This event has been UPDATED since it was first published. View the UPDATED & Detailed Artificial Intelligence Training course for beginners Information here.

4 Weeks Artificial Intelligence Training course is an Instructor-led and guided training being delivered from February 1, 2021 - February 24, 2021 for 16 Hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session.

• All Published Ticket Prices are in US Dollars
• The course will be taught in English language

• February 1, 2021 - February 24, 2021 US Pacific time
• 4 Weeks | 2 Hours on Mondays, 2 Hours on Wednesdays every week US Pacific time
• 5:30 PM - 7:30 PM US Pacific time each of those days
• Please click here to add your city name and check your local date and time for the first session to be held on February 1, 2021 at 5:30 PM US Pacific Time.

• 16 Hours, 8 sessions, 4 weeks of total Instructor-led and guided training
• Training material, instructor handouts and access to useful resources on the cloud provided
• Practical Hands-on Lab exercises provided
• Actual code and scripts provided
• Real-life Scenarios

No previous experience of AI is required

Those with no background or little background in AI who aspire to learn AI

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 made of?
• Difference between Human and Machine Intelligence

3. Research Areas of AI

• Real Life Application of Research Areas
• Task Classification of AI

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 Engine
• User 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
• Applications of Robotics

10. Computer Vision

• Tasks of Computer Vision
• Application Domains of Computer Vision

11. 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