A comprehensive introduction to the field of Artificial Intelligence (AI), focusing on both the theoretical foundations and practical applications of AI technologies.
Learning Objectives:
Students will explore key concepts such as machine learning, neural networks, natural language processing, and computer vision. The course covers the development and implementation of AI algorithms, the ethical considerations surrounding AI, and the real-world applications of AI across various industries. By engaging in hands-on projects and case studies, students will gain practical experience in designing and deploying AI solutions, preparing them to address complex problems and contribute to advancements in the field.
Prerequisites:
- Basic Programming Skills
- Mathematics
- Foundational Statistics
- Data Handling and Analysis
- Basic Understanding of Machine Learning
- Analytical Thinking
Materials Needed:
- Computer with internet access.
- Headphones.
Key Outcome:
By the end of the course, students will have developed the skills needed to analyze and interpret data, build and deploy AI models, and effectively communicate their results. They will be equipped to tackle complex AI problems and contribute to innovations in various domains such as healthcare, finance, and autonomous systems.
Assessment:
Assessment will be based on completion of projects, participation in class activities, and a final project showcase.
Certification: Certificate of completion provided upon finishing the course requirements.
Course Duration: 32 credit hours – 4 months
Days & Timings: One-Hour Interactive Class, Twice a Week (Flexible Timings)
Course Format: Normal Track – 2 hours per week, Fast Track – 4 hours per week
Eligible Age Group: 14 and above
Fee: Monthly – USD 120 | Full Course – USD 400
Instructor: