Machine Learning and AI Specialization

Description

The Machine Learning & AI Specialization is a 1336-hours cutting-edge program designed to equip students with both foundational and advanced AI skills. Unlike many programs that only scratch the surface of machine learning, we take a deep, hands-on approach, ensuring students not only understand algorithms but can also build and deploy AI models effectively.

The curriculum covers a broad range of essential topics, including classification, regularization, optimization, error analysis, and deep learning architectures, giving students a strong theoretical foundation while emphasizing real-world applications.
Students go beyond basic model training to explore convolutional neural networks (CNNs), transfer learning, object detection, face verification, and neural style transfer, skills that are critical for computer vision applications. The curriculum also includes recurrent neural networks (RNNs), deep recurrent architectures, natural language processing (NLP), and time series analysis.

Unlike traditional academic programs, Holberton includes training in Pandas, RESTful APIs, MapReduce, SQL and NoSQL databases, and cloud platforms like Google Cloud and Hadoop, enabling graduates to deploy machine learning models at scale—an essential skill in today’s AI-driven businesses.

What roles can you apply for

• Machine Learning Engineer

• Data Scientist

• AI Researcher

• Computer Vision Engineer

• Deep Learning Engineer

• MLOps engineer