Professional TensorFlow Developer Online Training

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UPDATED: December 8, 2024

Intermediate

Dive into the emerging field of MLOps and learn to create custom AI and machine learning models with TensorFlow. This Professional TensorFlow Developer training prepares learners to design, deploy, and optimize machine learning models using TensorFlow, a popular open-source ecosystem. Use this AI skills training to gain practical familiarity with AI/ML principles and job expectations, and build your own machine learning solutions.

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What you'll learn

Classify images with computer vision (CV)
Build generative AI models using natural language processing
Analyze and forecast time-stamped data
Deploy TensorFlow models
Explore advanced neural network architectures
Optimize AI/ML TensorFlow model performance

FAQs

Who should take this TensorFlow Developer training?

TensorFlow is a recognized and well-regarded open-source software ecosystem. Taking this TensorFlow Developer training will help you gain familiarity with machine learning principles and tools necessary to be competitive in an increasingly AI-driven global job market. In addition, machine learning engineer is one of the most in-demand job roles as of 2025 and is positioned to stay that way.

How difficult is the Professional TensorFlow Developer training?

Professional TensorFlow Developer is considered an intermediate course, which means it's designed for learners who have some familiarity with AI and machine learning tools. For data scientists or developers who are already familiar with AI/ML tools and building models, you will probably find this TensorFlow training easy. But if you're starting from scratch, you might find some of the course content more challenging.

What will I learn by taking the Professional TensorFlow Developer training?

This training primarily teaches learners how to build custom AI and machine learning models using TensorFlow. By taking this AI/ML skills training, you'll learn how to build generative AI models using natural language processing, analyze and forecast time-stamped data, and classify images with computer vision (CV).

What jobs can I get by taking TensorFlow Developer training?

The AI/ML skills covered in this TensorFlow Developer training would be a great boost to any data science or data analyst resume. TensorFlow skills will be especially valuable if you are trying to become a machine learning engineer or AI specialist, both of which can require experience building custom machine learning models. This training would also be relevant to developers looking to break into the emerging field of MLOps.

Who is this for?

This Professional TensorFlow Developer training is considered specialist-level Data Science training, which means it was designed for data analysts. This course is valuable for new IT professionals with at least a year of experience with data analysis tools and experienced data analysts looking to validate their Data Science skills.

What our learners say

The more I put into learning, the more skills I’m going to have — and the better I’m going to be technically.
Knox Hutchinson | CBT Nuggets trainer since 2018
CBT Nuggets is exactly what I needed.
Thomas S. | Systems Engineer & Consultant
When learning a new technology, people sometimes build a wall that complicates the learning process because of the unknown. I like tearing down that wall — and having people fall in love with that technology.
Lalo Nunez | CBT Nuggets trainer since 2020

Study plan

Download the free TensorFlow Developer study plan to complete this course in about 37 hours.

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