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Robert Alexandru Dobre

Member since 2023

Silver League

5685 points
Badge for Introduction to AI and Machine Learning on Google Cloud Introduction to AI and Machine Learning on Google Cloud Earned Sep 22, 2023 EDT
Badge for Build, Train and Deploy ML Models with Keras on Google Cloud Build, Train and Deploy ML Models with Keras on Google Cloud Earned Sep 21, 2023 EDT
Badge for Launching into Machine Learning Launching into Machine Learning Earned Sep 12, 2023 EDT
Badge for How Google Does Machine Learning How Google Does Machine Learning Earned Sep 8, 2023 EDT
Badge for Google Cloud Big Data and Machine Learning Fundamentals Google Cloud Big Data and Machine Learning Fundamentals Earned Aug 28, 2023 EDT
Badge for Generative AI Fundamentals Generative AI Fundamentals Earned Aug 25, 2023 EDT
Badge for Introduction to Responsible AI Introduction to Responsible AI Earned Aug 25, 2023 EDT
Badge for Introduction to Large Language Models Introduction to Large Language Models Earned Aug 25, 2023 EDT
Badge for Introduction to Generative AI Introduction to Generative AI Earned Aug 23, 2023 EDT

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 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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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 explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models. The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.

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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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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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