Short Description:
Description:
This course provides an in-depth exploration of Artificial Intelligence (AI) and Machine Learning (ML), offering learners the knowledge and skills to build, train, and deploy intelligent systems. Whether you are a beginner or an experienced professional looking to upskill, this course caters to a wide range of learners, providing a blend of theoretical concepts and hands-on practical applications.
Objectives:
Understand the fundamental concepts of Artificial Intelligence and Machine Learning.
Gain proficiency in data preprocessing, feature engineering, and data visualization.
Learn supervised, unsupervised, and reinforcement learning techniques.
Explore advanced topics like neural networks, deep learning, NLP, and computer vision.
Build, train, and evaluate machine learning models using popular frameworks like TensorFlow and Scikit-learn.
Implement AI solutions in real-world projects such as recommendation systems, sentiment analysis, and image classification.
Develop ethical and explainable AI systems while understanding the societal impact of AI.
