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TensorFlow Developer Certificate - TensorFlow Developer Skills

Dhiraj Kumar

In this course, TensorFlow Developer Certificate - TensorFlow Developer Skills , you will learn several items. First, you will learn how to compile and run Python programs in PyCharm. Next, you will discover how to find information about TensorFlow APIs. Then, how to solve error messages fro m the TensorFlow API. Finally, how to save ML models and check the model file size

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In this course, TensorFlow Developer Certificate - TensorFlow Developer Skills , you will learn several items. First, you will learn how to compile and run Python programs in PyCharm. Next, you will discover how to find information about TensorFlow APIs. Then, how to solve error messages fro m the TensorFlow API. Finally, how to save ML models and check the model file size

In this course, TensorFlow Developer Certificate - TensorFlow Developer Skills , you will lear n several items. First, you will learn how to program in Python, resolve Python issues, and compile and run Python programs in PyCharm. Next is how to find information about TensorFlow APIs, including guides and API references on tensorflow.org. Then, know how to debug, investigate, and solve error messages from the TensorFlow API. Then, how to search beyond tensorflow.org, as and when necessary, to solve your TensorFlow questions. Then how to create ML models using TensorFlow where the model size is reason able for solving the problem. Then how to save ML models and check the model file size. Finally, Understand the compatibility discrepancies between different versions of TensorFlow

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What's inside

Syllabus

Course Overview
Python Programming with PyCharm
Explore TensorFlow API
Create ML model Using TensorFlow
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TensorFlow Version Compatibility

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides foundational level skills in building ML models with TensorFlow
Covers essential aspects of TensorFlow, including API exploration and debugging
Guided by Dhiraj Kumar, an experienced instructor in TensorFlow development
May require prior programming experience for optimal comprehension
Utilizes PyCharm as the development environment, which may be unfamiliar to some learners

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Activities

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Career center

Learners who complete TensorFlow Developer Certificate - TensorFlow Developer Skills will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
A Machine Learning Engineer designs and develops machine learning models. This course directly addresses the skills necessary for this role. It covers topics such as creating ML models using TensorFlow, debugging and resolving API errors, and checking model file size.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course's focus on Python programming and TensorFlow API can provide a great foundation for aspiring Software Engineers. Understanding how to compile and run Python programs, find and resolve API errors, as well as create and save ML models are all essential skills in this field.
See salaries and explore the career path for Software Engineer
Data Scientist
A Data Scientist uses data to solve problems and make predictions. This course provides a strong foundation for aspiring Data Scientists by teaching them how to use TensorFlow API, create ML models, and check their file size. These skills are essential for working with large datasets and building data-driven solutions.
See salaries and explore the career path for Data Scientist
Artificial Intelligence Engineer
An Artificial Intelligence Engineer designs and develops AI systems. This course provides a useful introduction to the field by covering topics such as Python programming, TensorFlow API, and ML model creation. These skills are essential for building and deploying AI solutions.
See salaries and explore the career path for Artificial Intelligence Engineer
Computer Scientist
A Computer Scientist researches and designs new computing technologies. This course provides a solid foundation for aspiring Computer Scientists by teaching them the fundamentals of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Computer Scientist
Software Developer
A Software Developer designs, develops, and maintains software systems. This course can be helpful for aspiring Software Developers by providing them with a foundation in Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Software Developer
Product Manager
A Product Manager manages the development and launch of new products. This course may be useful for aspiring Product Managers by providing them with a basic understanding of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Product Manager
Data Engineer
A Data Engineer designs and builds data pipelines. This course may be useful for aspiring Data Engineers by providing them with a basic understanding of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Data Engineer
Project Manager
A Project Manager plans and executes projects. This course may be useful for aspiring Project Managers by providing them with a basic understanding of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Project Manager
Sales Analyst
A Sales Analyst uses data to identify sales opportunities. This course may be useful for aspiring Sales Analysts by providing them with a basic understanding of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Sales Analyst
Business Analyst
A Business Analyst uses data to solve business problems. This course may be useful for aspiring Business Analysts by providing them with a basic understanding of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Business Analyst
Data Analyst
A Data Analyst uses data to identify trends and patterns. This course may be useful for aspiring Data Analysts by providing them with a basic understanding of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Data Analyst
Financial Analyst
A Financial Analyst uses data to make investment decisions. This course may be useful for aspiring Financial Analysts by providing them with a basic understanding of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Financial Analyst
Marketing Analyst
A Marketing Analyst uses data to understand customer behavior. This course may be useful for aspiring Marketing Analysts by providing them with a basic understanding of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Marketing Analyst
Operations Analyst
An Operations Analyst uses data to improve business operations. This course may be useful for aspiring Operations Analysts by providing them with a basic understanding of Python programming, TensorFlow API, and ML model creation.
See salaries and explore the career path for Operations Analyst

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in TensorFlow Developer Certificate - TensorFlow Developer Skills.
Cover image
Hands-On Machine Learning with Scikit-Learn, Keras,...
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Comprehensive guide to machine learning with TensorFlow 2.0, covering a wide range of topics from data preprocessing and model selection to model evaluation and deployment. It provides clear explanations and practical examples to help readers understand and apply machine learning concepts.
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
$$
Cover image
Deep Learning with Python, Second Edition
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Provides a practical introduction to deep learning, covering the fundamentals of neural networks, convolutional neural networks, and recurrent neural networks. It offers a hands-on approach, with code examples and exercises to help readers implement deep learning models.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
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Machine Learning Con Pytorch Y Scikit Lean
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Provides a comprehensive overview of machine learning in Python, covering a wide range of topics from data preprocessing and model selection to model evaluation and deployment. It offers a hands-on approach, with code examples and exercises to reinforce learning.
Machine Learning Con Pytorch Y Scikit Lean
Paperback
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Machine Learning Con Pytorch Y Scikit Lean
Kindle Edition
Check
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning, covering the fundamentals of neural networks, convolutional neural networks, and recurrent neural networks. It offers a theoretical and practical approach to deep learning, making it a valuable resource for researchers and practitioners.
Deep Learning
Paperback
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Deep Learning (Adaptive Computation and Machine...
Hardcover
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Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Machine Learning
Save
Provides a comprehensive overview of machine learning, covering a wide range of topics from data preprocessing and model selection to model evaluation and deployment. It offers a theoretical and practical approach to machine learning, making it a valuable resource for researchers and practitioners.
Machine Learning
Paperback
Check
Machine Learning
Kindle Edition
Check
Cover image
Python Data Science Handbook
Save
Provides a comprehensive overview of data science in Python, covering a wide range of topics from data preprocessing and model selection to model evaluation and deployment. It offers a hands-on approach, with code examples and exercises to reinforce learning.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Cover image
The Elements of Statistical Learning
Save
Provides a comprehensive overview of statistical learning, covering a wide range of topics from data preprocessing and model selection to model evaluation and deployment. It offers a theoretical and practical approach to statistical learning, making it a valuable resource for researchers and practitioners.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Machine Learning with R
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Provides a comprehensive overview of machine learning in R, covering a wide range of topics from data preprocessing and model selection to model evaluation and deployment. It offers a hands-on approach, with code examples and exercises to reinforce learning.
Machine Learning with R - Fourth Edition: Learn...
Paperback
$$
Machine Learning with R - Second Edition: Expert...
Kindle Edition
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Machine Learning with R - Third Edition: Expert...
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(Italiano) Machine Learning con R: Conoscere le tecniche per...
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R: Unleash Machine Learning Techniques
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Machine Learning with R: Learn How to Use R to...
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(中文) Machine learning and R language (3rd edition of the...
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Cover image
Deep Learning with TensorFlow and Keras
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Provides a comprehensive overview of deep learning in Java, covering a wide range of topics from data preprocessing and model selection to model evaluation and deployment. It offers a hands-on approach, with code examples and exercises to reinforce learning.
Deep Learning with TensorFlow and Keras - Third...
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Deep Learning with TensorFlow 2 and Keras - Second...
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Deep Learning with TensorFlow and Keras: Build and...
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Deep Learning with TensorFlow 2 and Keras:...
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Course image
Time
88 hours
Level
Introductory
Via
Pluralsight
Instructor
Dhiraj Kumar
Language
English
Good to know
Provides foundational level skills in building ML models with TensorFlow
Covers essential aspects of TensorFlow, including API exploration and debugging
Guided by Dhiraj Kumar, an experienced instructor in TensorFlow development
May require prior programming experience for optimal comprehension
Utilizes PyCharm as the development environment, which may be unfamiliar to some learners
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