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Andru Estes

Learn how use AWS' brand new generative AI offering, Amazon Q!

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Learn how use AWS' brand new generative AI offering, Amazon Q!

Amazon Q is a brand new generative AI offering from AWS: a business assistant for solving problems, generating content, and streamlining innovation. In this demo, Principal Training Architect Andru Estes explains how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. Take a peek at this powerful tool in action—and discover the many challenges it can solve for your organization, too.

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What's inside

Syllabus

How to Use Amazon Q: The GenAI-powered AWS Building Assistant

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Meant for learners with all experience levels in cloud computing and business analysis
Taught by a Principal Training Architect, recognized for their extensive expertise in cloud computing and big data
Examines Amazon Q, a highly relevant and innovative tool for streamlining innovation, solving problems, and generating content

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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 How to Use Amazon Q: The GenAI-powered AWS Building Assistant with these activities:
Review fundamentals of cloud computing
Build a strong foundation for understanding Amazon Q by reviewing key cloud computing concepts.
Show steps
  • Read articles or watch videos on cloud computing fundamentals.
  • Review AWS documentation or whitepapers on cloud concepts.
  • Take a free online course or tutorial on cloud computing.
Organize course materials on Amazon Q
Stay organized and enhance your learning by keeping all relevant course materials in one place.
Show steps
  • Create a dedicated folder or notebook for course materials.
  • Save and organize all lecture notes, assignments, and other resources.
  • Review and update your materials regularly.
Show all two activities

Career center

Learners who complete How to Use Amazon Q: The GenAI-powered AWS Building Assistant will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
A Machine Learning Engineer deploys and maintains machine learning models. As part of this process, they troubleshoot any issues with the model's performance. Amazon Q, as covered in this course, provides troubleshooting support for technical problems, such as network connectivity. This includes issues related to machine learning models, a skillset that complements a Machine Learning Engineer's responsibilities.
Data Scientist
A Data Scientist builds and deploys machine learning models. As with a Machine Learning Engineer, they need to troubleshoot issues with the model. Amazon Q's technical troubleshooting support, as detailed in this course, helps to resolve issues that a Data Scientist might encounter when deploying a model.
Software Engineer
A Software Engineer works on developing and deploying complex solutions and will likely encounter technical difficulties along the way. This course's emphasis on troubleshooting connectivity issues using Amazon Q is a helpful resource for a Software Engineer to quickly resolve any problems with a minimum of downtime.
Solutions Architect
A Solutions Architect builds and maintains cloud computing solutions. Similar to a Cloud Architect, a Solutions Architect manages EC2 instances, virtual private clouds (VPC), and other networking components. This course's detailed walkthrough of how to use Amazon Q to troubleshoot network connectivity is relevant to a Solutions Architect's work.
Network Engineer
A Network Engineer designs, deploys, and maintains computer networks. This includes troubleshooting connectivity issues. The course provides a step-by-step demonstration of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. This would be of value to a Network Engineer who needs to resolve these types of issues.
Cloud Architect
A Cloud Architect designs, develops, and manages cloud computing solutions, including EC2 instances. This course's detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances may be useful to a Cloud Architect.
IT Manager
An IT Manager oversees computer systems and networks. They may need to troubleshoot network connectivity issues. This course offers a detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. This knowledge may be helpful for an IT Manager who needs to resolve such issues.
DevOps Engineer
A DevOps Engineer deploys and maintains software applications. They may encounter issues with EC2 instances and other software and networking applications. This course offers a detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances.
Technical Support Specialist
A Technical Support Specialist troubleshoots software and hardware issues. They may need to troubleshoot connectivity issues with EC2 instances. This course offers a detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. This knowledge may be helpful for a Technical Support Specialist who needs to resolve such issues.
Consultant
A Consultant provides advice to businesses on a variety of topics. They may need to understand technical issues, such as connectivity issues. This course offers a detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. This knowledge may be helpful.
Business Analyst
A Business Analyst analyzes and solves business problems. They may need to understand technical issues, such as connectivity issues. This course offers a detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. This knowledge may be helpful.
Product Manager
A Product Manager plans and executes the development of a product. They may need to troubleshoot issues with the product as it is being developed. This course offers a detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. This knowledge may be helpful for a Product Manager who needs to resolve such issues.
Project Manager
A Project Manager plans and executes projects. They may need to understand technical issues, such as connectivity issues. This course offers a detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. This knowledge may be helpful.
Systems Analyst
A Systems Analyst analyzes and designs computer systems. They may need to troubleshoot issues with these systems, including connectivity issues. This course offers a detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. This knowledge may be helpful.
Web Developer
A Web Developer designs and develops websites. They may need to troubleshoot issues with the website, such as connectivity issues. This course offers a detailed walkthrough of how to use Amazon Q to troubleshoot connectivity issues with EC2 instances. This knowledge may be helpful.

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 How to Use Amazon Q: The GenAI-powered AWS Building Assistant.
Provides a comprehensive introduction to machine learning algorithms and techniques. Covers topics such as data preprocessing, model selection, and evaluation. Useful for those who want to learn the fundamentals of ML.
Covers the fundamentals of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks. Useful for those who want to learn about the latest advancements in ML.
Provides a comprehensive introduction to reinforcement learning, including Markov decision processes and Q-learning. Useful for those who want to learn about the latest advancements in AI.
Provides a comprehensive introduction to probabilistic graphical models, including Bayesian networks and Markov random fields. Useful for those who want to learn about the latest advancements in AI.
Provides a practical introduction to deep learning using Fastai and PyTorch. Covers topics such as image classification, natural language processing, and computer vision. Useful for those who want to get started with deep learning.
Provides a comprehensive introduction to deep learning using Keras. Covers topics such as image classification, natural language processing, and computer vision. Useful for those who want to learn about deep learning using Keras.
Provides a comprehensive introduction to machine learning using Python. Covers topics such as data preprocessing, model selection, and evaluation. Useful for those who want to learn about machine learning using Python.
Provides a comprehensive introduction to natural language processing (NLP). Covers topics such as text preprocessing, machine translation, and speech recognition. Useful for those who want to work with NLP applications.

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