Course Announcement: Simplilearn’s Deep Learning with TensorFlow Certification Training

Simplilearn’s Deep Learning with TensorFlow Certification Training
Author

Naren Madan

Last updated May 24, 2018


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At Simplilearn, we strive to offer courses that are cutting edge and industry-pertinent, creating scope and demand for professionals who acquire these skills in the short to long-term. With Artificial Intelligence (AI) quickly emerging as a domain with the potential to eclipse the known boundaries of human capacity, we are delighted to announce the launch of our latest certification training in AI: Deep Learning with TensorFlow.

Simplilearn’s Deep Learning with TensorFlow Certification

Deep learning is inspired by the integral function of the human brain specific to artificial neural networks. These networks, which represent the decision-making process of the brain, use complex algorithms that process data in a non-linear way, learning in an unsupervised manner to make choices based on the input.  

To put it simply, deep learning is a crucial step in achieving true AI that does not require constant human input. 

Why Should You Take This Course

A subset of machine learning, deep learning algorithms are behind some of the pioneering changes across multiple domains such as creating efficiencies in power grids, driving advancements in healthcare and helping find solutions to climate change. The growing demand for deep learning creates myriad opportunities for skilled professionals. 

About The Certification

Simplilearn’s deep learning course emphasizes on TensorFlow, a software library developed by Google for the purposes of conducting machine learning and deep neural network research. In this course, you will learn the fundamentals of TensorFlow concepts, functions, and operations required to implement deep learning algorithms and leverage data like never before. 

Upon completion of the course, you will be able to:

  • Build deep learning models in TensorFlow and interpret the results of deep learning models
  • Understand the language and fundamentals of artificial neural networks
  • Troubleshoot and improve deep learning models
  • Build your own deep learning project 
  • Differentiate between machine learning, deep learning, and artificial intelligence

Is This Course Ideal For Your Career?

This course is ideal for professionals with intermediate to advanced levels of experience. With a wide range of practical uses  and career options, this course is recommended for working professionals, specifically:

  • Software engineers
  • Data scientists
  • Analysts
  • Statisticians with an interest in deep learning

Course Advisors

Simplilearn partners with reputed industry experts to craft the course material, structure the classes, and mentor the students. Our instructor for the Deep Learning certification is Mr. Vivek Singhal, Co-Founder and Chief Data Scientist of CellStrat. An entrepreneur and thought leader in the artificial intelligence and deep-tech industries, Singhal is a leading data scientist and researcher with expertise in AI, machine learning, and deep learning. 

The revolutionary changes of artificial intelligence can be seen throughout businesses in every sector. The rapid adoption of subsets like machine learning and deep learning create a gulf within the talent pool and Simplilearn is here to help professionals like you bridge that gap and advance in the market with the skills needed to succeed. With a certification in artificial intelligence and its subsets, you’ll find yourself on the cutting edge of this technological revolution. Are you ready to invest in yourself and the future? 

Find our Deep Learning with TensorFlow Online Classroom training classes in top cities:

Name Date Place
Deep Learning with TensorFlow 25 Aug -23 Sep 2018, Weekend batch Your City View Details
Deep Learning with TensorFlow 29 Sep -28 Oct 2018, Weekend batch Your City View Details

About the Author

Naren Madan is a Content Marketer with close to three years of experience in B2B marketing. An avid football fan, Naren follows the key trends in digital marketing and how sports teams leverage new marketing technologies and analytics to connect with their global fan base. This section provides access to all the insightful resources that Naren has contributed to our audience.


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