The global deep learning systems market is expected to reach $93.34 billion by 2028, with a compound annual growth rate of 39.1%.
Deep learning, also known as deep neural learning, is a subset of machine learning and an application of artificial intelligence, where machines mimic the working of the human brain and use artificial neural networks to process information.
How much can TensorFlow earn?
As of October 30, 2021, the average annual salary for TensorFlow in the United States was $148,508. This translates to approximately $71.40 per hour, which is about $2,856 per week or $12,376 per month. The highest annual salary reached $204,000, while the lowest was $94,000, but currently, most TensorFlow salaries range between $104,500 (25th percentile) and $187,500 (75th percentile), with the highest earners (90th percentile) making $197,000 annually. The average salary range for TensorFlow shows a significant variation (up to $83,000), indicating many opportunities for promotions and raises based on skill level and years of experience.
The top 5 highest-paying jobs related to TensorFlow in the United States
Similar jobs related to TensorFlow found that Keras jobs tend to pay more than TensorFlow jobs. Notably, Keras jobs pay 5.1% more than the average TensorFlow salary of $148,508 ($7,532 more). If you are qualified, looking for a Keras job may help you earn more than the average TensorFlow position.
Certification
The TensorFlow Developer Certificate is a foundational certificate offered to students, developers, and data scientists. It demonstrates the developer’s practical skills in machine learning by building and training basic models using TensorFlow. This entry-level certificate primarily assesses the developer’s foundational knowledge of integrating machine learning into tools and applications, requiring an understanding of how to build basic TensorFlow models in computer vision, sequence modeling, and natural language processing.
The official Google TensorFlow certification was established to bridge the gap between learners and companies, as some companies want to do machine learning but struggle to find talent, while others want to learn machine learning but don’t know where to start.
This certification is an entry-level credential, which can be used to prove to HR that you are qualified for an entry-level AI engineer position using TensorFlow; HR can also use this certification to recruit talent.
Here are the benefits of participating in the TensorFlow certification exam:
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Learn new knowledge about machine learning – This certification exam will help you improve your proficiency in machine learning.
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Gain recognition – After obtaining certification, you will be recognized by the TensorFlow community.
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Showcase skills – TensorFlow certification proves your deep understanding of the subject, serving as evidence of your skills.
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The best way to get certified is to participate in a real learning environment with mentorship, which is not expensive and provides guidance.
Target Audience:
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Software engineers and IT professionals interested in deep learning
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Data scientists
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Data analysts who want to understand deep learning technology in business
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Statisticians interested in deep learning
The exam primarily tests the developer’s foundational knowledge of integrating machine learning into tools and applications:
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Understand the concepts, main features, operations, and execution channels of Keras and TensorFlow
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Implement deep learning algorithms, understand neural networks, and data abstraction
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Master and understand advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks, and advanced interfaces
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Use Keras and TensorFlow frameworks to build deep learning models and interpret results
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Understand the language and basic concepts of artificial neural networks, apply autoencoders, PyTorch, and its elements
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Troubleshoot and improve deep learning models
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Build your own deep learning projects
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Differentiate between machine learning, deep learning, and artificial intelligence
The demand for skilled deep learning engineers is booming across various industries, making this deep learning course with Keras and TensorFlow certification training very suitable for mid to senior-level professionals. We especially recommend this course to software engineers, data scientists, and anyone interested in deep learning. Deep learning is one of the latest technological advancements in artificial intelligence and machine learning.
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