The AI/ML course is designed to equip students with a deep understanding of Artificial Intelligence and Machine Learning concepts, algorithms, and applications. Whether you're aiming for a data science role or interested in building intelligent systems, this course provides a hands-on and project-based learning path. Real-time use cases and industry projects will help students build a strong portfolio.
Prerequisites:
Basic understanding of programming (preferably Python)
Knowledge of high school-level mathematics (algebra, probability, and statistics)
Logical thinking and problem-solving mindset
Career Options:
After completion, students can pursue roles such as:
Machine Learning Engineer
AI Developer
Data Scientist
NLP Engineer
Business Intelligence Analyst
Robotics Programmer
Research Assistant in AI
Curriculum:
History and Applications of AI
Difference between AI, ML, and Data Science
Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
