Machine Learning with AI
Course Description:
The Machine Learning with AI course is designed to provide students with an in-depth understanding of how artificial intelligence (AI) and machine learning (ML) technologies work together to build intelligent systems and solve real-world problems. Through a combination of theoretical foundations, practical applications, and hands-on projects, students will gain expertise in designing, training, and deploying machine learning models while understanding how AI accelerates innovation in various industries. The course covers key ML algorithms, AI tools, deep learning, natural language processing (NLP), and ethical considerations, equipping students with the skills to implement AI-driven solutions across multiple domains.
Course Objectives:
- Understand the fundamental principles of machine learning and artificial intelligence.
- Learn how to use various machine learning algorithms, including supervised and unsupervised learning techniques.
- Gain hands-on experience in building and deploying machine learning models using popular AI tools and frameworks.
- Develop a strong understanding of deep learning, neural networks, and their applications in complex tasks like image recognition and NLP.
- Understand the importance of data preprocessing, feature engineering, and model evaluation.
- Explore AI ethics, data privacy, and real-world challenges in implementing AI solutions.