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Build and Use GenAI with Amazon Bedrock (Console Overview)
Faye Ellis
Faye Ellis
Learn how to navigate the Amazon Bedrock console.
Read more
Learn how to navigate the Amazon Bedrock console.
Read more
Learn how to navigate the Amazon Bedrock console.
Amazon Bedrock is the easiest way to build and scale generative AI applications with foundational models. In this overview, Principal AWS Training Architect, Faye Ellis, explains how to navigate the Amazon Bedrock console, including how to create custom models, interact with pre-trained models, and preview costs for purchasing provisioned throughput.
Register for this course and see more details by visiting:
OpenCourser.com/course/ok8qeu/build
What's inside
Syllabus
Build and Use GenAI with Amazon Bedrock (Console Overview)
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Focuses on using Amazon Bedrock console, which is industry-standard for building generative AI models
Taught by Faye Ellis, a Principal AWS Training Architect, which is an industry-recognized certification for Amazon Web Services expertise
Builds core skills for navigating Amazon Bedrock console and interacting with generative AI models
Provides practical knowledge, such as creating custom models and estimating costs of purchasing provisioned throughput, for working with Amazon Bedrock console
Designed for learners interested in using and navigating Amazon Bedrock console for building generative AI models
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Activities
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Build and Use GenAI with Amazon Bedrock (Console Overview).
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Career center
Learners who complete Build and Use GenAI with Amazon Bedrock (Console Overview) will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists gather and analyze large datasets to extract meaningful insights and trends. They use their findings to develop predictive models and solve complex problems. Amazon Bedrock is a powerful tool that can help Data Scientists build and train custom AI models, which can be used to improve the accuracy and efficiency of their work. This course provides an overview of the Amazon Bedrock console, which is essential for any Data Scientist who wants to use this tool.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models. They work closely with Data Scientists to identify the best models for solving specific problems. Amazon Bedrock can help Machine Learning Engineers build and train more efficient and scalable models. This course provides an overview of the Amazon Bedrock console, which is essential for any Machine Learning Engineer who wants to use this tool.
AI Engineer
AI Engineer
AI Engineers design, build, and maintain AI systems. They work on a variety of projects, from developing new AI algorithms to integrating AI into existing products and services. Amazon Bedrock can help AI Engineers build and train custom AI models, which can be used to improve the performance and functionality of their systems. This course provides an overview of the Amazon Bedrock console, which is essential for any AI Engineer who wants to use this tool.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work on a variety of projects, from developing new software applications to integrating software into existing systems. Amazon Bedrock can help Software Engineers build and train AI models that can be integrated into their software systems. This course provides an overview of the Amazon Bedrock console, which is essential for any Software Engineer who wants to use this tool.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to identify trends and patterns. They use their findings to make recommendations and solve problems. Amazon Bedrock can help Data Analysts build and train custom AI models, which can be used to improve the accuracy and efficiency of their work. This course provides an overview of the Amazon Bedrock console, which is essential for any Data Analyst who wants to use this tool.
Business Analyst
Business Analyst
Business Analysts analyze business processes and systems to identify areas for improvement. They work with stakeholders to develop and implement solutions that improve efficiency and effectiveness. Amazon Bedrock can help Business Analysts build and train custom AI models that can be used to automate tasks and improve decision-making. This course provides an overview of the Amazon Bedrock console, which is essential for any Business Analyst who wants to use this tool.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. They work with stakeholders to identify business needs and develop technical solutions that meet those needs. Amazon Bedrock can help Network Engineers build and train custom AI models that can be used to automate tasks and improve network performance. This course provides an overview of the Amazon Bedrock console, which is essential for any Network Engineer who wants to use this tool.
IT Architect
IT Architect
IT Architects design, build, and maintain IT systems. They work with stakeholders to identify business needs and develop technical solutions that meet those needs. Amazon Bedrock can help IT Architects build and train custom AI models that can be used to automate tasks and improve decision-making. This course provides an overview of the Amazon Bedrock console, which is essential for any IT Architect who wants to use this tool.
Systems Engineer
Systems Engineer
Systems Engineers design, build, and maintain computer systems. They work with stakeholders to identify business needs and develop technical solutions that meet those needs. Amazon Bedrock can help Systems Engineers build and train custom AI models that can be used to automate tasks and improve system performance. This course provides an overview of the Amazon Bedrock console, which is essential for any Systems Engineer who wants to use this tool.
Product Manager
Product Manager
Product Managers are responsible for the development and management of products. They work with engineers, designers, and marketers to bring new products to market and improve existing products. Amazon Bedrock can help Product Managers build and train custom AI models that can be used to improve the performance and functionality of their products. This course provides an overview of the Amazon Bedrock console, which is essential for any Product Manager who wants to use this tool.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. They work with database users to ensure that data is secure, available, and performant. Amazon Bedrock can help Database Administrators build and train custom AI models that can be used to automate tasks and improve database performance. This course provides an overview of the Amazon Bedrock console, which is essential for any Database Administrator who wants to use this tool.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and controlling projects. They work with stakeholders to define project goals and objectives, and they develop and implement plans to achieve those goals. Amazon Bedrock can help Project Managers build and train custom AI models that can be used to automate tasks and improve decision-making. This course provides an overview of the Amazon Bedrock console, which is essential for any Project Manager who wants to use this tool.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. They work with data scientists and other stakeholders to ensure that data is available in the right format and at the right time. Amazon Bedrock can help Data Engineers build and train custom AI models that can be used to automate tasks and improve data quality. This course provides an overview of the Amazon Bedrock console, which is essential for any Data Engineer who wants to use this tool.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and maintain cloud computing solutions. They work with stakeholders to identify business needs and develop technical solutions that meet those needs. Amazon Bedrock can help Cloud Architects build and train custom AI models that can be used to automate tasks and improve cloud computing performance. This course provides an overview of the Amazon Bedrock console, which is essential for any Cloud Architect who wants to use this tool.
DevOps Engineer
DevOps Engineer
DevOps Engineers work with developers and operations teams to ensure that software is deployed and maintained efficiently. They use a variety of tools and techniques to automate tasks and improve software quality. Amazon Bedrock can help DevOps Engineers build and train custom AI models that can be used to automate tasks and improve software quality. This course provides an overview of the Amazon Bedrock console, which is essential for any DevOps Engineer who wants to use this tool.
For more career information including salaries, visit:
OpenCourser.com/course/ok8qeu/build
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Build and Use GenAI with Amazon Bedrock (Console Overview).
Comprehensive guide to deep learning using Python. It covers the fundamental concepts, architectures, and algorithms of deep learning, with a focus on hands-on examples and practical implementations.
Save
Comprehensive guide to generative adversarial networks (GANs), a type of generative model that has shown promising results in image and text generation.
Provides a comprehensive overview of generative deep learning, covering topics such as image generation, text generation, and music generation. It discusses both the theoretical and practical aspects of generative AI.
Focuses on using PyTorch for natural language processing tasks. It covers topics such as text preprocessing, word embeddings, language modeling, and machine translation.
Save
Provides a business-oriented perspective on AI, discussing its potential to transform industries and create new opportunities. It offers practical advice on how to implement AI in organizations.
Save
Delves into the use of deep learning techniques for natural language processing tasks, such as language modeling, machine translation, and text classification.
Addresses the ethical considerations surrounding the development and deployment of AI systems. It explores topics such as bias, fairness, privacy, and accountability, providing guidance on how to build ethical AI applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ok8qeu/build
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Time
8 hours
Level
Introductory
Via
Pluralsight
Instructor
Faye Ellis
Language
English
Good to know
Focuses on using Amazon Bedrock console, which is industry-standard for building generative AI models
Taught by Faye Ellis, a Principal AWS Training Architect, which is an industry-recognized certification for Amazon Web Services expertise
Builds core skills for navigating Amazon Bedrock console and interacting with generative AI models
Provides practical knowledge, such as creating custom models and estimating costs of purchasing provisioned throughput, for working with Amazon Bedrock console
Designed for learners interested in using and navigating Amazon Bedrock console for building generative AI models
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