Introduction to Vertex Forecasting and Time Series in Practice
Earned jan. 24, 2024 EST
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned nov. 2, 2023 EDT
Introduction to Large Language Models
Earned nov. 2, 2023 EDT
Launching into Machine Learning
Earned oct. 28, 2023 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned oct. 14, 2023 EDT
Introduction to Generative AI
Earned sept. 29, 2023 EDT
Cloud Hero Infra Skills
Earned sept. 25, 2023 EDT
This course is an introduction to building forecasting solutions with Google Cloud. You start with sequence models and time series foundations. You then walk through an end-to-end workflow: from data preparation to model development and deployment with Vertex AI. Finally, you learn the lessons and tips from a retail use case and apply the knowledge by building your own forecasting models.
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This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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Get hands-on practice with Google Cloud! You will compete with your peers to see who can finish this game with the most points. Speed and accuracy will be used to calculate your scores — earn points by completing the labs accurately and bonus points for speed! Be sure to click “End” where you’re done with each lab to be rewarded your points.
Introduction to Vertex Forecasting and Time Series in Practice
Earned jan. 24, 2024 EST
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned nov. 2, 2023 EDT
Introduction to Large Language Models
Earned nov. 2, 2023 EDT
Launching into Machine Learning
Earned oct. 28, 2023 EDT
Introduction to AI and Machine Learning on Google Cloud
Earned oct. 14, 2023 EDT
Introduction to Generative AI
Earned sept. 29, 2023 EDT
Cloud Hero Infra Skills
Earned sept. 25, 2023 EDT