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Amazon Bedrock is a fully managed service that makes foundation models (FMs) from Amazon and leading artificial intelligence (AI) startups available through an API. In this course, you will learn the benefits of Amazon Bedrock. You will learn how to start using the service through a demonstration in the Amazon Bedrock console. You will also learn about the AI concepts of Amazon Bedrock and how you can use the service to accelerate development of generative AI applications.
Register for this course and see more details by visiting:
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What's inside
Syllabus
Amazon Bedrock
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches skills and knowledge that are useful for personal growth and development
Teaches skills, knowledge, and/or tools that are highly relevant in an academic setting
Taught by AWS Instructor, who are recognized for their work in the topic that the course teaches
Develops skills and knowledge whose use may be against the law in certain jursidictions
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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 Amazon Bedrock - Getting Started with Generative AI with these
activities:
Seek guidance from experts in the field of machine learning
Show steps
Connect with experienced professionals to gain insights, advice, and support in machine learning.
Browse courses on
Machine Learning
Show steps
-
Identify potential mentors through professional networking platforms or industry events.
-
Reach out to mentors and schedule informational interviews or mentorship sessions to discuss career goals and seek guidance.
Follow tutorials on Amazon Bedrock fundamentals
Show steps
Supplement course material with tutorials to strengthen foundational understanding of Amazon Bedrock.
Browse courses on
Amazon Bedrock
Show steps
-
Search for online tutorials or documentation provided by Amazon Web Services on Amazon Bedrock.
-
Follow the tutorials step-by-step, experimenting with the code examples.
-
Review the concepts and techniques covered in the tutorials.
Explore Amazon Bedrock documentation
Show steps
Familiarize yourself with the concepts and usage of Amazon Bedrock by reviewing its documentation.
Show steps
-
Visit the Amazon Bedrock documentation page
-
Read through the introductory and getting started sections
-
Explore the API reference and examples
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Form a study group with classmates to discuss Amazon Bedrock concepts
Show steps
Engage in peer-to-peer learning to enhance understanding, discuss different perspectives, and clarify concepts.
Browse courses on
Amazon Bedrock
Show steps
-
Identify a group of classmates who are interested in forming a study group.
-
Set up regular meeting times and establish a communication channel for the group.
-
Discuss Amazon Bedrock concepts, share resources, and work together to solve problems.
Solve LeetCode problems on matrix operations
Show steps
Practice matrix operations through LeetCode problems to improve coding skills and problem-solving abilities.
Browse courses on
Matrix Operations
Show steps
-
Select a set of LeetCode problems focused on matrix operations.
-
Solve the problems, focusing on optimizing the time and space complexity of the solutions.
-
Review solutions and discuss with peers or mentors to enhance understanding.
Organize and review course notes, assignments, and resources
Show steps
Reinforce understanding by整理ing andactively reviewing course materials on a regular basis.
Show steps
-
Create a system for organizing notes, assignments, and other course materials.
-
Regularly review the organized materials to refresh memory and reinforce concepts.
Practice using the Amazon Bedrock API
Show steps
Gain hands-on experience with Amazon Bedrock by practicing using its API.
Show steps
-
Set up an Amazon Bedrock account and API keys
-
Write code to send API requests to Amazon Bedrock
-
Test your code with different parameters and inputs
Build a simple image classification model using Amazon Bedrock
Show steps
Apply Amazon Bedrock to a practical project, enhancing hands-on experience and understanding of its capabilities.
Browse courses on
Image Classification
Show steps
-
Gather a dataset of images for image classification.
-
Choose an appropriate model from Amazon Bedrock for image classification.
-
Train the model using the provided dataset, experimenting with different hyperparameters.
-
Evaluate the performance of the trained model using metrics such as accuracy and F1-score.
Attend a workshop on advanced applications of Amazon Bedrock
Show steps
Gain deeper insights and practical skills by attending workshops focused on advanced applications of Amazon Bedrock.
Browse courses on
Amazon Bedrock
Show steps
-
Research and identify workshops on Amazon Bedrock offered by industry experts or organizations.
-
Register and actively participate in the workshop, taking notes and asking questions.
-
Implement the techniques and knowledge gained from the workshop into personal projects or assignments.
Build an Amazon Bedrock application
Show steps
Deepen your understanding of Amazon Bedrock by building an end-to-end application that leverages its capabilities.
Show steps
-
Identify a use case or problem that can be solved with Amazon Bedrock
-
Design and implement the application architecture
-
Deploy and test the application
Write a blog post or article on Amazon Bedrock for beginners
Show steps
Consolidate learning by creating a resource to explain Amazon Bedrock to others, reinforcing understanding.
Browse courses on
Amazon Bedrock
Show steps
-
Research Amazon Bedrock and its key features and benefits.
-
Outline the content, including sections on what Amazon Bedrock is, how it works, and its applications.
-
Write the blog post or article, ensuring clear and concise explanations.
-
Proofread and edit the content for clarity and accuracy.
Seek guidance from experts in the field of machine learning
Show steps
Connect with experienced professionals to gain insights, advice, and support in machine learning.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify potential mentors through professional networking platforms or industry events.
- Reach out to mentors and schedule informational interviews or mentorship sessions to discuss career goals and seek guidance.
Follow tutorials on Amazon Bedrock fundamentals
Show steps
Supplement course material with tutorials to strengthen foundational understanding of Amazon Bedrock.
Browse courses on
Amazon Bedrock
Show steps
Show steps
Show steps
- Search for online tutorials or documentation provided by Amazon Web Services on Amazon Bedrock.
- Follow the tutorials step-by-step, experimenting with the code examples.
- Review the concepts and techniques covered in the tutorials.
Explore Amazon Bedrock documentation
Show steps
Familiarize yourself with the concepts and usage of Amazon Bedrock by reviewing its documentation.
Show steps
Show steps
Show steps
- Visit the Amazon Bedrock documentation page
- Read through the introductory and getting started sections
- Explore the API reference and examples
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Form a study group with classmates to discuss Amazon Bedrock concepts
Show steps
Engage in peer-to-peer learning to enhance understanding, discuss different perspectives, and clarify concepts.
Browse courses on
Amazon Bedrock
Show steps
Show steps
Show steps
- Identify a group of classmates who are interested in forming a study group.
- Set up regular meeting times and establish a communication channel for the group.
- Discuss Amazon Bedrock concepts, share resources, and work together to solve problems.
Solve LeetCode problems on matrix operations
Show steps
Practice matrix operations through LeetCode problems to improve coding skills and problem-solving abilities.
Browse courses on
Matrix Operations
Show steps
Show steps
Show steps
- Select a set of LeetCode problems focused on matrix operations.
- Solve the problems, focusing on optimizing the time and space complexity of the solutions.
- Review solutions and discuss with peers or mentors to enhance understanding.
Organize and review course notes, assignments, and resources
Show steps
Reinforce understanding by整理ing andactively reviewing course materials on a regular basis.
Show steps
Show steps
Show steps
- Create a system for organizing notes, assignments, and other course materials.
- Regularly review the organized materials to refresh memory and reinforce concepts.
Practice using the Amazon Bedrock API
Show steps
Gain hands-on experience with Amazon Bedrock by practicing using its API.
Show steps
Show steps
Show steps
- Set up an Amazon Bedrock account and API keys
- Write code to send API requests to Amazon Bedrock
- Test your code with different parameters and inputs
Build a simple image classification model using Amazon Bedrock
Show steps
Apply Amazon Bedrock to a practical project, enhancing hands-on experience and understanding of its capabilities.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Gather a dataset of images for image classification.
- Choose an appropriate model from Amazon Bedrock for image classification.
- Train the model using the provided dataset, experimenting with different hyperparameters.
- Evaluate the performance of the trained model using metrics such as accuracy and F1-score.
Attend a workshop on advanced applications of Amazon Bedrock
Show steps
Gain deeper insights and practical skills by attending workshops focused on advanced applications of Amazon Bedrock.
Browse courses on
Amazon Bedrock
Show steps
Show steps
Show steps
- Research and identify workshops on Amazon Bedrock offered by industry experts or organizations.
- Register and actively participate in the workshop, taking notes and asking questions.
- Implement the techniques and knowledge gained from the workshop into personal projects or assignments.
Build an Amazon Bedrock application
Show steps
Deepen your understanding of Amazon Bedrock by building an end-to-end application that leverages its capabilities.
Show steps
Show steps
Show steps
- Identify a use case or problem that can be solved with Amazon Bedrock
- Design and implement the application architecture
- Deploy and test the application
Write a blog post or article on Amazon Bedrock for beginners
Show steps
Consolidate learning by creating a resource to explain Amazon Bedrock to others, reinforcing understanding.
Browse courses on
Amazon Bedrock
Show steps
Show steps
Show steps
- Research Amazon Bedrock and its key features and benefits.
- Outline the content, including sections on what Amazon Bedrock is, how it works, and its applications.
- Write the blog post or article, ensuring clear and concise explanations.
- Proofread and edit the content for clarity and accuracy.
Career center
Learners who complete Amazon Bedrock - Getting Started with Generative AI will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are typically employed to design, develop, and implement machine learning algorithms and models. They use various programming languages and software tools to automate complex tasks and build predictive models that can help businesses make informed decisions. This Amazon Bedrock - Getting Started with Generative AI course will provide you with a comprehensive understanding of Amazon Bedrock, a fully managed service that makes foundation models (FMs) from Amazon and leading artificial intelligence (AI) startups available through an API. With this knowledge, you will be better equipped to leverage the power of generative AI in your ML projects, making you a more competitive and valuable asset to any organization.
AI Engineer
AI Engineer
AI Engineers are responsible for developing, testing, and deploying artificial intelligence systems. They work on a wide range of projects, from self-driving cars to facial recognition software. This Amazon Bedrock - Getting Started with Generative AI course will provide you with the skills you need to succeed in this field. You will learn how to use Amazon Bedrock to build and deploy generative AI applications, which will give you a competitive edge in the job market.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and computer science to extract insights from data. They work in a variety of industries, including finance, healthcare, and retail. This Amazon Bedrock - Getting Started with Generative AI course will help you develop the skills you need to become a successful Data Scientist. You will learn how to use Amazon Bedrock to build and deploy generative AI models, which can be used to solve a wide range of business problems.
Software Engineer
Software Engineer
Software Engineers design, develop, test, and maintain software systems. They work in a variety of industries, including technology, finance, and healthcare. This Amazon Bedrock - Getting Started with Generative AI course will help you develop the skills you need to become a successful Software Engineer. You will learn how to use Amazon Bedrock to build and deploy generative AI applications, which can be used to automate complex tasks and improve the efficiency of software systems.
Product Manager
Product Manager
Product Managers are responsible for planning, developing, and launching new products. They work with a variety of stakeholders, including engineers, designers, and marketers. This Amazon Bedrock - Getting Started with Generative AI course will help you develop the skills you need to become a successful Product Manager. You will learn how to use Amazon Bedrock to build and deploy generative AI applications, which can be used to improve the user experience of your products.
Business Analyst
Business Analyst
Business Analysts help businesses to improve their performance by analyzing data and identifying opportunities for improvement. They work with a variety of stakeholders, including executives, managers, and employees. This Amazon Bedrock - Getting Started with Generative AI course will help you develop the skills you need to become a successful Business Analyst. You will learn how to use Amazon Bedrock to build and deploy generative AI applications, which can be used to automate complex tasks and improve the efficiency of business processes.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics, including strategy, operations, and technology. They work with a variety of clients, including Fortune 500 companies and small businesses. This Amazon Bedrock - Getting Started with Generative AI course will help you develop the skills you need to become a successful Consultant. You will learn how to use Amazon Bedrock to build and deploy generative AI applications, which can be used to solve a wide range of business problems.
Data Analyst
Data Analyst
Data Analysts use their skills in data analysis and data mining to extract insights from data. They work in a variety of industries, including finance, healthcare, and retail. This Amazon Bedrock - Getting Started with Generative AI course will help you develop the skills you need to become a successful Data Analyst. You will learn how to use Amazon Bedrock to build and deploy generative AI models, which can be used to solve a wide range of business problems.
Statistician
Statistician
Statisticians use their knowledge of statistics to collect, analyze, and interpret data. They work in a variety of industries, including finance, healthcare, and government. This Amazon Bedrock - Getting Started with Generative AI course will help you develop the skills you need to become a successful Statistician. You will learn how to use Amazon Bedrock to build and deploy generative AI models, which can be used to solve a wide range of statistical problems.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their knowledge of mathematics and computer science to solve complex problems in a variety of industries, including transportation, logistics, and manufacturing. This Amazon Bedrock - Getting Started with Generative AI course will help you develop the skills you need to become a successful Operations Research Analyst. You will learn how to use Amazon Bedrock to build and deploy generative AI models, which can be used to optimize processes and improve efficiency.
Realtor
Realtor
Realtors help people buy, sell, and rent real estate. They work for a variety of real estate companies and agencies. This Amazon Bedrock - Getting Started with Generative AI course may be useful for aspiring Realtors who want to learn how to use generative AI to improve their marketing and sales skills.
Financial Analyst
Financial Analyst
Financial Analysts use their knowledge of finance and economics to analyze financial data and make investment recommendations. They work in a variety of industries, including banking, investment management, and insurance. This Amazon Bedrock - Getting Started with Generative AI course may be useful for aspiring Financial Analysts who want to learn how to use generative AI to improve their investment strategies.
Actuary
Actuary
Actuaries use their knowledge of mathematics and statistics to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. This Amazon Bedrock - Getting Started with Generative AI course may be useful for aspiring Actuaries who want to learn how to use generative AI to improve their risk assessment models.
Risk Manager
Risk Manager
Risk Managers use their knowledge of risk management to identify, assess, and mitigate risks. They work in a variety of industries, including finance, healthcare, and government. This Amazon Bedrock - Getting Started with Generative AI course may be useful for aspiring Risk Managers who want to learn how to use generative AI to improve their risk management strategies.
Insurance Agent
Insurance Agent
Insurance Agents sell and service insurance policies to individuals and businesses. They work for a variety of insurance companies and agencies. This Amazon Bedrock - Getting Started with Generative AI course may be useful for aspiring Insurance Agents who want to learn how to use generative AI to improve their sales and customer service skills.
For more career information including salaries, visit:
OpenCourser.com/course/2zmr4l/amazon
Reading list
We've selected nine 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
Amazon Bedrock - Getting Started with Generative AI.
Is helpful background or prerequisite knowledge. It provides a comprehensive overview of artificial intelligence, including its history, different types, and use cases. It also covers the technical aspects of artificial intelligence, such as machine learning and deep learning.
Save
For additional reading. It is considered a definitive textbook for deep learning, and it covers all the core concepts of the field in great detail. This book useful reference tool for anyone who wants to learn more about techniques of deep learning.
For additional reading. It comprehensive guide to generative adversarial networks (GANs), one of the most important generative AI techniques. This book is more valuable as additional reading than it is as a current reference.
Concise and accessible introduction to machine learning. It covers the essential concepts of the field in a clear and easy-to-understand way.
For additional reading. It provides a hands-on introduction to deep learning using Fastai and PyTorch. It covers a wide range of topics, including computer vision.
Provides a comprehensive introduction to machine learning using Python. It covers all the essential concepts of the field, including data preparation, model training, and model evaluation.
Provides a hands-on introduction to machine learning using Scikit-Learn, Keras, and TensorFlow. It covers a wide range of topics, including data preparation, model training, and model evaluation.
Provides a gentle introduction to machine learning. It covers the essential concepts of the field in a clear and easy-to-understand way.
Is commonly used as a textbook at academic institutions. It provides a comprehensive overview of artificial intelligence, including its history, different types, and use cases.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2zmr4l/amazon
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Level
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Via
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Institution
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Instructor
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Language
English
Good to know
Teaches skills and knowledge that are useful for personal growth and development
Teaches skills, knowledge, and/or tools that are highly relevant in an academic setting
Taught by AWS Instructor, who are recognized for their work in the topic that the course teaches
Develops skills and knowledge whose use may be against the law in certain jursidictions
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