Artificial Intelligence Training

(3) 3 Ratings

Course Schedule

30

JUL

Mon - Sat

07:30 PM - 10:00 PM ( IST )

06

AUG

Mon - Fri

11:00 AM - 02:00 PM ( IST )

11

AUG

Sat - Sun

05:30 AM - 06:30 AM ( IST )


Total Learners

850 Learners


LMS Access

365 days

Course duration

30 days


Support

24/7 support

Can't find convenient schedule?

Our experts can help you find a batch that meets your needs

The Instructor for this course is from one of the Big5 Companies in the world.

Drop us a Query

I agree to the Training T&C

Modes of Training

Corporate Training

Live, Classroom Or Self Paced Training

Online Classroom

Attend our Instructor Led Online Virtual Classroom

Self Paced Training

Comprehensive Recorded Videos by Experts to learn at your own pace

Course Features

Live Instructor-led Classes

This isn't canned learning. Its dynamic, its interactive, its effective

Expert Educators

Only the best or they're out. We are constantly evaluating our trainers

24&7 Support

We never sleep. Need something answered at 3 am? No Problem

Flexible Schedule

You don't learn as per our calendar. We work according to yours

☰ Details

Course Curriculum

Introduction to Artificial Intelligence

  • Classification and Regression using Supervised learning
  • Predictive analytics with Ensemble learning
  • Detecting Patterns with unsupervised learning
  • Building recommender systems.

Introduction to Deep Learning & Neural Networks

  • Advantages of machine learning over other conventional methodologies 
  • Introduction to Deep Learning within machine learning.
  • How it differs from all others methods of machine learning.
  • Training the system with training data.
  • Classification and regression supervised learning.
  • Clustering and association unsupervised learning.
  • Introduction to AI 
  • Introduction to Neural Networks.
  • Concept of Machine Learning.    

Deep dive into Neural Networks with TensorFlow

  • Understand limitations of a Single Perceptron
  • Understand Neural Networks in Detail
  • Illustrate Multi-Layer Perceptron
  • Backpropagation – Learning Algorithm
  • Understand Backpropagation – Using Neural Network Example
  • MLP Digit-Classifier using TensorFlow
  • TensorBoard.


Master Deep Networks

  • Why Deep Networks
  • Why Deep Networks give better accuracy?
  • Use-Case Implementation on SONAR dataset
  • Understand How Deep Network Works?
  • How Backpropagation Works?
  • Illustrate Forward pass, Backward pass
  • Different variants of Gradient Descent
  • Types of Deep Networks

Recurrent Neural Networks (RNN)

  • Introduction to RNN Model
  • Application use cases of RNN
  • Modelling sequences
  • Training RNNs with Backpropagation
  • Long Short-Term memory (LSTM)
  • Recursive Neural Tensor Network Theory
  • Recurrent Neural Network Model.


TFLearn API for TensorFLow

  • Implementing neural networks using TFLearn API 
  • defining and composing models using TFLearn 
  • Deploying TensorBoard with TFLearn. 

GPU in Deep Learning

  • Introduction to GPUs and how they differ from CPUs.
  • importance of GPUs in training Deep Learning Networks 
  • Forward pass and backward pass training technique 
  • GPU constituent with simpler core and concurrent hardware. 

Chatbots

Automated conversation bots using one of the descriptive techniques

  • IBM Watson
  • Google API.AI
  • Microsoft’s Luis
  • Amazon Lex
  • Generative
  • Open-Close Domain Bots
  • Sequence to Sequence model (LSTM).

Keras API

  • Define Keras
  • How to compose Models in Keras
  • Sequential Composition
  • Functional Composition
  • Predefined Neural Network Layers
  • What is Batch Normalization
  • Saving and Loading a model with Keras
  • Customizing the Training Process
  • Using TensorBoard with Keras
  • Use-Case Implementation with Keras.

Course Description

What skills will you learn in this Course?

  • Understand and master the concepts and principles of machine learning, including its mathematical and heuristic aspects.
  • Understand neural networks and multi-layer data abstraction, empowering you to analyze and utilize data like never before.
  • Design and build your own intelligent agents and apply them to create practical AI projects including games, machine learning models, logic constraint satisfaction problems, knowledge-base systems, probabilistic models, agent decision-making functions and more.4
  • Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces.
  • Ability to apply Artificial Intelligence techniques for problem-solving and explain the limitations of current Artificial Intelligence techniques.
  • Master skills and tools used by the most innovative AI teams across the globe as you delve into specializations, and gain experience solving real-world challenges.

Who should take this Artificial Intelligence Training Course?

  • Those who have background in domains like Data Science, ecommerce, data analytics, SEO
  • IT personnel looking for a stable career.

What is the AI market trend in Bangalore?

Currently there are about thousands of jobs in Artificial Intelligence in Bangalore. This will obviously increase as many companies require Artificial Intelligence technology solutions nowadays. There are various requirements in Artificial Intelligence particularly in research posts. There are many startups on Artificial Intelligence who are getting seed investments now. So when they grow and scale there will be huge vacancies in this domain in the future.

FAQ

Do you have self paced training?

Yes, we offer self paced training

How do you provide training?

We offer three different modes of training. Instructor Led Live Training, Self Paced Training and Corporate Training

Do you offer any discounts?

Yes we offer discounts for group of 3 plus people.

Can I choose timings that suits my schedule?

Yes we are the only company where we work with students and offer flexible timings which fits your schedule

Who are the Instructors?

All our instructors are from MNC companies who have real time experience of more than 10 years.

Can I attend a demo session before joining?

Yes we offer a free demo session with the instructors. The trainer will answer all your queries and share the course agenda.

Course Reviews

Ravi

Great learning platform for Artificial Intelligence online, It was the best institute i have ever seen. Training cost also affordable, thanks for providing material and recorded videos. I thank Trainer and Team for the great support, Trainer is so passionate about training. Thank you all.

Siva

Excellent Training. I have learned a lot from this course. It really helped me a lot. Thanks to the Trainer.

Nithya

It was the Best Experience to learn AI course from you. Trainer was a Real-Time Expert Guy and explained us with a lot of Examples. The course helped me a lot in my Carrer. Thanks to whole team.