TensorFlow on Google Cloud
Earned Mar 15, 2024 EDT
Launching into Machine Learning
Earned Mar 5, 2024 EST
Introduction to AI and Machine Learning on Google Cloud
Earned Feb 20, 2024 EST
Generative AI Fundamentals
Earned Feb 15, 2024 EST
Introduction to Responsible AI
Earned Feb 15, 2024 EST
Introduction to Large Language Models
Earned Feb 15, 2024 EST
Introduction to Generative AI
Earned Feb 15, 2024 EST
Classify Images with TensorFlow on Google Cloud
Earned Feb 15, 2024 EST
This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.
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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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Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. By passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles.
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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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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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Earn the intermediate skill badge by completing the Classify Images with TensorFlow on Google Cloud course where you will learn how to use TensorFlow and Vertex AI to create and train machine learning models. You will primarily interact with Vertex AI Workbench user-managed notebooks. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
TensorFlow on Google Cloud
Earned Mar 15, 2024 EDT
Launching into Machine Learning
Earned Mar 5, 2024 EST
Introduction to AI and Machine Learning on Google Cloud
Earned Feb 20, 2024 EST
Generative AI Fundamentals
Earned Feb 15, 2024 EST
Introduction to Responsible AI
Earned Feb 15, 2024 EST
Introduction to Large Language Models
Earned Feb 15, 2024 EST
Introduction to Generative AI
Earned Feb 15, 2024 EST
Classify Images with TensorFlow on Google Cloud
Earned Feb 15, 2024 EST