Artificial Intelligence Training

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Artificial Intelligence Training


 (4.8) | 550 Ratings


Introduction


Artificial Intelligence Training Details
Track Regular Track Weekend Track Fast Track
Course Duration 30 Hrs 8 Weekends 5 Days
Hours 1hr/day 2 Hours a day 6 Hours a day
Training Mode Online Classroom Online Classroom Online Classroom
Delivery Instructor Led-Live Instructor Led-Live Instructor Led-Live


Course Curriculum

1. OVERVIEW OF AI

  • What is Artificial Intelligence
  • Philosophy of AI
  • Goals of AI
  • What Contributes to AI
  • Programming Without and With AI
  • What is AI Technique
  • Applications of AI
  • History of AI

2. INTELLIGENT SYSTEMS

  • What is Intelligence?
  • Types of Intelligence
  • What is Intelligence Composed of?
  • Difference between Human and Machine Intelligence

3. RESEARCH AREAS OF AI

  • Real Life Applications of Research Areas
  • Task Classification of AI
  • Artificial Intelligence

4. AGENTS AND ENVIRONMENTS

  • What are Agent and Environment?
  • Agents Terminology
  • Rationality
  • What is Ideal Rational Agent?
  • The Structure of Intelligent Agents
  • The Nature of Environments
  • Properties of Environment

5. POPULAR SEARCH ALGORITHMS

  • Single Agent Pathfinding Problems
  • Search Terminology
  • Brute-Force Search Strategies
  • Informed (Heuristic) Search Strategies
  • Local Search Algorithms

6. FUZZY LOGIC SYSTEMS

  • What is Fuzzy Logic?
  • Why Fuzzy Logic?
  • Fuzzy Logic Systems Architecture
  • Example of a Fuzzy Logic System
  • Application Areas of Fuzzy Logic
  • Advantages of FLSs
  • Disadvantages of FLSs

7. NATURAL LANGUAGE PROCESSING

  • Components of NLP
  • Difficulties in NLU
  • NLP Terminology
  • Steps in NLP
  • Implementation Aspects of Syntactic Analysis

8. EXPERT SYSTEMS

  • What are Expert Systems
  • Capabilities of Expert Systems
  • Components of Expert Systems
  • Knowledge Base
  • Inference EngineUser Interface
  • Expert Systems Limitations
  • Applications of Expert System
  • Expert System Technology
  • Development of Expert Systems: General Steps
  • Benefits of Expert Systems

9. ROBOTICS

  • What are Robots?
  • What is Robotics?
  • Difference in Robot System and Other AI Program
  • Robot Locomotion
  • Components of a Robot Artificial Intelligence
  • Computer Vision
  • Tasks of Computer Vision Application Domains of Computer Vision
  • Applications of Robotics

10. NEURAL NETWORKS what are Artificial Neural Networks (ANNs)?

  • Basic Structure of ANNs
  • Types of Artificial Neural Networks
  • Working of ANNs
  • Machine Learning in ANNs
  • Bayesian Networks (BN)
  • Applications of Neural Networks

11. REINFORCEMENT LEARNING AND HIDDEN MARKOV MODELS

  • Engineering agents that learn from a sequence of actions using rewards and penalties.

12. Q-LEARNING AND POLICY GRADIENT

Operate in a stateful world over value and policy approximations tasks

13. AI ISSUES

14. AI TERMINOLOGY

15. JOB INTERVIEW ESSENTIALS

  • CV Preparation
  • Effective selling of CV in job sites
  • Soft Skills for Data Scientist
  • Project: Final presentation
  • Executive presence for Interview

 

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Course Curriculum

1. OVERVIEW OF AI

  • What is Artificial Intelligence
  • Philosophy of AI
  • Goals of AI
  • What Contributes to AI
  • Programming Without and With AI
  • What is AI Technique
  • Applications of AI
  • History of AI

2. INTELLIGENT SYSTEMS

  • What is Intelligence?
  • Types of Intelligence
  • What is Intelligence Composed of?
  • Difference between Human and Machine Intelligence

3. RESEARCH AREAS OF AI

  • Real Life Applications of Research Areas
  • Task Classification of AI
  • Artificial Intelligence

4. AGENTS AND ENVIRONMENTS

  • What are Agent and Environment?
  • Agents Terminology
  • Rationality
  • What is Ideal Rational Agent?
  • The Structure of Intelligent Agents
  • The Nature of Environments
  • Properties of Environment

5. POPULAR SEARCH ALGORITHMS

  • Single Agent Pathfinding Problems
  • Search Terminology
  • Brute-Force Search Strategies
  • Informed (Heuristic) Search Strategies
  • Local Search Algorithms

6. FUZZY LOGIC SYSTEMS

  • What is Fuzzy Logic?
  • Why Fuzzy Logic?
  • Fuzzy Logic Systems Architecture
  • Example of a Fuzzy Logic System
  • Application Areas of Fuzzy Logic
  • Advantages of FLSs
  • Disadvantages of FLSs

7. NATURAL LANGUAGE PROCESSING

  • Components of NLP
  • Difficulties in NLU
  • NLP Terminology
  • Steps in NLP
  • Implementation Aspects of Syntactic Analysis

8. EXPERT SYSTEMS

  • What are Expert Systems
  • Capabilities of Expert Systems
  • Components of Expert Systems
  • Knowledge Base
  • Inference EngineUser Interface
  • Expert Systems Limitations
  • Applications of Expert System
  • Expert System Technology
  • Development of Expert Systems: General Steps
  • Benefits of Expert Systems

9. ROBOTICS

  • What are Robots?
  • What is Robotics?
  • Difference in Robot System and Other AI Program
  • Robot Locomotion
  • Components of a Robot Artificial Intelligence
  • Computer Vision
  • Tasks of Computer Vision Application Domains of Computer Vision
  • Applications of Robotics

10. NEURAL NETWORKS what are Artificial Neural Networks (ANNs)?

  • Basic Structure of ANNs
  • Types of Artificial Neural Networks
  • Working of ANNs
  • Machine Learning in ANNs
  • Bayesian Networks (BN)
  • Applications of Neural Networks

11. REINFORCEMENT LEARNING AND HIDDEN MARKOV MODELS

  • Engineering agents that learn from a sequence of actions using rewards and penalties.

12. Q-LEARNING AND POLICY GRADIENT

Operate in a stateful world over value and policy approximations tasks

13. AI ISSUES

14. AI TERMINOLOGY

15. JOB INTERVIEW ESSENTIALS

  • CV Preparation
  • Effective selling of CV in job sites
  • Soft Skills for Data Scientist
  • Project: Final presentation
  • Executive presence for Interview

 

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