • Forward Propagation
  • Backward Propagation
  • Transfer Learning
  • Artificial Neuron
  • Machine Learning
  • INFORMATION: This program contains 2 skill-building courses that can be completed in a duration of 3 months.

3. Introduction to TensorFlow Program (DataCamp)

DataCamp

Get into the world of deep learning with the Introduction to TensorFlow program from DataCamp. This 4-course program will teach you the basics of TensorFlow and give you the skills to build complex neural networks.

But you’ll also get to learn with hands-on experience from top experts in the field. You’ll learn concepts like high-level APIs to streamline the training process and linear models to improve predictions.

Simplified Courses

  1. Introduction to TensorFlow – Get started with TensorFlow and build advanced machine learning models. In this course, you’ll learn how to perform basic operations with TensorFlow all the way to optimizing gradients.
  2. Linear Models – In this course, you will learn how to build a linear regression model and make predictions for house prices using the TensorFlow library.
  3. Neural Networks – You will learn how to build neural networks, understand their inner workings, and use them to make predictions while trying to reduce overfitting.
  4. High-Level APIs – You will learn how to streamline high-level APIs to train a sign language letter classifier.

Skills Acquired

  • TensorFlow
  • Deep Learning
  • Neural Networks
  • Reshaping Tensors
  • Linear Models
  • Regression Predictions
  • Activation Functions
  • Optimizers
  • High-Level APIs
  • Overfitting Detection
  • Estimators API
  • INFORMATION: This program contains 4 courses that can be completed in a duration of 4 hours.

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