Affiliated to National Board of Vocational Training Education, Government of India.
Affiliated to National Board of Vocational Training Education, Government of India.

Certified Deep Learning Expert


Deep Learning is an indispensable part of  Machine Learning. Every organization is making an effort towards leveraging the possibilities of deep learning. The Certified Deep Learning Expert mainly focuses on the incorporation of deep learning into the activities of an enterprise.

  • IBM® & IABAC® Certification
  • 6-Month / 200 Learning Hours
  • 80-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Deep Learning happens to be a subset of Machine Learning and helps to shadow the limitations evident in the machine learning functions. Where the data is large in number, deep learning is the ideal mechanism to be banked upon.

The Certified Deep Learning Expert course mainly focuses on employing the knowledge of deep learning into organizational functions. The certification, accredited by  IABAC carries wide recognition and is instrumental in fulfilling long term career goals.

Certified Deep Learning Expert Course Module

Machine Learning Crash Course

  • Data Science And Ml Introduction
  • Mathematics For Ml
  • Learning Methods
  • Popular Ml Algorithms
  • Building Regression Models
  • Building Classification Models
  • Beyond Machine Learning

Tensorflow 2.X – The State Of Art Machine

  • Intelligence Platform
  • Tensorflow Introduction
  • Tensorflow Basic Concepts
  • Installation And Basic Operations In Tf 2.X,Tf 2.0 Eager
  • Mode,Tensorflow 2.X – Keras

Core Learning Algorithms With Tensorflow

  • Core Learning Algorithms Introduction
  • Regression With Tensorflow
  • Classification With Tensorflow

Neural Networks In Detail

  • Structure Of Neural Networks
  • Neural Network – Core
  • Concepts, Feed Forward Algorithm
  • Backpropagation
  • Building Neural Network From Scratch Using Numpy

Neural Networks With Tensorflow 2.X

  • Introduction To Neural Networks With Tf2.X
  • Simple Deep Learning Model In Keras (Tf2.X)
  • Building Neural Network
  • Model In Tf 2.0 For Mnist Dataset

Computer Vision – Convolutional Neural Networks (Cnn)

  • Convolutional Neural Networks (Cnns) Introduction Cnns With Keras – Tf2.X
  • Transfer Learning In Cnn
  • Style Transfer
  • Flowers Dataset With Tf2.X
  • Examining X-Ray With Cnn Model

Recurrent Neural Network (Rnn)

  • Rnn Introduction
  • Sequences With Rnns
  • Long Short-Term
  • Memory Networks (Lstm Rnns) And Gru,
  • Examples Of Rnn Applications

Natural Language Processing With Rnns In Tensorflow 2.X

  • Natural Language Processing Introduction
  • Nlp With Rnns, Creating Model
  • Transformers And Bert
  • State Of Art Nlp And Projects

Generative Adversarial Network (Gan)

  • Gan Introduction
  • Core Concepts Of Gan
  • Building Gan Model With Tensorflow 2.X,
  • Gan Applications

Reinforcement Learning Foundation

  • Reinforcement Learning (Rl) Introduction
  • Core Concepts Of Rl
  • Building Basic Rl Model, Application Of Rl

Deploying Deep Learning Models In The Cloud

  • Amazon Web Services (Aws)
  • Deploying Deep Learning Models Using Aws Sagemaker

What are the objectives of a Certified Deep Learning Expert?

Given the successful completion of the course, you will be equipped with the following:-

  • Deep Learning -An Overview
  • Applications Of Deep Learning
  •  Machine Learning.
  • Helps to lead forward in the Data Science career trajectory

What are the prerequisites of a Certified Deep Learning Expert?

  • No mandatory prerequisite.
  • Experience in the deep learning domain recommended.

Who should opt of a Certified Deep Learning Expert?

  • Data Scientists who have a specialization in operations.
  • Professionals working in the operations domain

What are the benefits of a Certified Deep Learning Expert?

  • Wide recognition for certification.
  • Higher Pay.
  • Beneficial for scaling up in the career trajectory


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