Essentials of Artificial Intelligence

About the Course

Artificial Intelligence is the ability to act and think rationally. Applied AI is achieved when one can think and act/react in daily business. Artificial Intelligence has invaded everywhere, both in personal and business life. Today, Artificial Intelligence is playing a vital role in a multitude of industries, including education, medical care, power and water, tourism, financial services, and sustainable energy. It achieves pleasing results and unprecedented capabilities without costing excess effort or money. It is a must now to know how wisely to manage business operations and be able to deliver them in the most optimised and efficient fashion. The essential concepts of artificial intelligence and how and when to employ them are being demonstrated.

This 5-day interactive Essentials of Artificial Intelligence training course has been designed to develop the insight of the delegates on Artificial Intelligence. It shows how Artificial Intelligence can be leveraged to revolutionise industries, boost productivity, and introduce new efficiencies. Also, the training programme highlights how Artificial intelligence empowers us to tackle challenges previously dismissed as impossible or once insurmountable. Delegates will learn how to build, assess and improve Artificial Intelligence applications. The modules will enable the delegates to understand the theories of Artificial Intelligence and help them know how to solve real-world problems using carefully chosen case studies in a wide array of fields.

Core Objectives

The delegates will achieve the following objectives:

• Develop necessary Artificial Intelligence
• Know how to plan and analyse using logic
• Describe how to imitate humans in clustering and classification
• Understand how to design Machine Learning based applications
• Analysis and design of Artificial Intelligence Applications

Training Approach

This training course will utilise various proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. It will combine presentations and workshops (computer-based activities) with instructor-guided interactive discussions between delegates relating to their interests, practical exercises, video material, and case studies, aiming to stimulate these discussions and provide maximum benefit to the delegates. This will support the formal presentation sessions. Above all, it will extensively use case examples and case studies of issues in which he has been personally involved. Most computer-based activities will not include programming so that AI concepts will be clearly elaborated for non-technical delegates.

The Attendees

This training course's attendees include professionals interested in enhancing business, decision-makers, marketing, finance, engineering, and other competing technologies. 

Likewise, it will be valuable to the professionals but not limited to the following:

• Project Managers
• Executive Managers
• Marketing Managers
• Quality, Safety, Reliability, and Security Officers
• Finance, Budget-planner, Decision Takers, and Policymakers
• Instrumentation, Process, Systems, Electrical, and Mechanical Engineers

Daily Discussion

DAY ONE: OVERVIEW OF ARTIFICIAL INTELLIGENCE (AI)

• Introduction to Artificial Intelligence (AI) and Success Stories
• Human Intelligence vs Artificial Intelligence
• History of Artificial Intelligence (AI)
• Intelligent Agents and Their Roles
• Limits of Artificial Intelligence (AI)
• Intelligent Decision Making

DAY TWO: INTELLIGENT AGENTS

• Introduction to Agents
• Different Types of Agents
• Knowledge-base and Data Base
• Logic Reasoning
• Unification
• Deduction Processes

DAY THREE: MACHINE LEARNING

• Supervised and Unsupervised Learning
• Classification and Clustering
• Artificial Neural Networks
• Learn by Examples
• Object Recognition
• Features and Classes

DAY FOUR: FUZZY LOGIC

• Overview to Fuzzy Thinking
• Fuzziness vs Probability
• Fuzzy Set and Fuzzy Rules
• Significance of Fuzzy logic
• Fuzzy Controllers
• Designing a Tiny Machine Learning Application

DAY FIVE: GENETIC ALGORITHM

• Introduction of Genetic Algorithms
• The Need for Optimisation, Maximisation, and Minimisation
• How does GA work and evolve?
• Genetic Algorithm Chromosomes, Genes, Selection, Mutation, and Crossover
• Dimension to Use Genetic Algorithm
• Real Genetic Algorithm Examples to Optimise Business Processes