Introduction to AI

• Definition of Artificial Intelligence

• History and evolution of AI

• The role of AI in today's world

• Types of AI: Narrow vs. General AI

• Key AI terminology and concepts

AI Applications

• AI in healthcare

• AI in finance

• AI in autonomous vehicles

• AI in natural language processing

• AI in gaming and entertainment

• Ethical considerations in AI applications

Machine Learning Fundamentals

• Introduction to Machine Learning (ML)

• Supervised, Unsupervised, and Reinforcement Learning

• Training data, features, and labels

• The role of algorithms in ML

• Practical examples of ML applications

Supervised Learning

• Overview of supervised learning

• Regression vs. classification

• Linear regression

• Logistic regression

• Decision trees and random forests

• Practical demonstration using a simple dataset

Unsupervised Learning and Clustering

• Introduction to unsupervised learning

• Clustering algorithms (K-means, hierarchical clustering)

• Dimensionality reduction (PCA)

• Real-world applications of unsupervised learning

• Hands-on exercise on clustering

Ethics in AI

• AI and bias

• Privacy concerns in AI

• Ethical guidelines and regulations

• Case studies of AI ethics in the real world

• Discussion on the responsibility of AI developers

Hands-On AI Programming

• Introduction to Python libraries for AI (NumPy, Pandas, Scikit-Learn)

• Building a simple machine learning model

• Evaluating the model's performance

• Deploying a basic AI application

• Q&A and course review

 WHO SHOULD ATTEND

• Undergraduate and Graduate Students 

• Professionals and Career Changers

• Managers and Decision Makers 

• Entrepreneurs 

• Policy Makers and Regulators 

• Ethics and Social Sciences Students 

• AI Enthusiast Hobbyists 

LEARNING OUTCOME

Upon completing this course, participants should be able to:

• Define Artificial Intelligence 

• Recognize AI Applications 

• Comprehend Machine Learning 

• Differentiate AI Algorithms 

• Apply Supervised Learning 

• Evaluate AI Models 

• Understand AI Ethics 

• Discuss AI Regulations 

 FOR PRICING AND BOOKING THIS COURSE, PLEASE E-MAIL US AT janice@marcnzed.com 

OR CALL +6012 451 4977 (MALAYSIA) OR  +65 9052 3859 (SINGAPORE)

Certificate

Upon successful completion of the course, participants will be awarded a verified digital certificate by Marc & Zed Training Singapore in collaboration with Marc & Zed SPACES Malaysia