Fundamental of AI and Machine Learning

This course offers a comprehensive exploration of AI and machine learning principles, seamlessly combining theoretical insights with hands-on applications and practical exercises. Through this course, you will not only understand the theoretical underpinnings of AI and machine learning but also gain the ability to effectively apply these concepts in real-world scenarios. This integration of theory and practice empowers you to foster innovation and drive transformative changes within your organization.

Throughout your journey, you will expand your proficiency in AI and ML, encompassing the following key areas:

• Introduction to the concept of Artificial Intelligence (AI)
• Overview of AI’s impact on various industries and technology landscapes
• Basic understanding of Python programming syntax and structure
• Introduction to variables, data types, and basic operations
• Exploration of advanced Python concepts like conditions, loops, and control structures
• Manipulation of variables and data structures in Python
• Deep dive into Python functions, object-oriented programming (OOP), classes, and objects
• Introduction to regression in machine learning
• Understanding the concepts of linear and logistic regression
• Introduction to matrices, vectors, and their applications in machine learning
• Application of AI in various scientific fields
• Understanding key concepts and methodologies in machine learning
• Creating an AI chatbot utilizing the ChatGPT model.
• Learning Fuzzy Logic, Generative AI, AI Ethics, AI with Cyber Security 
• AI Robotics, API integrations and AI Tools