IBM AI Engineering Professional Certificate

Mastering Gen AI: LLM Architecture & Data Preparation

This course provides practical competencies in generative artificial intelligence, large language models, and natural language processing data management, all underpinned by a credential esteemed within the industry.

The Nuts and Bolts of ML

Learn to distinguish between different types of machine learning, prepare data for model development, build and evaluate Python-based models for both supervised and unsupervised learning, and choose the right model and metric for a given algorithm.

ML in Mathematics: Multivariate Calculus

This course offers a concise summary of essential multivariate calculus for machine learning, including practical tools, vector calculations, function approximation, and neural network applications, to build confidence for advanced studies.

Linear Algebra in ML & Data Science

Apply linear algebra concepts like linear independence, rank, singularity, eigenvalues, and eigenvectors to analyze data and solve machine learning problems using standard vector and matrix operations.

Applied Data Science Specialization

Learn Python, analyze and visualize data, and apply your skills to data science and machine learning with a practical assignment to acquire hands-on skills for a career in data science.