Responsible AI: Applying AI Principles with Google Cloud - Bahasa Indonesia
Earned Feb 2, 2024 EST
Generative AI Fundamentals - Bahasa Indonesia
Earned Jan 31, 2024 EST
Introduction to Responsible AI - Bahasa Indonesia
Earned Jan 31, 2024 EST
Introduction to Large Language Models - Bahasa Indonesia
Earned Jan 31, 2024 EST
Introduction to Generative AI - Bahasa Indonesia
Earned Jan 30, 2024 EST
Production Machine Learning Systems
Earned Jan 23, 2024 EST
Machine Learning in the Enterprise
Earned Jan 21, 2024 EST
Feature Engineering
Earned Jan 21, 2024 EST
TensorFlow on Google Cloud
Earned Jan 21, 2024 EST
Launching into Machine Learning
Earned Jan 19, 2024 EST
Introduction to AI and Machine Learning on Google Cloud
Earned Jan 14, 2024 EST
Seiring semakin meningkatnya penggunaan Kecerdasan Buatan dan Machine Learning di kalangan perusahaan, proses membangunnya secara bertanggung jawab juga menjadi semakin penting. Membicarakan responsible AI mungkin lebih mudah bagi banyak orang daripada mempraktikkannya. Jika Anda tertarik untuk mempelajari cara mengoperasionalkan responsible AI dalam organisasi Anda, kursus ini cocok untuk Anda.
Dalam kursus ini, Anda akan mempelajari bagaimana Google Cloud mengoperasionalkan responsible AI, dengan praktik terbaik dan pelajaran yang dapat dipetik. Hal ini berguna sebagai framework bagi Anda untuk membangun pendekatan responsible AI.
Pelajari lebih lanjut
Dapatkan badge keahlian dengan menyelesaikan kursus Introduction to Generative AI, Introduction to Large Language Models, dan Introduction to Responsible AI. Dengan berhasil menyelesaikan kuis akhir, Anda membuktikan pemahaman Anda tentang konsep dasar AI generatif.
Badge keahlian adalah badge digital yang diberikan oleh Google Cloud sebagai pengakuan atas pengetahuan Anda tentang produk dan layanan Google Cloud. Pamerkan badge keahlian Anda dengan menampilkan profil Anda kepada publik dan menambahkannya ke profil media sosial Anda.
Pelajari lebih lanjut
Ini adalah kursus pengantar pembelajaran mikro yang dimaksudkan untuk menjelaskan responsible AI, alasan pentingnya responsible AI, dan cara Google mengimplementasikan responsible AI dalam produknya. Kursus ini juga memperkenalkan 7 prinsip AI Google.
Pelajari lebih lanjut
Ini adalah kursus pengantar pembelajaran mikro yang membahas definisi model bahasa besar (LLM), kasus penggunaannya, dan cara menggunakan prompt tuning untuk meningkatkan performa LLM. Kursus ini juga membahas beberapa alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.
Pelajari lebih lanjut
Ini adalah kursus pengantar pembelajaran mikro yang bertujuan untuk mendefinisikan AI Generatif, cara penggunaannya, dan perbedaannya dari metode machine learning konvensional. Kursus ini juga mencakup Alat-alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.
Pelajari lebih lanjut
This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.
This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.
Pelajari lebih lanjut
This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing.
The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.
Pelajari lebih lanjut
This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
Pelajari lebih lanjut
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.
Pelajari lebih lanjut
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.
Pelajari lebih lanjut
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.
Responsible AI: Applying AI Principles with Google Cloud - Bahasa Indonesia
Earned Feb 2, 2024 EST
Generative AI Fundamentals - Bahasa Indonesia
Earned Jan 31, 2024 EST
Introduction to Responsible AI - Bahasa Indonesia
Earned Jan 31, 2024 EST
Introduction to Large Language Models - Bahasa Indonesia
Earned Jan 31, 2024 EST
Introduction to Generative AI - Bahasa Indonesia
Earned Jan 30, 2024 EST
Production Machine Learning Systems
Earned Jan 23, 2024 EST
Machine Learning in the Enterprise
Earned Jan 21, 2024 EST
Feature Engineering
Earned Jan 21, 2024 EST
TensorFlow on Google Cloud
Earned Jan 21, 2024 EST
Launching into Machine Learning
Earned Jan 19, 2024 EST
Introduction to AI and Machine Learning on Google Cloud
Earned Jan 14, 2024 EST