Course Overview

Participants will journey through the landscape of AI, starting with basic concepts and progressing to sophisticated algorithms and models. The course includes case studies, real-world applications, and hands-on projects to ensure a deep understanding of AI and its capabilities.

Course Outcome

• Comprehensive understanding of AI and machine learning concepts.
• Proficiency in AI-related programming (Python, R).
• Ability to design and implement machine learning models.
• Knowledge of neural networks and deep learning techniques.
• Understanding of the ethical considerations in AI.

Course Structure:

• Total Number of Lessons: 108 lessons
• Frequency: 3 Classes per week and 3 hours per class
• Format: Combination of online lectures, practical exercises, project work, and guest seminars

The course concludes with a capstone project where participants apply their AI skills to a real-world problem. Upon successful completion, participants will receive a certificate of completion or earn credits towards professional development. This course is ideal for individuals looking to gain a solid grounding in AI and its applications across various industries.