This course provides a comprehensive, hands-on introduction to machine learning on the Google Cloud Platform, with a specific focus on Vertex AI. Students will learn about various GCP services, including compute, storage, and databases, before diving into machine learning workflows. The curriculum covers building and deploying models using GCP's AutoML for tabular, image, and text data, as well as custom model training and deployment on the AI Platform and Vertex AI. The course is designed to equip learners with the practical skills needed to create and manage machine learning pipelines on Google Cloud.
Structured path covering Python, ML fundamentals, and deep learning basics for aspiring AI practitioners.
From tokenization to transformers. Build production NLP systems for text classification, named entity recognition, sentiment analysis, and question answering.
Your first steps into machine learning. Understand supervised and unsupervised learning, train your first models, and build intuition for how algorithms learn from data.
Build on your existing knowledge with intermediate machine learning techniques and real-world applications.
Master advanced machine learning concepts with expert-level content and cutting-edge techniques.
Start your journey into tensorflow with foundational concepts and hands-on exercises designed for newcomers.
Build on your existing knowledge with intermediate tensorflow techniques and real-world applications.
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