Course Overview

The course on “Artificial Intelligence and Machine Learning” is designed to guide students from foundational concepts through advanced tools and practical applications in three structured parts. Initially, it lays the groundwork with basic AI and ML concepts, exploring types of machine learning, key terminologies, and foundational models like linear regression and neural networks. The second part advances into practical skills with TensorFlow for building and training models, alongside exploring AI tools such as MidJourney and ChatGPT for creative and professional applications. The curriculum culminates in the third part, focusing on customizing pre-trained models, fine-tuning them for specific tasks, and deploying GPT-based AI assistants. Throughout the course, students engage in hands-on activities to reinforce learning, apply concepts in real-world scenarios, and develop proficient skills in managing and deploying AI solutions.