AWS Skill Builder

352 Courses

AWS Skill Builder

Optimizing Foundation Models (Simplified Chinese)

优化基础模型 (简体中文) 在本课程中，您将探索两种可提高基础模型 (FM) 性能的技术：检索增强生成 (RAG) 和微调。您将了解有助于使用向量数据库存储嵌入的 Amazon Web Services (AWS) 服务、代理在多步骤任务中的作用、定义微调 FM 的方法以及如何准备用于微调的数据等等。课程级别：基础级时长：1 小时本课程包含互动元素、文字说明、配文图表和知识考核。在本课.

AWS Skill Builder

Data Engineering on AWS - Foundations

Data Engineering on AWS - Foundations In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for conti.

AWS Skill Builder

AWS ML Engineer Associate 2.1 Choose a Modeling Approach

AWS ML Engineer Associate 2.1 Choose a Modeling Approach Explore the AWS ML stack layers and learn how to solve common business challenges with AWS services. This course explores how to use Amazon SageMaker for machine learning tasks and how to review strategies for selecting appropriate models. Additionally, this course highlig.

AWS Skill Builder

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.

AWS Skill Builder

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.

AWS Skill Builder

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.

AWS Skill Builder

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.

AWS Skill Builder

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.

AWS Skill Builder

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.

AWS Skill Builder

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.

1 ... 22 23 24 25 26 ... 36

The Rise of Online Universities Courses in AI Education

Online university courses have revolutionized the way students access education, making it more accessible and affordable. With just a few clicks, students can enroll in top universities courses from anywhere in the world, eliminating the barriers of time and location. This flexibility has made AI education more inclusive and diverse, attracting students from different backgrounds and cultures.

Empowering Students with Cutting-Edge AI Programs

One of the best ways to kickstart a career in artificial intelligence is by enrolling in an online course for students. These programs are designed to provide a comprehensive overview of AI concepts, ranging from machine learning to neural networks and natural language processing. Students are equipped with the skills and knowledge needed to thrive in a competitive job market, where AI professionals are in high demand.

The Role of Universities in Shaping the Future of AI

Universities play a crucial role in advancing AI education by offering specialized courses and degree programs in artificial intelligence. From universities AI courses to artificial intelligence uni programs, students have a wide array of options to choose from based on their interests and career goals. Leading institutions are at the forefront of research and innovation, ensuring that students receive a top-notch education that prepares them for success in the field.

Choosing the Right Path: Best Colleges for Artificial Intelligence

When it comes to pursuing a career in artificial intelligence, choosing the right educational institution is key. The best colleges for artificial intelligence are known for their cutting-edge research, world-class faculty, and state-of-the-art facilities. Whether you're interested in pursuing an artificial intelligence course at a university or an AI education firm, it's essential to select a program that aligns with your aspirations and aspirations.

In conclusion, the field of artificial intelligence is rapidly evolving, and staying ahead of the curve requires continuous learning and skill development. With the proliferation of online university courses and specialized AI programs, students have unprecedented opportunities to explore the vast potential of AI education. By harnessing the power of technology and innovation, the future of AI education with AI Eeducation college courses looks brighter than ever before.

With the development of artificial intelligence technologies, online courses are becoming increasingly popular among students and professionals. These courses offer a unique opportunity to learn advanced AI technologies and techniques from the comfort of your home. The development of online education in the field of artificial intelligence pays increased attention to practical skills and the application of knowledge in real projects.

Pluses of online education in AI

Flexibility: Students can study materials at a time that suits them, adapting their study schedule to their needs.

Accessibility: Courses are available on various platforms and to students from different countries, promoting global integration and knowledge sharing.

Relevance: Online courses on artificial intelligence are updated with the latest trends and advances in this field, providing students with up-to-date information.

With the development of artificial intelligence technologies, online education will play an increasingly important role in training specialists in this field. The opportunity to learn advanced technologies and methods, exchange experiences with colleagues from around the world and participate in real-life projects will make online learning in the field of AI an integral part of the education of the future!