INTRODUCTION

Modern businesses encounter numerous challenges in conducting their regular operations. It takes a lot of work and money to overcome this obstacle. To accomplish more in less time and at less expense, a smart organization fundamentally needs intelligence. The study of artificial intelligence (AI) aims to replicate human intelligence. Despite its rising and improving reputation in many sectors, artificial intelligence

You will discover the fundamentals of AI and its contemporary applications in this training course. A wide range of industries, including decision-making, gaming, journalism/media, finance, business operations, medical diagnosis, and science, use AI technology. Fuzzy logic, intelligent agents, expert systems, neural networks, and genetic algorithms are examples of contemporary AI. Delegates will get knowledge of AI's foundations and applications.

COURSE OBJECTIVES

By the end of the course, participants should be able to:

• Develop necessary AI
• Understand how to plan and analyze using logic
• Explain how to imitate human in clustering and classification
• Understand how to design a Machine Learning based applications
• Analysis and Design AI Applications

DURATION

5 Days

WHO SHOULD ATTEND

This course is suitable to a wide range of professionals but will greatly benefit:

• Project Managers
• Office Managers
• Leaders
• All professionals who need to fill the gap between the current business situation and the Artificial Intelligence coming era
• Anyone who is interested in enhancing the current business using wide steps

COURSE CONTENT

Day One: An Overview of Artificial Intelligence

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

• Introduction to Fuzzy Thinking
• Fuzziness vs Probability
• Fuzzy set and Fuzzy Rules
• Importance of Fuzzy logic
• Real example of Fuzzy Controllers
• Building a Tiny Machine Learning Application

Day Five: Genetic Algorithm

• Overview of Genetic Algorithms
• The Need for Optimization, Maximization, and Minimization
• How GA Work and Evolve
• Genetic Algorithm Chromosomes, Genes, Selection, Mutation and Crossover
• Dimension to Use Genetic Algorithm
• Real Genetic Algorithm Examples to Optimize Business Processes

GENERAL NOTES

• Our seasoned instructors, who have years of experience as seasoned professionals in their respective fields of work, will be teaching this course. A combination of practical exercises, theory, group projects, and case studies are used to teach the course.
• The participants receive training manuals and supplementary reading materials.
• Participants who complete this course successfully will receive a certificate.
• We can also create a course specifically for your organization to match your needs. To learn more, get in touch with us at training@dealsontrainers.org.
• The training will take place at DEALSON TRAINERS IN NAIROBI, KENYA in Nairobi, Kenya.
• The training fee includes lunch, course materials, and lodging for the training session. Upon request, we may arrange for our participants' lodging and transportation to the airport.
• Payment must be made to our bank account before the training begins, and documentation of payment should be emailed to training@dealsontrainers.org