Fundamentals of Applied AI

Issued by Lebanese American University

With the online AI certificate from Lebanese American University, you can add AI skills to your current role in almost any field, including business, e-commerce, healthcare, marketing, or media.

Type Learning
Level Advanced
Time Months
Cost Paid

Additional Details

Skills

Earning Criteria

Mathematics for Applied AI: This course covers the mathematical principles essential for applied artificial intelligence, focusing on both theoretical foundations and practical applications to data problems. Topics include linear algebra, multivariate calculus, optimization, regression, statistics, PCA, and probability, with computational examples throughout.
Programming for Applied AI: This course teaches programming techniques for AI applications using Python. Topics include programming constructs, data structures, classes, APIs, and machine learning algorithms. Students will learn to analyze data, use AI libraries, create visualizations, implement models, and analyze results.
Machine Learning Fundamentals and Applications: This course covers key machine learning techniques and algorithms, including supervised and unsupervised learning, classification, regression, neural networks, deep learning, and reinforcement learning. Students will apply these skills to real-world problems in fields like business, healthcare, and cybersecurity, focusing on practical AI applications such as computer vision, NLP, and speech recognition, rather than theory or mathematics.
Deep Learning and its Applications: This course focuses on deep learning principles and applications. Students will learn to build and use deep neural networks, including feedforward networks, CNNs, RNNs, and transformers. Hands-on applications cover tasks in natural language processing, behavioral analysis, financial analysis, and anomaly detection.