Certificate in
Artificial Intelligence
for Executives

Are you encountering formidable challenges in your business operations? How much time and resources are required to overcome them? Efficiency is key to achieving more with less expenditure. Artificial Intelligence (AI) emerges as a solution, simulating human-like intelligence to streamline processes. While AI has garnered recognition, it continues to evolve, exhibiting dynamic and adaptable behaviors.

In this Anderson training program, participants will delve into the fundamentals of AI and its widespread applications. AI technology finds utility across diverse sectors, including decision-making, gaming, media, finance, business operations, medical diagnostics, and scientific research.

Through this practical training course, delegates will acquire expertise in the core principles and practical applications of AI, encompassing machine learning, probabilistic reasoning, computer vision, fuzzy logic, and genetic algorithms.

By attending this Anderson training course, delegates will be able to:

• Develop many AI skills necessary to get work completed in less time
• Understand how to plan using logic
• Explain how to imitate human neural network in classification
• Understand how to design a Machine Learning based applications
• Analysis and Design AI Application

This Anderson training 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 very near AI era
• Anyone who is interested in enhancing the current business using wide steps

• 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 

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

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

• 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 

• 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

Anderson Certificate of Completion will be provided to delegates who attend and complete the course