Course Overview

This course is designed to equip participants with the skills and confidence to excel in the rapidly growing fields of AI and machine learning.

• Basic Module: AI/ML foundations, data preprocessing, and basic algorithms.
• Intermediate Module: Machine learning techniques and model evaluation metrics.
• Advanced Module: Deep learning, NLP, computer vision, reinforcement learning, and project deployment.

Course Outcome

Upon completing the course, participants will:

1. Grasp the fundamentals of AI and ML, including terminologies and use cases.
2. Preprocess and clean datasets for ML model training.
3. Implement supervised and unsupervised algorithms.
4. Design and deploy deep learning models for real-world applications.
5. Leverage AI techniques for domains like NLP and computer vision.