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Certificate in TensorFlow

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Tensor Flow

TensorFlow refers to the software developed by Google Inc. for developing models to be used in machine learning and deep learning applications. The software is open-source software and provides many tools and libraries to develop neural networks, training models, and managing large-scale data processing. The software is also used for natural language processing, computer vision, and predictive analytics.

Certification in TensorFlow verifies your skills and knowledge in developing, training, and implementing machine learning models using the TensorFlow  software. The certification assess you in neural networks, TensorFlow basics, TFX, TensorFlow lite, and TensorFlow.js.
Why is Tensor Flow certification important?

  • The certification certifies your skills and knowledge in using TensorFlow for AI.
  • Makes you stand out in competitive machine learning job markets.
  • Increases your credibility in the data science and AI.
  • Attests to your knowledge of neural networks and deep learning.
  • Boosts your career prospects in AI.
  • Provides employers with confidence of your  skills.
  • Earn higher salaries compared to non-certified professionals.

Who should take the Tensor Flow Exam?

  • Machine Learning Engineer
  • Data Scientist
  • AI Specialist
  • Deep Learning Engineer
  • Software Developer
  • Research Scientist in AI
  • Data Analyst with a focus on predictive modeling
  • AI Product Manager

Tensor Flow Certification Course Outline
The course outline for Tensor Flow certification is as below -

 

  • Introduction to TensorFlow
  • Core Concepts in Machine Learning
  • TensorFlow Basics
  • Building Neural Networks
  • Deep Learning Techniques
  • Model Optimization
  • TensorFlow Extended (TFX)
  • Advanced TensorFlow Features
  • Certificate in TensorFlow FAQs

    It is a credential validating your expertise in using TensorFlow for machine learning and deep learning tasks.

    Certification demonstrates your TensorFlow skills and enhances your career prospects in AI and data science.

    The Tensor Flow certification exam increases your job prospects, professional credibility, and earning potential.

    You can directly go to the Tensor Flow certification exam page, click- Add to Cart, make payment and register for the exam.

    You will be required to re-register and appear for the Tensor Flow certification exam. There is no limit on exam retake.

    There will be 50 questions of 1 mark each in the Tensor Flow certification exam.

    No there is no negative marking in the Tensor Flow certification exam.

    You have to score 25/50 to pass the Tensor Flow certification exam.

    The result will be declared immediately on exam submission.