Artificial Intelligence AI Course in Bangalore

Learn Artificial Intelligence Course

Best Artificial Intelligence AI in Bangalore & Top Artificial Intelligence AI Course Institute


Artificial Intelligence AI Course in Bangalore

Best Artificial Intelligence AI in Bangalore & Top Artificial Intelligence AI Course Institute

Are you looking for the best Artificial Intelligence AI Course in Bangalore?. Our Artificial Intelligence AI Course Institute in Bangalore will ensure you to understand the Concepts and terminologies of Artificial Intelligence AI with both Theory and Practicals to get real-time understanding and Exposure in Learning Artificial Intelligence AI . Our Artificial Intelligence AI Syllabus and Course Content is crafted by many MNC HR’s and Experts which is as per current Industry requirements and helps you to be one step ahead in the Artificial Intelligence AI field compared to other course institutes.Bangalore Training Academy Machine Learning course is your first step towards careers in Data Analysis, Data Science, Machine Learning, AI, and more. Learn to analyze large amounts of data to bring out insights using machine learning techniques in Python and become one of the most in-demand Data Scientists in the world today. 

Our Artificial Intelligence AI Trainers are working professionals with minimum 10+ Years of Expertise in Artificial Intelligence AI Domain and provide course with real-time projects. To know more about Artificial Intelligence AI , Book a Free Demo Class today and get an overall idea of what you are going to learn and scope of doing Artificial Intelligence AI Course as per current Market Trends. We also Provide Lab Facilities, Mock Interviews, Resume Preparation and 100% Placement Assistance to get you placed in Artificial Intelligence AI.Career Benefits Of Artificial Intelligence Training, There are a lot of companies in Bangalore which have now started to use Artificial Intelligence to stay ahead in this competitive market. AI is everywhere and this trend in AI adoption will only grow in the future. Bangalore training academy offers the compete training in AI that can be taken by professionals in order to get hands-on experience in mastering this technology and grabbing the best jobs in the domain. Bangalore is the financial capital of the country. There are huge number of enterprises in this city that are exclusively deploying AI making it the hotbed for AI related job opportunities. this course is meaningful for Python Developers, Robotics Engineer, and Fresh Graduates. After you complete your course modules, you will have to work on projects. We will provide certificates after evaluating your projects, thereafter you will be considered as certified professionals.This course will starts with broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems and will take you to the expert level. You will learn about Python Programming, Machine Learning and Artificial Intelligence as part this course. Hands on experience will be gained and the Artificial Intelligence training is delivered by experienced AI Developers.


Artificial Intelligence Course Syllabus

Artificial Intelligence Course Content


Module 1 : Artificial Intelligence

An Introduction to Artificial Intelligence

History of Artificial Intelligence

Future and Market Trends in Artificial Intelligence

Intelligent Agents – Perceive-Reason-Act Loop

Search and Symbolic Search

Constraint-based Reasoning

Simple Adversarial Search (Game-Playing)

Neural Networks and Perceptrons

Understanding Feedforward Networks

Boltzmann Machines and Autoencoders

Exploring Backpropagation

Module 1 : Deep Networks and Structured Knowledge

Deep Networks/Deep Learning

Knowledge-based Reasoning

First-order Logic and Theorem

Rules and Rule-based Reasoning

Studying Blackboard Systems

Structured Knowledge: Frames, Cyc, Conceptual Dependency

Description Logic

Reasoning with Uncertainty

Probability & Certainty-Factors

What are Bayesian Networks?

Understanding Sensor Processing

Module 3: Natural Language Processing

Studying Neural Elements

Convolutional Networks

Recurrent Networks

Long Short-Term Memory (LSTM) Networks





Module 4: Machine Learning and Hacking

Machine learning

Reprise: Deep Learning

Symbolic Approaches and Multiagent Systems

Societal/Ethical Concerns

Hacking and Ethical Concerns

Behaviour and Hacking

Job Displacement & Societal Disruption

Ethics of Deadly AIs

Danger of Displacement of Humanity

Module 5: The future of Artificial Intelligence

Natural Language Processing

Natural Language Processing

Natural Language Processing in Python

Natural Language Processing in R

Studying Deep Learning

Artificial Neural Networks

ANN Intuition

Plan of Attack

Studying the Neuron

The Activation Function

Working of Neural Networks

Exploring Gradient Descent

Stochastic Gradient Descent

Exploring Backpropagation



Module 6: Artificial and Conventional Neural Network

Understanding Artificial Neural Network

Building an ANN

Building Problem Description

Evaluation the ANN

Improving the ANN

Tuning the ANN

Conventional Neural Networks

CNN Intuition

Convolution Operation

ReLU Layer

Pooling and Flattening

Full Connection

Softmax and Cross-Entropy

Building a CNN

Evaluating the CNN

Improving the CNN

Tuning the CNN

Module 7: Recurrent Neural Network

Recurrent Neural Network

RNN Intuition

The Vanishing Gradient Problem

LSTMs and LSTM Variations

Practical Intuition

Building an RNN

Evaluating the RNN

Improving the RNN

Tuning the RNN

Module 8: Self-Organizing Maps

Self-Organizing Maps

SOMs Intuition

Plan of Attack

Working of Self-Organizing Maps

Revisiting K-Means

K-Means Clustering

Reading an Advanced SOM

Building an SOM

Module 9: Boltzmann Machines

Energy-Based Models (EBM)

Restricted Boltzmann Machine

Exploring Contrastive Divergence

Deep Belief Networks

Deep Boltzmann Machines

Building a Boltzmann Machine

Installing Ubuntu on Windows

Installing PyTorch

Module 10: AutoEncoders

AutoEncoders: An Overview

AutoEncoders Intuition

Plan of Attack

Training an AutoEncoder

Overcomplete hidden layers

Sparse Autoencoders

Denoising Autoencoders

Contractive Autoencoders

Stacked Autoencoders

Deep Autoencoders

Module 11: PCA, LDA, and Dimensionality Reduction

Dimensionality Reduction

Principal Component Analysis (PCA)

PCA in Python

PCA in R

Linear Discriminant Analysis (LDA)

LDA in Python

LDA in R

Kernel PCA

Kernel PCA in Python

Kernel PCA in R

Module 12: Model Selection and Boosting

K-Fold Cross Validation in Python

Grid Search in Python

K-Fold Cross Validation in R

Grid Search in R


XGBoost in Python

XGBoost in R

Artificial Intelligence Trainer Profile & Placement

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Artificial Intelligence training institutes ?


Course fees

Working Professionals as trainers

Trainers Experience

Student Web Portal

Class Room Infrastructure

Reference Pay


Lab Infrastructure

Who are our trainers?

Student’s Ratings

Trust & Credibility

Fees Negotiable?


Very competitive and affordable.


Min 7+ Years experience

We have a dedicated students portal

All classrooms are Ventilated with power backups.

We pay Rs 1000 for every student you refer.

Yes its very flexible, you can pay the fees in instalment

We Have Excellent Lab Facility and Provide server access

IT consultants,Solutions Architects, Technical Leads

5 ***** ratings from more than 4000 students

Very High

Definitely yes we understand the financial situation of each student

@ Other institutes

Really less fees but compromise with the quality

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