Artificial Intelligence

Highlights of Artificial Intelligence Training at VSM

          • VSM Global Offering the best quality of Artificial Intelligence training in Chennai with placement.

          • Learn Artificial Intelligence at your flexible Timing and affordable fee structure.

          • Providing Classroom, Online and corporate training.

          • VSM Global offers Artificial Intelligence Course syllabus framed in a way to train from the scratch to Expert level, trainers are well experienced in the industry. .

          • Guide you to solve the challenges by providing good quality of Course Materials.

          • After Completing the Artificial Intellignce Classes in Chennai at VSM Global, you become a Proficient Artificial Intelligence specialist with the High Paying profession.

Course Content

CHAPTER 1: INTRODUCTION TO AI

  • What is Artificial Intelligence

  • Types of AI

  • Perceptron

  • Multi-Layer Perception

  • Markov Decision Process

  • Logical Agent & First Order Logic

  • AL Applications

CHAPTER 2: ARTIFICIAL INTELLIGENCE FUNDAMENTALS

  • Application of AI

  • History of AI

  • Machine Learning

  • Fuzzy Logic

  • Expert Systems

  • Computer Vision

CHAPTER 3: REINFORCEMENT LEARNING AND Q-LEARNING INTUITION

  • Q-Learning Introduction

  • Reinforcement Learning Concepts

  • Marcov Decision Process

  • Adding a “Living Penalty”

  • Temporal Difference

  • Q-Learning Visualization

CHAPTER 4: DEEP Q-LEARNING INTUITION

  • Plan of Attack

  • Deep Q-Learning Intuition – Learning

  • Experience Replay

  • Action Selection Policies

CHAPTER 5: CREATING ENVIRONMENT

  • Installation of environment for Self Driving Car

  • Building AI

  • Playing with AI

  • Challenge Solutions

CHAPTER 6: DEEP CONVENTIONAL Q-LEARNING INTUITION

  • Plan of Attack

  • Deep Conventional Q-Learning Intuition

  • Eligibility Trace

CHAPTER 7: ARTIFICIAL INTELLIGENCE AND THEIR TECHNOLOGIES

  • Human Factors and Evaluation

  • Information Retrieval & Visualisation

  • Language & Learning Technology

  • Vision / Image Processing

CHAPTER 8: ROBOTICS AND ARTIFICIAL INTELLIGENCE

  • Introduction

  • Difference between Robotics & AI

  • Natural Languages Processing (NLP)

  • Task of NLP

    • Text Classification

    • Text Matching

    • Phonetic Matching

    • Flexible string Matching

  • Natural Language Interfaces

  • Active Computer Vision

CHAPTER 9: PERFORMANCE METRICS

  • Introduction

  • Key Methods for Performance Metrics

  • Confusion Matrix Example

  • Terms of Confusion Matrix

  • Accuracy

  • Recall / Sensitivity

CHAPTER 10: NEURAL NETWORKS

  • Introduction – Error, Cost & Loss Functions

  • Challenges in Gradient

  • Gradient Descent

  • Techniques to overcome challenges of Mini Batch

  • Convolution Layer and Max-Pooling

  • Hands-on use cases using RNN, LSTM and GRU

Learning Objectives

          • From this training, You can get Strong knowledge of Artificial Intelligence techniques and its procedures.

          • Also have Real-time experience in Artificial Intelligence techniques and tools.

          • Expert in Artificial Intelligence Advanced topics and Modules.

          • Hands-on Knowledge in Artificial Intelligence concepts and techniques.

          • Ability to do techniques in Artificial Intelligence.

          • Deep Knowledge in Artificial Intelligence.

          • To illustrate the concepts of AI.

          • Particularly you can get Good Knowledge in Artificial Intelligence technology.

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