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This is a 16 hours Instructor-led Artificial Intelligence training Course for Beginners to be taught over 4 weekends.About this Event
Enrollment is open for Upcoming Artificial Intelligence Training Classes <---
- Phone: +1.206.494.3248
- email: [email protected]
- website: https://skillsharp.co
Artificial Intelligence Training course is an Instructor-led and guided training being delivered 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
Weekends Artificial Intelligence Training Course Schedule
- November 7, 2021 - December 4, 2021 US Pacific time
- 4 Weekends | 2 Hours Saturday, 2 Hours Sunday every weekend US Pacific time
- 7:30 AM - 9:30 AM 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 November 7, 2021 at 7:30 AM US Pacific Time.
Features & Benefits
- 4 Weekends , 8 sessions, 16 hours of total Instructor-led and guided training
- Highly Interactive training
- Training material and Practical Hands-On Lab Exercises provided
- Useful Resources on the cloud provided
- Real-time scenarios
Prerequisites
No previous experience of AI is required
Who can take this course?
Those with no background or little background in AI who aspire to learn AI
Course Outline
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
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Event Venue & Nearby Stays
UpSkill Institute, Amsterdam, Netherlands
Tickets
USD 97.00