AWS Skill Builder
479 Cursussen
Developing Generative Artificial Intelligence Solutions
Developing Generative Artificial Intelligence Solutions
In this course, you will explore the generative artificial intelligence (generative AI) application lifecycle, which includes the following:
Defining a business use case
Selecting a foundation model (FM)
Improving the performance of an FM
Evaluating the performa.
Responsible Artificial Intelligence Practices
Responsible Artificial Intelligence Practices
In this course, you will learn about responsible AI practices. First, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempts to overcome, and explore the core dimensions of responsible AI.
Then, you will dive.
Exploring Artificial Intelligence Use Cases and Applications
Exploring Artificial Intelligence Use Cases and Applications
In this course, you will explore real-world artificial intelligence (AI), machine learning (ML), and generative artificial intelligence (generative AI) use cases across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn.
Fundamentals of Machine Learning and Artificial Intelligence
Fundamentals of Machine Learning and Artificial Intelligence
In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI). You will gain a solid understanding.
Optimizing Foundation Models
In this course, you will explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) and fine-tuning. You will learn about Amazon Web Services (AWS) services that help store embeddings with vector databases, the role of agents in multi-step tasks, define methods for fine-tuning an FM, how t.
Essentials of Prompt Engineering
Essentials of Prompt Engineering
In this course, you will be introduced to the fundamentals of crafting effective prompts. You will gain an understanding of how to refine and optimize prompts for a range of use cases. You will also explore techniques like zero-shot, few-shot, and chain-of-thought prompting. Finally, you will le.
Developing Machine Learning Solutions
Developing Machine Learning Solutions
In this machine learning course, you will learn about the machine learning lifecycle, and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machi.
Security, Compliance, and Governance for AI Solutions
Security, Compliance, and Governance for AI Solutions
This course helps you understand some common issues around security, compliance, and governance associated with artificial intelligence (AI) solutions. You will learn how to recognize governance and compliance requirements for AI systems. You will also learn about various Amazon Web Services (A.
Computer Vision with GluonCV (German)
In diesem Kurs erhalten Sie ein nützliches Verständnis der Komponenten eines konvolutionalen neuronalen Netzwerks (Convolutional Neural Network – CNN) wie Konvolutionen und Pooling-Ebenen usw. In diesem Kurs zeigen Alex Smola und Tong He, wie man einige Computer-Vision-Techniken mit GluonCV, einem Computer-Vision-Toolkit, implementiert.
Hinweis.
Exploring the Machine Learning Toolset (Traditional Chinese)
無論您是否具備相關背景或經歷,都能使用機器學習。在本課程中,我們也將向您介紹一些可用於建置模型,以及增加應用程式智慧的 AWS 機器學習服務。
注意:本課程具有本地化的註釋/字幕。旁白保留英語。
要顯示字幕,請按一下播放器右下角的 CC 按鈕。
University: University Provider: AWS Skill Builder Categories: Machine Learning Courses
Why Analytics for Games (Korean)
Why Analytics for Games (Korean)
과정 설명이 과정에서는 게임 사용 사례에서 분석을 사용하는 방법에 대해 설명합니다. 학습자는 분석의 장점과 인사이트를 사용하여 게임 설계를 개선하고, 게임 운영의 효율을 높이고, 재무 및 전략적 결정에 도움을 얻는 방법에 대해 배웁니다. 비즈니스 인텔리전스에 사용하는 다양한 원본과 게임 데이터 유형, 분석 파이프라인을 사.
Why Analytics for Games (Spanish)
Por Qué la Analítica para Juegos (Español)
Descripción del curso
Este curso aborda el uso de análisis para casos de uso relacionados con videojuegos. Los estudiantes descubrirán los beneficios que conlleva realizar análisis y cómo puede utilizarse la información para mejorar el diseño de un juego, la eficiencia de las operaciones del videojuego.