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Build and Use GenAI with Amazon Bedrock (Console Overview)

Faye Ellis

Learn how to navigate the Amazon Bedrock console.

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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.

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What's inside

Syllabus

Build and Use GenAI with Amazon Bedrock (Console Overview)

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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build and Use GenAI with Amazon Bedrock (Console Overview) with these activities:
Review Foundational AI Concepts
Brush up on your understanding of core AI principles to lay a solid foundation for the course content.
Browse courses on Amazon Bedrock
Show steps
  • Revisit introductory materials on generative AI, machine learning, and deep learning.
  • Practice solving beginner-level exercises or coding challenges.
  • Attend workshops or online seminars to refresh core concepts.
Review the provided Amazon Bedrock documentation
Familiarize yourself with the Amazon Bedrock documentation to enhance your understanding of its features and capabilities, which will be essential for navigating the console effectively.
Show steps
  • Access the Amazon Bedrock documentation
  • Go through the introductory sections
  • Review the sections relevant to console navigation
Explore Amazon Bedrock Documentation
Enhance your understanding of the Amazon Bedrock console by following guided tutorials and exploring documentation.
Browse courses on Amazon Bedrock
Show steps
  • Go through the official Amazon Bedrock documentation and tutorials.
  • Complete hands-on exercises provided in the documentation.
  • Search for and utilize additional resources and tutorials online.
15 other activities
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Engage in peer discussion forums on Amazon Bedrock console navigation
Join discussions with peers to exchange knowledge, clarify concepts, and learn from different perspectives, enhancing your understanding of Amazon Bedrock console navigation.
Show steps
  • Identify relevant discussion forums
  • Participate in discussions by asking questions
  • Respond to questions and share your knowledge
  • Follow threads and engage with other participants
Dive Deep into Amazon Bedrock Console
Practice navigating the Amazon Bedrock console to lay a strong foundation for subsequent course modules.
Browse courses on Amazon Bedrock
Show steps
  • Access the Amazon Bedrock console.
  • Explore the console layout and familiarize yourself with the various sections.
  • Create a custom model and configure its settings.
  • Interact with a pre-trained model and explore its capabilities.
  • Estimate costs for provisioned throughput and plan your model usage accordingly.
Follow guided tutorials on Amazon Bedrock console navigation
Participate in guided tutorials to gain hands-on experience in navigating the Amazon Bedrock console, reinforcing your understanding of its functionalities.
Show steps
  • Identify relevant tutorials on Amazon Bedrock console navigation
  • Follow the instructions provided in the tutorials
  • Complete the exercises or tasks included in the tutorials
Create and Preview Models on Amazon Bedrock
Solidify your hands-on skills by creating and previewing models within the Amazon Bedrock console.
Browse courses on Model Creation
Show steps
  • Follow the steps outlined in the course materials to create a new model.
  • Configure model settings and provide necessary input.
  • Preview the model's output and evaluate its performance.
  • Iterate on model parameters and observe the impact on preview results.
Amazon Bedrock Console Exercises
Reinforce your knowledge of the Amazon Bedrock console through hands-on exercises.
Browse courses on Amazon Bedrock
Show steps
  • Follow the provided instructions to complete tasks within the console.
  • Trouble-shoot any errors or issues that arise during the exercises.
  • Time yourself to track your progress and identify areas for improvement.
  • Review your solutions and reflect on your understanding of the console.
Attend an Amazon Bedrock Workshop
Enhance your knowledge and skills by attending a workshop specifically focused on Amazon Bedrock.
Browse courses on Amazon Bedrock
Show steps
  • Research and identify upcoming Amazon Bedrock workshops.
  • Register for a workshop that aligns with your learning goals.
  • Attend the workshop and actively participate in the sessions.
  • Follow up after the workshop by reviewing materials and practicing what you learned.
Practice navigating the Amazon Bedrock console
Engage in practice drills to refine your skills in navigating the Amazon Bedrock console, improving your proficiency and reducing the likelihood of errors.
Show steps
  • Create a new Amazon Bedrock account
  • Set up a new project and environment
  • Navigate through different sections of the console
  • Experiment with creating and managing custom models
  • Practice interacting with pre-trained models
Write a Blog Post or Article on Amazon Bedrock
Share your understanding by creating a blog post or article that explains concepts or provides tutorials on Amazon Bedrock.
Browse courses on Amazon Bedrock
Show steps
  • Choose a specific topic within Amazon Bedrock that you want to write about.
  • Research and gather information from reliable sources.
  • Organize your content in a logical and engaging manner.
  • Write clear and concise prose, using examples and visuals to illustrate your points.
Create a resource compilation on Amazon Bedrock console navigation best practices
Assemble a collection of resources, including tutorials, documentation, and articles, on best practices for navigating the Amazon Bedrock console, providing a valuable reference for future use.
Show steps
  • Identify and gather relevant resources
  • Organize and categorize the resources
  • Create a central repository for the resources
  • Share the resource compilation with peers or the broader community
Develop an Amazon Bedrock Tutorial
Solidify your understanding by creating a step-by-step guide that explains how to use the Amazon Bedrock console effectively.
Browse courses on Amazon Bedrock
Show steps
  • Identify the key features and functionalities of the Amazon Bedrock console.
  • Organize your content into logical sections and subsections.
  • Write clear and concise instructions, using screenshots or diagrams to illustrate the steps.
  • Proofread your tutorial carefully for accuracy and clarity.
  • Share your tutorial with others to receive feedback and refine your work.
Hands-on Lab: Build and Use GenAI with Amazon Bedrock
Gain hands-on experience with Amazon Bedrock by building and using your own generative AI applications.
Browse courses on Amazon Bedrock
Show steps
  • Follow the steps in the AWS documentation to set up your Amazon Bedrock environment.
  • Create a new Amazon Bedrock model.
  • Train your model on a dataset of your choice.
  • Deploy your model and use it to generate text, images, or code.
Develop a Proof-of-Concept Application
Apply your knowledge by building a prototype or proof-of-concept application that leverages Amazon Bedrock.
Show steps
  • Identify a problem or use case that aligns with the capabilities of Amazon Bedrock.
  • Design the application architecture and define the necessary components.
  • Develop the application code and integrate it with Amazon Bedrock services.
  • Test and evaluate the application's functionality and performance.
Build a small project using the Amazon Bedrock console
Embark on a project that involves building a small application or prototype using the Amazon Bedrock console, putting your skills to the test and solidifying your understanding.
Show steps
  • Define the scope and requirements of your project
  • Create a new Amazon Bedrock project for your app
  • Develop your app using the Amazon Bedrock console
  • Test and refine your app
  • Deploy your app to the cloud
Attend a workshop on advanced Amazon Bedrock console navigation techniques
Enroll in a workshop conducted by experts to acquire advanced techniques and strategies for navigating the Amazon Bedrock console, expanding your skillset and gaining valuable insights.
Show steps
  • Research and identify relevant workshops
  • Register for a suitable workshop
  • Attend the workshop and actively participate
  • Take notes and ask questions
  • Follow up with the organizers or instructors
Create a presentation or documentation on Amazon Bedrock console navigation
Produce a presentation or documentation that showcases your understanding of Amazon Bedrock console navigation, helping you retain information and communicate your knowledge effectively.
Show steps
  • Choose a presentation or documentation format
  • Gather information and organize your content
  • Develop your presentation or documentation
  • Edit and refine your work
  • Share your presentation or documentation

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 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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Machine Learning 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.
See salaries and explore the career path for AI 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.
See salaries and explore the career path for Software Engineer
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.
See salaries and explore the career path for Data 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.
See salaries and explore the career path for Business Analyst
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.
See salaries and explore the career path for Network Engineer
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.
See salaries and explore the career path for IT Architect
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.
See salaries and explore the career path for Systems Engineer
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.
See salaries and explore the career path for Product Manager
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.
See salaries and explore the career path for Database Administrator
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.
See salaries and explore the career path for Project Manager
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.
See salaries and explore the career path for Data Engineer
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.
See salaries and explore the career path for Cloud Architect
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.
See salaries and explore the career path for DevOps Engineer

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).
Cover image
Deep Learning with Python, Second Edition
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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.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$
Cover image
Deep Learning
Save
Comprehensive guide to generative adversarial networks (GANs), a type of generative model that has shown promising results in image and text generation.
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Generative Deep Learning
Save
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.
Generative Deep Learning: Teaching Machines To...
Paperback
$$$
Generative Deep Learning: Teaching Machines to...
Paperback
$$$$
Generative Deep Learning: Teaching Machines To...
Hardcover
$$$$
(Français) Deep learning génératif
Paperback
$$$
(Deutsch) Generatives Deep Learning: Maschinen das Malen,...
Kindle Edition
$$
(中文) Generative deep learning(Chinese Edition)
Paperback
$$
Cover image
Natural Language Processing with PyTorch
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Focuses on using PyTorch for natural language processing tasks. It covers topics such as text preprocessing, word embeddings, language modeling, and machine translation.
Natural Language Processing with PyTorch: Build...
Paperback
$$$
(Deutsch) Natural Language Processing mit PyTorch:...
Kindle Edition
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(中文) Based on natural language processing...
Paperback
$$
Cover image
The AI Advantage
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.
The AI Advantage
Paperback
Check
The AI Advantage
Kindle Edition
Check
Cover image
Text Mining
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Delves into the use of deep learning techniques for natural language processing tasks, such as language modeling, machine translation, and text classification.
Text Mining: Predictive Methods for Analyzing...
Hardcover
$$$$
Text Mining: Predictive Methods for Analyzing...
Kindle Edition
$$$$
Cover image
Narrative and Technology Ethics
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Addresses the ethical considerations surrounding the development and deployment of AI systems. It explores topics such as bias, fairness, privacy, and accountability, providing guidance on how to build ethical AI applications.
Narrative and Technology Ethics
Hardcover
$$$$

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Course image
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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