Artificial Intelligence Training Institute in India

Artificial Intelligence Training Institute in India

Course code: LBG0726

IT & Software Data Science

About Course:

Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives.

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What is Artificial Intelligence ?

  • Artificial Intelligence will define the next generation of software solutions.
  • This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives.
  • It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI.
  • Discover how machine learning can be used to build predictive models for AI.
  • Learn how software can be used to process, analyze, and extract meaning from natural language; and to process images and video to understand the world the way we do.

Who can learn Artificial Intelligence ?

  • Then don't forget one very important prerequisite, passion, without it you are probably wasting your time.
  • It is important to love whatever it is you are trying to achieve because everything is easier that way.

What are the Roles and Responsibilities of Artificial Iintelligence ?

  • Communication skills are important for artificial intelligence programmers because they must be able to clarify their objectives to others in their team, and they may be responsible for supervising other programmers as part of their duties.
  • One role for an AI specialist is to program computers to test hypotheses in relation to how the human mind works, through cognitive simulation. An example of this can be seen in Cognitecs ‘FACEVACS’ technology.
  • They use AI for security purposes, to recognise faces and identify whether the person is who they claim to be.
  • The majority of AI specialists work in applied AI, their purpose is to program computer smart systems.

What is Future scope and market shares of Artificial Intelligence ?

  • Future Scope of Artificial Intelligence.
  • Artificial Intelligence(AI) is the simulation of human intelligence by machines.
  • In other words, it is the method by which machines demonstrate certain aspects of human intelligence like learning, reasoning and self- correction.
  • The future of Artificial intelligence is hazy.

What is Salary package of Artificial Intelligence ?

  • The average salary for a Data Scientist, IT with Machine Learning skills is Rs874,691 per year.
  • Experience strongly influences pay for this job.
  • Most people move on to other jobs if they have more than 20 years' experience in this career.

What are the Job Opportunities in Artificial Intelligence ?

  • Artificial Intelligence Consultant
  • Artificial Intelligence Head
  • Artificial Intelligence Engineers

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

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
  • Natural Language Processing
  • Studying Neural Elements
  • Convolutional Networks
  • Recurrent Networks
  • Long Short-Term Memory (LSTM) Networks

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 
  • 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

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

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

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
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
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 

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
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
  • XGBoost in Python
  • XGBoost in R

What is the Artificial Intelligence Course Duration?

  • Overall - 2 Months
  • Batch Mode - Daily / Weekend.

What is the Artificial Intelligence Course fees ?

  • Our fees are dependent on batches, You can call our executive and they tell you current batch fees.

Who are the trainers for Artificial Intelligence Course ?

  • We have experienced trainers team with us, who is having more than 5+ years real time industry experience, other than that they have teaching experience.
  • Our trainers are experts in their field and have thorough domain knowledge and hands-on industry expertise.

 Do you provide Artificial Intelligence Course training material to the candidates ?

  • Yes, study material will be provided to you in our website, we will give you access to our study material.

 How to register ?

  • There are two ways of getting register for the course, one you can enter Name, Email, Phone and Course and registrar on website.
  • Second, you can simply give us a call our executive will do all the needful for you.

 What are the payment options?

  • Bank Transfer (NEFT)
  • Cheque Payment
  • Google pay, Paytm
  • Western Union Money transfer 

Will I get a demo class?

  • Yes, you can registrar for Free Demo class.

What is system configuration required for an online training class?

  • You don’t need any special configuration, have the proper equipment like headphone, internet, regular configured course.

What if I have any questions during the class ?

  • You can always ask any question during class and the trainer will right away answer your question.

What if I miss the class?

  • You don’t need to worry we will give you recorded session, and we will let u know the class time for missed class from another batch, you just need to manage time.

Will there be interactive classes, Practical classes with real-time exposure?

  • There will be an interactive call, we will take practical classes.

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