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12 Best Online Tensorflow Courses & Certification of 2020

Tensorflow

Students find it quite hard to meet their needs with many Tensorflow courses. Students also ask us if there is a specific Tensorflow course that fits every event. YES is the answer. You can take part in the popular courses below. Registering for the right course will make a major difference in your career growth. In this article, the four best Tensorflow courses & classes in 2020 were chosen by hand.

Our emphasis is on highlighting the best and most famous courses for their respective categories.

Depending on your submission, you can pick the one that best suits your needs.

However, let ‘s look at the best Tensorflow courses on the market.

1. TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

Duration: 4 weeks, 4 to 5 hours per week

Rating: 4.6 out of 5

If you are a software developer or have a previous coding background and are keen to expand on these skills, you should look forward to this qualification. These courses show you the techniques used by TensorFlow to apply the basic concepts of machine learning and deep learning and create scalable models to solve real-world problems. You will have the practical skills to come up with scalable solutions to these problems by the end of this program, as well as apply for relevant job profiles.

Key Highlights:

  • Someone who has previous experience with Python should take this tutorial.
  • With the help of examples, the instructor will help you work with the basic features.
  • Construct and train a basic neural network for a computer vision application.
  • The learning is composed of tips and techniques along with evaluations.
  • The dynamic timeline lets you know according to your convenience.

You can Sign up Here 

2. Tensorflow Deep Learning Certification Course (Coursera)

Length: 3 months, 10 hours a week

Evaluation: 4.9 out of 5

If you want to start a career in AI, you will be helped by this degree. Across 5 courses you can explore the basic concepts of deep learning, know how to create neural networks, and lead productive ML projects. In addition, case studies from various real-world industries can also be carried out. The practical tasks enable you to practice the concepts in Python and Tensorflow. In addition, talks from top leaders in the field can provide you with inspiration and help you understand the scenarios in this area.

Key Highlights:

  • Read about the networks, RNNs, BatchNorm, Dropout, and much more.
  • The classes will help you learn various techniques by using models to solve real-life problems.
  • Case studies in the real world include areas such as education, autonomous movement, interpreting sign language, music production, and the processing of natural languages.
  • Gain industry experts’ and leaders’ best practices and advice.
  • Finish all tests and tasks according to your timetable for the certification.

You should Register Here

3. TensorFlow in Practice Specialization (Coursera)

Duration: 1 month

Rating: 4.7 out of 5

If you’re keen to learn tools that developers use to create scalable TensorFlow AI algorithms, this specialization program is an ideal choice for you. This curriculum contains four separate classes, each of which provides you with a good understanding of how TensorFlow functions and discusses key concepts. With this program, you will get a clear understanding of how neural networks are built up and formed, and improve their performance by training them to identify images in the real world. Completing the program will give you a completion certificate to share with your profile and resume to demonstrate your skills.

Key Highlights:

  • One of TensorFlow ‘s comprehensive specialization programs to help you acquire a strong knowledge of construction application.
  • Know best practice for TensorFlow, which has been developed to develop a neural network for an application for computer vision.
  • To teach machines how to understand, analyze and react with natural language processing systems to human speech.
  • Understand how to process text, describe sentences as vectors, and enter information into a neural network, and training an IA to create original poetry.

You can Sign up Here

4. TensorFlow Data and Deployment Specialization (Coursera)

Duration: 1 month

Rating: 4.5 out of 5

If you’d like to learn how to handle a wide range of distribution scenarios and find new ways to use data more efficiently when training your model, then this specialization program is your best option. It consists of four different courses that help you learn how your system models can be delivered to real people on different devices. You will begin by understanding how machine learning models can be trained and run on browsers and mobile applications and then learn advanced concepts. This curriculum contains many video tutorials, quizzes, graded assignments, and practical projects to develop your skills and knowledge.

Key Highlights:

  • Learn how to leverage built-in datasets with only a few code lines, use APIs to control the division of data, and process all types of unstructured information.
  • Introducing various TensorFlow concepts such as TensorFlow Serving, Hub, Tensor Panel, and much more.
  • Learn how TensorFlow.js can run models in your browser, how TensorFlow Data Services easily access, organize, and process training data.
  • Gain essential skills such as macho learning, TensorFlow, advanced deployment, detection of objects, and JavaScript during the program.

You can Sign up Here

5. Advanced Machine Learning with TensorFlow (Coursera)

Duration: 2 months

Rating: 4.5 out of 5

This specialization program will help you learn sophisticated machine learning concepts using the Google Cloud platform. With this program, you’ll gain hands-on experience to optimize, deploy, and scale ML production models of different types in hands-on labs. It consists of five different courses focused on multiple machine learning concepts such as end-to-end machine learning with TensorFlow, Production Machine Learning Systems, Sequential Time Series Model, etc. In addition, the program includes video lectures, quizzes, graded assignments, and much more to help you better equipped with the concepts. After completing the course and submitting the final project, you’ll get your completion certificate.

Key Highlights:

  • Learn how to create open, accurate, and ready-made models for structured data, image data, time series, and natural language text.
  • Delve into high-performance ML components and best practices in manufacturing environments.
  • Look at the various ways to build a classifier using convolutionary neural networks while improving model accuracy with an increase and extraction features.
  • Implement sequence models and their implementations, such as the understanding of sequence model architectures and how to manage variable-length inputs

You can Sign up Here

6. Machine Learning with TensorFlow by AWS / Kaggle (Udacity)

Duration: 3 months, 10hrs/week

Rating: 4.5 out of 5

If you’re in the machine learning area, you might be aware of TensorFlow and how important it is for the ML area. Well, with TensorFlow, this nano degree program will help you learn basic machine learning techniques. Through covering critical topics such as data manipulation to supervised algorithms, every TensorFlow and scikit-learn algorithm gets hands-on experience. The software is developed by Udacity’s professional teachers, with years of machine learning and TensorFlow experience. During the program, instructors will be in direct contact through live sessions to help you understand the complex topics. Also, after completing the program, you will receive a completion certificate.

Key Highlights:

  • Read about supervised learning, a typical class of modeling methods.
  • Know the foundations of TensorFlow’s neural network designs and how to apply unsupervised learning methods for different types of problems.
  • Incorporated with online tutorials, graded tasks, weekly tests, quizzes and project reviews to help you improve your learning experience.
  • Get additional career services including personal career coaching, interview preparations, resume services, LinkedIn profile review, etc.

You can Sign up Here

7. Machine Learning with TensorFlow on Google Cloud Platform (Coursera)

Duration: 1 month, 14 hours per week

Rating: 4.5 out of 5

This specialization in Google Cloud-based machine learning offers an opportunity to learn one of today’s world’s most sought-after skills. The software aims to give you a summary of Machine Learning ‘s value to lectures on developing ML models. It starts with introductory-level lessons covering what machine learning is capable of and why is so popular, followed by classes focusing on Tensorflow, an open-source machine learning framework. These tutorials aim to help you develop, train, deploy ML models, solve numerical problems and more. There are also numerous hands-on opportunities to enhance ML ‘s accuracy using the various features on Google Cloud Platform.

Key Highlights:

  • Perfect software for a machine-learning data scientist or similar profile.
  • Well-structured curriculum focusing on each section.
  • Many hands-on ways to understand how various machine learning principles function.
  • Training consists of 5 classes. Following the program order as specified is recommended.

You can Sign up Here

8. Complete Guide to Tensorflow for Deep Learning with Python (Udemy)

Duration: 14 hours

Rating: 4.4 out of 5

Google’s Tensorflow is among the top artificial intelligence methodologies used to reach solutions. Specifically designed to help you use this framework to create artificial neural networks for deep learning. The lessons cover all topics in details that guide you to understand them thoroughly. There’s a perfect balance between theory and practice. Some of the key concepts covered include basic neural networks, dense networks, autoencoders, reinforcement learning.

Key Highlights:

  • Learn how neural networks function and enhance learning with OpenAI Gym.
  • Utilize Tensorflow for classification and time series analysis.
  • Create generative adversarial networks and solve unsupervised autoencoder learning problems.
  • Someone with basic programming and mathematics skills may take a certification.
  • 96 Lectures + 7 Articles + 5 Downloadables + Full Lifetime Access.
  • Clear setup instructions and necessary configurations.

You can Sign up Here

9. Deep Learning with Tensorflow (edX)

Duration: 5 weeks, 2 to 4 hours per week

Rating: 4.6 out of 5

If you’ve a clear understanding of the principles of machine learning, python and deep learning and want to use it to improve your skills then this is your software. The basic concepts, key functions, operations and execution pipeline will be addressed in this tutorial. Apply the backpropagation features to time the weights and biases while training neural networks. End the program by exploring the various kinds of deep architectures.

Key Highlights:

  • Use the curve fitting, regression, classification and error function minimisation framework.
  • Numerous deep architectures include recurrent networks, auto encoders and convolutionary networks.
  • Well structured course with a detailed description of each concept.
  • The tutorials’ interactive nature makes it a common option amongst students.
  • All tests and videos are available free of charge; qualification can be available at a surcharge.

You can Sign up Here 

10. Free Tensorflow Tutorials & Courses  (LinkedIn Learning – Lynda)

Duration: Self-paced

Rating: 4.5 out of 5

If you want to use Javascript to work on Tensorflow or build deep learning applications then you can take a look at these training series. You’ll be able to ‘know by doing’ using descriptive lectures and practical lessons focused on real-world scenarios. Develop applications, avoid common errors, automate and scale them, following teacher guidance.

Key Highlights:

  • Understanding of JavaScript / Python basics is essential to get the full value.
  • Comprehensive instructions on how to handle the exercises, and setting p to follow with the classes.
  • Online and offline exercises are available.
  • The lecturer’s comfortable and immersive teaching method provides a strong educational experience.
  • Test the quizzes in chapter after each chapter is finished.
  • For the first thirty days after enrolment, the classes and materials can be accessed free of charge.

You can Sign up Here 

11. Tensorflow Tutorials Online (Pluralsight)

Duration: Self-paced

Rating: 4.6 out of 5

This e-learning platform helps bring you a set of qualifications and teaching that will help you improve your work skills with Tensorflow regardless of your current level of expertise. The programmes, namely beginner, intermediate, and advanced, are divided into three stages of difficulty. Build model classification, conduct sentiment analysis, debug and monitor programs among others. You’ll have the courage to take on tasks and more challenging courses by the end of your chosen class.

Key Highlights:

  • The lectures at the beginner level address all topics from scratch with thorough instructions on program setup.
  • There are realistic tasks and quizzes to help you test your comprehension of the learned knowledge.
  • Set your timetables as you wish.
  • The videos and research materials are available free of charge for the first 10 days following registration.

You can Sign up Here

12. TensorFlow for Deep Learning by TensorFlow (Udacity)

Duration: 2 months

Rating: 4.6 out of 5

In this program created by Udacity and the Tensorflow Team, you will learn to build deep learning applications with TensorFlow. So if you are more of a hands-on learner then this is the course for you. Gain hands-on experience in building your own state of the art image classifier and more. Use the models in the real world on mobile devices, in the cloud, and browsers. End the classes by working on advanced techniques and algorithms with large datasets.

Key Highlights:

  • Create your own AI applications with the knowledge gained throughout the lessons.
  • Taught by industry pros you get access to rich earning content and interactive quizzes.
  • Get continuous doubt clarification by interacting with the instructor.
  • The self-paced learning makes the experience convenient and flexible.
  • Complete course content is available for free.

You can Sign up Here 

Wrapping Up

That’s the list of Tensorflow courses with high-quality content. They are popular and loved by many designers. Between these courses, you are sure to find what you need to learn to continue your path of Tensorflow.

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