TensorFlow is a highly popular free and open-source machine learning library developed by Google.
Welcome to our Best Courses Guides (BCG), where we have curated a list of the best online courses for learning TensorFlow using Class Central’s extensive catalog of over 200K courses.
If you’re curious about our selection process, you can find our methodology outlined below.
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What is TensorFlow?
TensorFlow is a comprehensive open-source library for machine learning (ML) created by Google. Initially an internal tool at Google, it was open-sourced in 2015 and has since gained immense popularity as AI technologies have advanced.
One of the main reasons TensorFlow stands out as a top library for implementing machine learning applications, including deep learning, is its wide range of tools and community resources. It enables researchers to push the boundaries of ML and allows developers to easily build and deploy ML-powered applications.
Salaries for professionals with TensorFlow skills are lucrative, with PayScale reporting earnings of over $100K in the US. Obtaining the official TensorFlow Developer Certificate is a great way to validate your expertise. Upon passing the exam, you can join Google’s Certificate Network, enhancing your credibility in the field.
Why You Should Trust Us
Class Central, known as the TripAdvisor for online education, has assisted 60 million learners in discovering their next course. With over a decade of experience in the online education space, we have curated a catalog of 200,000 online courses and 200,000 user reviews. As avid online learners ourselves, the Class Central team has collectively completed over 400 online courses, including online degrees.
Courses Overview
- The largest course in this guide has nearly 300K enrollments
- Combined, the courses have a total of 450K enrollments
- All courses are either free or free-to-audit, except for one
- 5.2K individuals follow Class Central’s TensorFlow Courses
- Coursera is the most represented provider with 4 courses, while the remaining courses are offered on various platforms.
If you are new to machine learning or deep learning and wish to learn TensorFlow for AI applications, the Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning course is an excellent starting point.
In this free-to-audit course, you will begin with basic machine learning concepts before delving into practical applications using TensorFlow. You will work on building neural networks to predict housing prices and categorize clothing items from images. The course covers topics such as computer vision, convolutional neural networks, and handling complex real-world datasets. By using Keras, you will gain hands-on experience and develop skills in binary classification.
Designed for beginners with Python knowledge and high school-level math, this course lays the groundwork for AI and deep learning techniques.
What you will learn:
- Fundamentals of machine learning and deep learning
- Creating and training neural networks with TensorFlow
- Computer vision techniques and image classification
- Implementing convolutional neural networks for enhanced efficiency
- Handling complex datasets and conducting binary classification
- Real-world applications of AI in housing price prediction and image recognition.
The TensorFlow for Deep Learning Bootcamp offered by ZTM Academy aims to equip you with the skills necessary to excel in TensorFlow Certification and stand out in the realm of deep learning!
This paid course focuses heavily on hands-on projects. Through numerous coding exercises, you will construct machine learning models and projects that simulate real-world scenarios. The course will guide you through TensorFlow, preparing you not only for the exam but also for real-world TensorFlow application. Upon completion, you will possess the skill set required to develop modern deep learning solutions.
Proficiency in Python programming is a prerequisite, and a basic understanding of machine learning is beneficial but not mandatory. No prior knowledge of TensorFlow is required!
What you will learn:
- Fundamental TensorFlow concepts and tensor operations
- Building and training neural networks for regression and classification tasks
- Implementing convolutional neural networks for computer vision applications
- Using transfer learning techniques with pre-trained models from TensorFlow Hub
- Developing natural language processing models using recurrent neural networks
- Addressing time series forecasting problems
- Hands-on experience through three major projects: Food101 image classification, SkimLit medical abstract classification, and time series prediction
- Exam preparation strategies and post-certification career development.
