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Amazon Bedrock
Hands on Training for Generative AI
This course will get you up and running quickly on Amazon Bedrock and Generative AI. Whether you are a developer, DevOps/MLOps engineer, business analyst, scrum master, or manager, this course is for you.
Read more
This course will get you up and running quickly on Amazon Bedrock and Generative AI. Whether you are a developer, DevOps/MLOps engineer, business analyst, scrum master, or manager, this course is for you.
Read more
This course will get you up and running quickly on Amazon Bedrock and Generative AI. Whether you are a developer, DevOps/MLOps engineer, business analyst, scrum master, or manager, this course is for you.
Start with no experience or understanding of Generative AI and leverage your current skillset or knowledge base to begin creating with Generative AI.
Understand and quickly take advantage of the incredible opportunity of Generative AI, that is quickly moving towards us.
If you are already using another Generative AI framework, rapidly move over and start using Bedrock, from AWS, the world's #1 cloud provider.
This course covers:
The incredible upcoming opportunity of Generative AI
The Difference between Regular AI and Generative AI
Overview of Amazon Bedrock
AWS Bedrock Setup, Pricing, and Model Access
Creating an AWS Account
Installing the AWS CLI and getting Programmatic Access to access the APIs
Foundation Model Access
Foundation Model Pricing
AWS Bedrock Playgrounds including Text, Image, and Chat Playgrounds
Differences between Text Playground and Chat Playground
Inference Parameters
Foundation Models
Foundation Model Examples
Python Introduction and Setup
Integrating AWS Bedrock APIs into a software application using Python
This is a hands-on course created to help the user to quickly understand and become productive with Amazon Bedrock and Generative AI.
Take advantage of the incredible Generative AI opportunity and get this course now.
Register for this course and see more details by visiting:
OpenCourser.com/course/nzdqgd/amazon
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores generative AI, a high-growth area in tech
Teaches Bedrock by AWS, one of the main players in cloud services
Develops a solid foundation for beginners in generative AI
Has a hands-on approach, which is valuable for practical learning
Requires some background in Python, which may be a barrier for complete beginners
Save this course
Save Amazon Bedrock: Hands on Training for Generative AI to your list so you can find it easily later:
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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: Hands on Training for Generative AI with these
activities:
Review Python programming basics
Show steps
Refreshing your Python skills will ensure you have a solid foundation for working with Generative AI tools
Browse courses on
Python
Show steps
-
Review online tutorials or documentation on Python basics
-
Complete coding exercises to practice your skills
Review: Artificial Intelligence by Stuart Russell and Peter Norvig
Show steps
This text provides a thorough overview of artificial intelligence as a foundational resource for your learning journey in Generative AI
Show steps
-
Read each chapter and take notes on the key concepts
-
Complete the end-of-chapter exercises to test your understanding
-
Discuss the book with other students or online communities
Join a study group or online forum for Generative AI
Show steps
Engaging with peers will broaden your perspectives and help you learn from others' experiences
Browse courses on
Generative AI
Show steps
-
Search for online forums or study groups dedicated to Generative AI
-
Introduce yourself and share your interests
-
Participate in discussions and ask questions
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Review AI Concepts Overview
Show steps
Refresh your knowledge of AI concepts to build a stronger foundation for understanding Generative AI and Amazon Bedrock.
Browse courses on
AI Fundamentals
Show steps
-
Summarize the key concepts of AI, machine learning, and deep learning.
-
Describe the different types of AI architectures and algorithms.
-
Explain the strengths and limitations of AI technology.
Follow tutorials on using Amazon Bedrock's API
Show steps
Completing tutorials will provide you with hands-on experience and familiarize you with the platform
Browse courses on
Amazon Bedrock
Show steps
-
Search for tutorials on Amazon Bedrock's website or other online resources
-
Follow the instructions carefully and experiment with the code
Review Python
Show steps
Brush up and prepare for hands-on exercises on core Python skills. Start by setting up a development environment to practice writing and executing Python code.
Browse courses on
Python
Show steps
-
Set up a Python development environment
-
Review basic syntax and data types
-
Practice writing simple Python scripts
Follow Bedrock Tutorials
Show steps
Complete guided tutorials on Amazon Bedrock to gain hands-on experience and reinforce your understanding of its features.
Show steps
-
Access the AWS Bedrock documentation and tutorials.
-
Step through the tutorials for text, image, and chat playgrounds.
-
Experiment with different inference parameters and foundation models.
Build a simple text-based chatbot
Show steps
Creating a chatbot will provide you with practical experience in applying Generative AI techniques
Browse courses on
Natural Language Processing
Show steps
-
Choose a programming language and framework
-
Design the chatbot's functionality and dialogue flow
-
Implement the chatbot's logic and responses
Create a Simple Generative AI App with Amazon Bedrock
Show steps
Go through guided tutorials to build confidence in using Amazon Bedrock for Generative AI. Begin by setting up an AWS account and understanding the pricing model.
Browse courses on
Generative AI
Show steps
-
Create an AWS account and set up Bedrock
-
Explore the AWS Bedrock Playground
-
Build a simple Generative AI app
Write a blog post or article about Generative AI
Show steps
Explaining Generative AI to others will reinforce your understanding and help you identify areas where you need further learning
Browse courses on
Generative AI
Show steps
-
Research the topic and gather information
-
Outline the structure of your blog post or article
-
Write the draft and edit it carefully
Practice Using Generative AI APIs
Show steps
Sharpen skills in interacting with Generative AI APIs. Use Python libraries to access the Amazon Bedrock API and experiment with different parameters to generate various outputs.
Browse courses on
Generative AI
Show steps
-
Install the Python library for Amazon Bedrock
-
Practice making API calls to generate text
-
Experiment with different inference parameters
Develop a Generative AI Project
Show steps
Create a project that utilizes Generative AI and Amazon Bedrock to apply your learning and showcase your skills.
Show steps
-
Choose a project idea that aligns with your interests and course objectives.
-
Design and plan the implementation of your project.
-
Develop and test your project using Generative AI techniques.
-
Document your project and share your findings.
Practice using Generative AI tools in different scenarios
Show steps
Regular practice will improve your fluency and proficiency in using Generative AI tools
Browse courses on
Generative AI
Show steps
-
Identify different scenarios where Generative AI can be applied
-
Experiment with different tools and techniques
-
Evaluate the results and iterate to improve your approach
Blog Post: My Experience with Amazon Bedrock
Show steps
Share knowledge and reflect on the learning experience by creating a blog post. Summarize key concepts of Generative AI and Amazon Bedrock, and share practical tips for using the platform.
Browse courses on
Generative AI
Show steps
-
Brainstorm and outline the blog post
-
Write the content and incorporate findings
-
Proofread and publish the blog post
Participate in a Generative AI competition or hackathon
Show steps
Competitions provide a challenging and motivating environment to test your skills and learn from others
Browse courses on
Generative AI
Show steps
-
Research upcoming Generative AI competitions or hackathons
-
Form a team or work independently
-
Develop a strategy and implement your solution
Review Python programming basics
Show steps
Refreshing your Python skills will ensure you have a solid foundation for working with Generative AI tools
Browse courses on
Python
Show steps
Show steps
Show steps
- Review online tutorials or documentation on Python basics
- Complete coding exercises to practice your skills
Review: Artificial Intelligence by Stuart Russell and Peter Norvig
Show steps
This text provides a thorough overview of artificial intelligence as a foundational resource for your learning journey in Generative AI
Show steps
Show steps
Show steps
- Read each chapter and take notes on the key concepts
- Complete the end-of-chapter exercises to test your understanding
- Discuss the book with other students or online communities
Join a study group or online forum for Generative AI
Show steps
Engaging with peers will broaden your perspectives and help you learn from others' experiences
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Search for online forums or study groups dedicated to Generative AI
- Introduce yourself and share your interests
- Participate in discussions and ask questions
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Review AI Concepts Overview
Show steps
Refresh your knowledge of AI concepts to build a stronger foundation for understanding Generative AI and Amazon Bedrock.
Browse courses on
AI Fundamentals
Show steps
Show steps
Show steps
- Summarize the key concepts of AI, machine learning, and deep learning.
- Describe the different types of AI architectures and algorithms.
- Explain the strengths and limitations of AI technology.
Follow tutorials on using Amazon Bedrock's API
Show steps
Completing tutorials will provide you with hands-on experience and familiarize you with the platform
Browse courses on
Amazon Bedrock
Show steps
Show steps
Show steps
- Search for tutorials on Amazon Bedrock's website or other online resources
- Follow the instructions carefully and experiment with the code
Review Python
Show steps
Brush up and prepare for hands-on exercises on core Python skills. Start by setting up a development environment to practice writing and executing Python code.
Browse courses on
Python
Show steps
Show steps
Show steps
- Set up a Python development environment
- Review basic syntax and data types
- Practice writing simple Python scripts
Follow Bedrock Tutorials
Show steps
Complete guided tutorials on Amazon Bedrock to gain hands-on experience and reinforce your understanding of its features.
Show steps
Show steps
Show steps
- Access the AWS Bedrock documentation and tutorials.
- Step through the tutorials for text, image, and chat playgrounds.
- Experiment with different inference parameters and foundation models.
Build a simple text-based chatbot
Show steps
Creating a chatbot will provide you with practical experience in applying Generative AI techniques
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Choose a programming language and framework
- Design the chatbot's functionality and dialogue flow
- Implement the chatbot's logic and responses
Create a Simple Generative AI App with Amazon Bedrock
Show steps
Go through guided tutorials to build confidence in using Amazon Bedrock for Generative AI. Begin by setting up an AWS account and understanding the pricing model.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Create an AWS account and set up Bedrock
- Explore the AWS Bedrock Playground
- Build a simple Generative AI app
Write a blog post or article about Generative AI
Show steps
Explaining Generative AI to others will reinforce your understanding and help you identify areas where you need further learning
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Research the topic and gather information
- Outline the structure of your blog post or article
- Write the draft and edit it carefully
Practice Using Generative AI APIs
Show steps
Sharpen skills in interacting with Generative AI APIs. Use Python libraries to access the Amazon Bedrock API and experiment with different parameters to generate various outputs.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Install the Python library for Amazon Bedrock
- Practice making API calls to generate text
- Experiment with different inference parameters
Develop a Generative AI Project
Show steps
Create a project that utilizes Generative AI and Amazon Bedrock to apply your learning and showcase your skills.
Show steps
Show steps
Show steps
- Choose a project idea that aligns with your interests and course objectives.
- Design and plan the implementation of your project.
- Develop and test your project using Generative AI techniques.
- Document your project and share your findings.
Practice using Generative AI tools in different scenarios
Show steps
Regular practice will improve your fluency and proficiency in using Generative AI tools
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify different scenarios where Generative AI can be applied
- Experiment with different tools and techniques
- Evaluate the results and iterate to improve your approach
Blog Post: My Experience with Amazon Bedrock
Show steps
Share knowledge and reflect on the learning experience by creating a blog post. Summarize key concepts of Generative AI and Amazon Bedrock, and share practical tips for using the platform.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Brainstorm and outline the blog post
- Write the content and incorporate findings
- Proofread and publish the blog post
Participate in a Generative AI competition or hackathon
Show steps
Competitions provide a challenging and motivating environment to test your skills and learn from others
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Research upcoming Generative AI competitions or hackathons
- Form a team or work independently
- Develop a strategy and implement your solution
Career center
Learners who complete Amazon Bedrock: Hands on Training for Generative AI will develop knowledge and skills
that may be useful to these careers:
Generative AI Engineer
Generative AI Engineer
Generative AI Engineers are responsible for designing, developing, and deploying Generative AI applications. This course is a must-have for Generative AI Engineers who wish to stay up-to-date on the latest Generative AI technologies. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
AI Researcher
AI Researcher
AI Researchers are responsible for conducting research on artificial intelligence. This course may be useful for AI Researchers who wish to learn about Generative AI and how to use it in their research. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers are responsible for developing and deploying computer vision models. This course may be useful for Computer Vision Engineers who wish to use Generative AI to create and deploy computer vision models. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers are responsible for developing and deploying natural language processing models. This course may be useful for Natural Language Processing Engineers who wish to use Generative AI to create and deploy natural language processing models. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing and developing machine learning models. This course may be useful for Machine Learning Engineers who wish to use Generative AI to create and deploy machine learning models. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to uncover insights and patterns. This course may be useful for Data Scientists who wish to use Generative AI to improve the accuracy and efficiency of their data analysis. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
University Professor
University Professor
University Professors are responsible for teaching and conducting research in their field of expertise. This course may be useful for University Professors who wish to learn about Generative AI and how to use it in their teaching and research. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
MLOps Engineer
MLOps Engineer
MLOps Engineers are responsible for the lifecycle management of machine learning models. This course may be useful for MLOps Engineers who wish to use Generative AI to create and deploy machine learning models. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Consultant
Consultant
Consultants are responsible for providing advice and guidance to organizations on a variety of topics. This course may be useful for Consultants who wish to learn about Generative AI and how to use it to provide better advice to their clients. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Entrepreneur
Entrepreneur
Entrepreneurs are responsible for starting and running their own businesses. This course may be useful for Entrepreneurs who wish to learn about Generative AI and how to use it to create new products and services. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
DevOps Engineer
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams and streamlining the software development and delivery process. This course may be useful for DevOps Engineers who wish to use Generative AI to automate tasks and improve efficiency. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business needs and requirements and translating them into technical specifications. This course may be useful for Business Analysts who wish to use Generative AI to gain insights from data and make better business decisions. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Software Developer
Software Developer
Software Developers are responsible for designing and developing software applications and systems. This course may be useful for Software Developers who wish to use Generative AI in their work. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Scrum Master
Scrum Master
Scrum Masters are responsible for facilitating Agile software development teams and ensuring that they are following Scrum principles and practices. This course may be useful for Scrum Masters who wish to use Generative AI to improve team communication and collaboration. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
Manager
Manager
Managers are responsible for leading and managing teams of employees and overseeing the day-to-day operations of an organization. This course may be useful for Managers who wish to use Generative AI to improve decision-making and strategic planning. The course provides an overview of Generative AI and how to use the Amazon Bedrock platform to create Generative AI applications.
For more career information including salaries, visit:
OpenCourser.com/course/nzdqgd/amazon
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
Amazon Bedrock: Hands on Training for Generative AI.
Provides a practical introduction to deep learning using the fastai library. It great resource for anyone looking to learn how to build and train deep learning models.
Save
Provides a comprehensive overview of natural language processing (NLP) with transformers. It valuable resource for anyone looking to learn how to build and train NLP models.
Provides a practical introduction to machine learning using the Scikit-Learn, Keras, and TensorFlow libraries. It great resource for anyone looking to learn how to build and train machine learning models.
Provides a comprehensive overview of deep learning using the Python programming language. It great resource for anyone looking to learn how to build and train deep learning models.
Provides a comprehensive overview of natural language processing (NLP) using the Python programming language. It great resource for anyone looking to learn how to build and train NLP models.
Provides a comprehensive overview of generative deep learning. It great resource for anyone looking to learn how to build and train generative deep learning models.
Useful reference tool. It popular choice for those who want to learn about machine learning in R. It provides a comprehensive overview of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nzdqgd/amazon
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Effort
2.5 total hours
Via
Udemy
Good to know
Explores generative AI, a high-growth area in tech
Teaches Bedrock by AWS, one of the main players in cloud services
Develops a solid foundation for beginners in generative AI
Has a hands-on approach, which is valuable for practical learning
Requires some background in Python, which may be a barrier for complete beginners
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