Certificate in Deep Learning with Keras by Vskills: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

Since the era of technology is changing, big companies are looking for new experts in various fields. The companies using modern technology require trained professionals to utilise their skills in a productive manner. Data Analytics using Keras is a part of mathematical analytics which has brought a whole new change in the technology world. It is a great way to start using digitalization and technical aspects of work in the workplace.

Nowadays, the need for such trained professionals is enhancing day by day. Big companies such as Amazon, Flipkart, Google are looking for trained professionals with a deep understanding of Keras.

With Certified in Deep Learning with Keras, can access different skills to be professionally trained in using Keras. Online classes and supportive faculty contribute a lot to this course to be the right choice for learners seeking these skills. After getting certified through this course, learners will get several job opportunities from recruiters and other modes.

Course and certificate fees

Fees information

₹ 3,499

Candidates will make a fee payment of Rs. 3,499 to enroll in Certified in Deep Learning with Keras programme.

Certified in Deep Learning with Keras programme Fees Details

Head	Amount
Programme Fees	Rs. 3,499

certificate availability

Yes

certificate providing authority

Vskills

Who it is for

Ai developer Data scientist Machine learning engineer It engineer Data engineer

Eligibility criteria

Certifying Qualifying Details

A test of 60 minutes will be conducted wherein candidates need to secure minimum 50% marks which is 25 marks to clear the programme. The Certified in Deep Learning with Keras programme completion certificate will be given to candidates if they successfully complete it and pass the programme.

What you will learn

Machine learning Knowledge of deep learning

Through this course Certificate in Deep Learning with Keras, learners will be able to master the following: -

They will have a proper understanding of Optimization
Learners will know how to perform Single Style Transfer
Techniques to perform GANs
Keras API and its various techniques
Important Concepts such as CNN Architectures and Recurrent Networks

The syllabus

Introduction to Machine Learning with Keras

Course Overview
Installation and Setup
Lesson Overview
Data Representation
Loading a Dataset from the UCI Machine Learning Repository
Data Pre-Processing
Cleaning the Data
Appropriate Representation of the Data
Lifecycle of Model Creation
Machine Learning Libraries and scikit-learn
Keras
Model Training
Creating a Simple Model
Model Tuning
Regularization

Machine Learning versus Deep Learning

Lesson Overview
Introduction to ANNs
Linear Transformations
Matrix Transposition
Introduction to Keras

Deep Learning with Keras

Lesson Overview
Building Your First Neural Network
Gradient Descent for Learning the Parameters
Model Evaluation

Evaluate Your Model with Cross-Validation using Keras Wrappers

Lesson Overview
Cross-Validation
Cross-Validation for Deep Learning Models
Evaluate Deep Neural Networks with Cross-Validation
Model Selection with Cross-validation
Write User-Defined Functions to Implement Deep Learning Models with Cross-Validation

Improving Model Accuracy

Lesson Overview
Regularization
L1 and L2 Regularization
Dropout Regularization
Other Regularization Methods
Data Augmentation
Hyperparameter Tuning with scikit-learn

Model Evaluation

Lesson Overview
Accuracy
Imbalanced Datasets
Confusion Matrix
Computing Accuracy and Null Accuracy with Healthcare Data
Calculate the ROC and AUC Curves

Computer Vision with Convolutional Neural Networks

Lesson Overview
Computer Vision
Architecture of a CNN
Image Augmentation
Amending Our Model by Reverting to the Sigmoid Activation Function
Changing the Optimizer from Adam to SGD
Classifying a New Image

Transfer Learning and Pre-trained Models

Lesson Overview
Pre-Trained Sets and Transfer Learning
Fine Tuning a Pre-Trained Network
Classification of Images that are not Present in the ImageNet Database
Fine-Tune the VGG16 Model
Image Classification with ResNet

Sequential Modeling with Recurrent Neural Networks

Lesson Overview
Sequential Memory and Sequential Modeling
Long Short-Term Memory – LSTM
Predict the Trend of Apple's Stock Price Using an LSTM with 50 Units (Neurons)
Predicting the Trend of Apple's Stock Price Using an LSTM with 100 Units

Admission details

Participants who are looking forward to being a part of the Certificate in Deep Learning with Keras programme admission must follow the steps that are given below:

Step 1: GO to the official programme URL.

Step 2: The candidates will find a tab ‘Buy Now’ which should be clicked to proceed further.

Step 3: The candidate will direct to a new page wherein they need to first register and create their user credentials.

Step 4: Once the login is created, they need to click on the tab ‘Continue’.

Step 5: Post this, the candidate will direct to the Account Details page wherein they need to log in.

Step 6: The user will log in with a registered user id and password and then proceed to the Payment Method page. Here the candidates will be able to select the desired mode of making the payment.

Step 7: Once the order summary is checked and all the payment details are confirmed the candidate will be able to make the payment and then get a confirmation for registration.

Evaluation process

A candidate has to appear in a 60-minutes test and they need to score a minimum 50 percent marks to clear the programme and get the certification.

How it helps

Through Certified in Deep Learning with Keras programme, candidates will get to learn and master the concepts of Keras in detail. This course helps learners reach various job opportunities. Learners will fit efficiently to various job roles related to analysing and understanding data.

This course offers its learners with sample questions and certification to learn every point easily. There is a government certification as well which is provided to the candidates. One can then reshare it ahead on different professional platforms as well.

With expert faculty and easy accessibility, this course is a perfect course for everyone who’s looking to acquire skills for this course. They also get their profile featured in job recruiting websites namely Monster and Shine. With lifetime access to programme material, candidates will be able to read and learn the programme at any point of time as per one's convenience.

FAQs

What are the different areas that I will master in?

The Certified in Deep Learning with Keras programme covers diversified subjects namely, Deep Learning, Machine Learning, KERAS Installation, KERAS API etc in this certification course.