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Artificial Intelligence Certification Training

Gain excellent AI skills with a contemporary Artificial Intelligence training and certification course. Join this AI training and get great exposure to industry practices. Be the most wanted candidate in the industry with this online AI training course.

Next Class Begins in 3 days - 15 Dec 2019

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Instructor-led Live Online Classes

Upcoming Artificial Intelligence Classes

15 Dec

15 Dec ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 449
Discount on Call
25 Dec

25 Dec ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 449
04 Jan

04 Jan ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 449
14 Jan

14 Jan ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 449

15 Dec ( 6 Weeks)

09.00 - 10.00 PM EST

USD 449
Discount on Call

25 Dec ( 6 Weeks)

09.00 - 10.00 PM EST

USD 449

04 Jan ( 6 Weeks)

09.00 - 10.00 PM EST

USD 449

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Artificial Intelligence Certification Training Course Roadmap

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Introduction to Artificial Intelligence

    • Get a full-fledged Introduction to AI
    • Learn about the Components of AI
    • Learn about the advantages of using AI?
    • Learn about the Applications of AI in various industries
    • Learn about the Meaning, Scope, and Stages Of Artificial Intelligence
    • Get a sound introduction to the installation of Anaconda
    • Learn about the Creating of Environment with stable Python version
    • Get a sound Introduction to TensorFlow, Keras, OpenCV, Caffe, Theano
    • Learn about Installation of required libraries
    • Get knowledge of Industry Applications of AI
    • Learn about the benefits Multiple Industries

Neural Networks

    • Get a sound Introduction to Neural Networks
    • Learn about the Gradient Descent
    • Get an Introduction to Perceptron & Neural Networks
    • Learn about the Batch Normalization procedures
    • Learn about the Activation and Loss functions
    • Learn about the Hyperparameter tuning
    • Learn about the Deep Neural Networks
    • Get knowledge of Tensor Flow & Keras for Neural Networks & Artificial Intelligence
    • Get knowledge of Understand Neural Networks in Detail
    • Get knowledge of Illustrating Multi-Layer Perceptron
    • Learn about the Backpropagation – Learning Algorithm
    • Learn about the Understanding of Backpropagation – Using Neural Network Example
    • Learn about the MLP Digit-Classifier using TensorFlow
    • Learn about the Building of a multi-layered perceptron for classification

Convolutional Neural Networks

    • What is a Convolutional Neural Network
    • Get an Understanding the architecture of CNN
    • Learn about the Use cases of CNN
    • What is a pooling layer
    • How to visualize using CNN
    • How to fine-tune a Convolutional Neural Network
    • What is Transfer Learning
    • Get an Understanding of Recurrent Neural Networks
    • Learn about the feature maps, Kernel filter, pooling
    • Learn about the Deploying convolutional neural network in TensorFlow

Restricted Boltzmann Machine (RBM) and Autoencoders

    • Get an introduction to RBM and autoencoders
    • Learn about the Restricted Boltzmann Machine
    • Learn about the Applications of RBM
    • Get an Introduction to Autoencoders
    • Learn about the Autoencoders applications
    • Get a good Understanding Autoencoders
    • Learn about the Building an Autoencoder model
    • Learn about the Collaborative Filtering with RBM
    • Learn how to deploy it for deep neural networks

Generative Artificial Intelligence, Generative Adversarial Networks

    • Learn about the Text generation using LSTM and generative recurrent networks
    • Get ab Understanding about DeepDream algorithm
    • Learn about the Image generation using variational autoencoders
    • Get an understanding of GANs theory and practical models
    • Learn about The Generator, the Discriminator, the Adversarial network
    • Deep Convolutional Generative Adversarial networks
    • Learn about the Producing audio using GAN
    • Learn about Unsupervised learning using Autoencoders

MLP And Regularization Techniques

    • Learn about the Binary classification problem using MLP on IMDB dataset
    • Learn about the Multi-class classification problem using MLP on Reuters dataset
    • Learn about the Regression problem using MLP on Boston Housing dataset
    • Get a good knowledge of the Types of Machine Learning outcomes
    • Learn about the Handling imbalanced datasets and avoiding overfitting and underfitting
    • Learn about the Simple hold-out validation
    • Learn about the K-Fold validation
    • What is Iterated K-fold validation with shuffling
    • Learn what is Adding weight regularization
    • Learn about the Drop Out and Drop Connect
    • Get knowledge of Adding Noise – Data Noise, Label Noise, Gradient Noise
    • Learn about the Batch Normalization
    • Learn about the Data Augmentation
    • Learn about the Weight initialization technique


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Course Curriculum

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Artificial Intelligence  Corporate Training

Artificial Intelligence Corporate Training

Equip your staff with the best AI Corporate Training. Our Artificial Intelligence Corporate Training comes with great syllabus crafted especially for the corporate setup.

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Our Reviews

6K + Learners | 1578 Reviews

Customer Reviews

Donny Papic

This course was amazing. Great way to learn some of the practical elements of data science. Coming from a maths background I really appreciated the fact that the theory behind the models we built was explained. A wonderful course and I am now about to enroll in other courses.


This is a pretty good beginner course for anyone totally new to this field. Still, this course is a subset of Machine Learning A-Z course by the same team. Almost everything covered in this course is covered in that plus it is Hands-On in Python and R. This course basically provides a whole workflow of a data science project.

Chenaj Teja Potu

An absolutely great course. I'm new to learning about Data Science and Kirill's explanation really is step-by-step and makes no assumptions about what you should know. He explains why each action is done and how it applies to the real world. By the time you finish this course, you'll really feel much more capable of analyzing data.

Bosun Sogeke

Really this course is very helpful and I have learned a lot of new areas in data science especially data preparation, data cleaning and data analysis. I have learned about data modeling using logistic regression which will be very helpful in my day to day work.

Kim Adams

Well-structured and practice-oriented course, I would recommend it to anyone who wants to quickly get up to speed in such core Data Science skills as data visualization, ETL, modeling, and communication.

Gururaju BM

Loved this course. Lots of good material and the instructor is great. He keeps things exciting and keeps challenging. This course kind of made me realize what I like the most and pushed me towards a career path. Definitely, recommend it if you are anything like me- a fresher with little knowledge in data science and interested in pursuing a career in this field.

Nibha Thakur

I think the course did well in terms of the flow of topics and covering the fundamentals. It does add great value to beginners. However, I expected it to cover data mining and visualizations in more detail. Anyway, kudos to super data science team for their efforts.

Debmalya Datta

Very good course, love the outline of a broad topic which still has lots of practical examples. The speed is exactly right for a beginner, he doesn't dwell too long on any subject or details but instead is focused on necessary practicalities. Good job!

Prakash Shekade

This is a good survey course that has helped me not only develop the skills necessary to break into the data science field but also to understand how the entire process works as a whole. A big thank you to the JanBask team.

Buddhadev Choudhury

This is an amazing course. Probably the best introduction possible to data science. The instructor is speaking in a very understandable way and spend time on the useful details. Thanks.


Very good course. Gave me the information and tools that I was looking for in order to apply for Data Science jobs. Data Science A-Z course by is very nice & interactive course. I am very impressed with the instructor’s approach in explaining all the data science concepts with related examples.Thanks a million.

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