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Generative AI and LLMs on AWS

Master deploying generative AI models like GPT on AWS through hands-on labs. Learn architecture selection, cost optimization, monitoring, CI/CD pipelines, and compliance best practices. Gain skills in operationalizing LLMs using Amazon Bedrock, auto-scaling, spot instances, and differential privacy techniques. Ideal for ML engineers, data scientists, and technical leaders.

Course Highlights:

Choose optimal LLM architectures for your applications
Optimize cost, performance and scalability with auto-scaling and orchestration
Monitor LLM metrics and continuously improve model quality
Build secure CI/CD pipelines to train, deploy and update LLMs
Ensure regulatory compliance via differential privacy and controlled rollouts
Real-world, hands-on training for production-ready generative AI

Unlock the power of large language models on AWS. Master operationalization using cloud-native services through this comprehensive, practical training program.

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What's inside

Learning objectives

Deploying large language models on aws
Selecting optimal llm architectures and models
Optimizing llm cost, performance, and scalability
Monitoring and logging llm metrics

Building reliable llm ci/cd pipelines
Ensuring regulatory compliance for llm deployment
Hands-on llm operationalization using amazon bedrock

Deploying large language models on aws
Selecting optimal llm architectures and models
Optimizing llm cost, performance, and scalability
Monitoring and logging llm metrics
Building reliable llm ci/cd pipelines
Ensuring regulatory compliance for llm deployment
Hands-on llm operationalization using amazon bedrock

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills in operationalizing large language models using Amazon Bedrock, auto-scaling, spot instances, and differential privacy techniques

Taught by Noah Gift and Alfredo Deza, who are recognized for their work in generative AI

Examines generative AI models, their applications, and best practices in their deployment and use

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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 Generative AI and LLMs on AWS with these activities:

Collaborate on LLM deployment projects

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Foster teamwork and exchange knowledge through collaborative LLM deployment projects

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Join or form a study group
Choose a deployment project and define goals
Divide tasks and work together on different aspects of the project

Attend an LLM deployment workshop

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Gain practical insights and hands-on experience in LLM deployment through expert-led workshops

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Research upcoming workshops on LLM deployment
Register and actively participate in the workshop
Engage with industry experts and share your learnings

Explore Amazon Bedrock for LLM operationalization

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Gain expertise in leveraging Amazon Bedrock to efficiently deploy LLMs

Browse courses on Amazon Bedrock

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Review documentation to understand Amazon Bedrock
Follow online tutorials and setup a basic Bedrock environment
Experiment with advanced features like autoscaling and model cloning

Three other activities

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Develop a presentation on LLM cost optimization techniques

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Reinforce your understanding and share your knowledge by creating a presentation on cost optimization

Browse courses on Presentation

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Review and gather information on LLM cost optimization techniques
Design and create a visual presentation
Practice and deliver the presentation

Practice LLM deployment troubleshooting

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Identify and resolve common issues to ensure seamless LLM deployment

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Review LLM documentation and resolve basic issues
Identify advanced deployment challenges and research solutions
Configure cloud infrastructure for optimal LLM performance

Implement differential privacy for LLM security

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Enhance LLM security by applying differential privacy techniques

Browse courses on Differential Privacy

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Research and understand differential privacy concepts
Apply differential privacy techniques to LLM training
Evaluate the impact of differential privacy on LLM performance

Career center

Learners who complete Generative AI and LLMs on AWS will develop knowledge and skills that may be useful to these careers:

AI Engineer

AI Engineers design, develop, and deploy artificial intelligence (AI) models. The Generative AI and LLMs on AWS course can help AI Engineers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, AI Engineers can automate AI tasks and gain insights into AI model performance.

See salaries and explore the career path for AI Engineer

Cloud Architect

Cloud Architects design and manage cloud computing systems. The Generative AI and LLMs on AWS course can help Cloud Architects build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Cloud Architects can design and manage cloud systems that are more intelligent and can automate tasks that would be difficult to perform manually.

See salaries and explore the career path for Cloud Architect

Machine Learning Engineer

Machine Learning Engineers design, build, and deploy machine learning models. The Generative AI and LLMs on AWS course can help Machine Learning Engineers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Machine Learning Engineers can automate machine learning tasks and gain insights from data that would be difficult to obtain manually. For example, LLMs can be used to train chatbots to communicate with customers in a natural way.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use statistical and machine learning techniques to extract insights from data. The Generative AI and LLMs on AWS course can help Data Scientists build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Data Scientists can automate data analysis tasks and gain insights from data that would be difficult to obtain manually. For example, LLMs can be used to analyze customer feedback data to identify common themes and sentiment, or to translate large volumes of text data into different languages.

See salaries and explore the career path for Data Scientist

DevOps Engineer

DevOps Engineers are responsible for building and maintaining the infrastructure that supports software development. The Generative AI and LLMs on AWS course can help DevOps Engineers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, DevOps Engineers can automate infrastructure tasks and gain insights into the performance of their systems.

See salaries and explore the career path for DevOps Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. The Generative AI and LLMs on AWS course can help Software Engineers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Software Engineers can build applications that are more intelligent and can interact with users in a more natural way.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers are responsible for developing and managing software products. The Generative AI and LLMs on AWS course can help Product Managers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Product Managers can build products that are more intelligent and can meet the needs of their users.

See salaries and explore the career path for Product Manager

Data Analyst

Data Analysts are responsible for analyzing and interpreting data to identify trends, patterns, and insights. The Generative AI and LLMs on AWS course can help Data Analysts build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Data Analysts can automate data analysis tasks and gain insights from data that would be difficult to obtain manually. For example, LLMs can be used to analyze customer feedback data to identify common themes and sentiment, or to translate large volumes of text data into different languages.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers design and build the infrastructure that supports data analytics. The Generative AI and LLMs on AWS course can help Data Engineers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Data Engineers can automate data engineering tasks and gain insights into data quality.

See salaries and explore the career path for Data Engineer

Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns. The Generative AI and LLMs on AWS course can help Marketing Managers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Marketing Managers can create more personalized and targeted marketing campaigns.

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Business Analyst

Business Analysts analyze business needs and develop solutions to improve business processes. The Generative AI and LLMs on AWS course can help Business Analysts build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Business Analysts can automate business processes and gain insights into customer data.

See salaries and explore the career path for Business Analyst

Technical Writer

Technical Writers create and maintain technical documentation. The Generative AI and LLMs on AWS course can help Technical Writers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Technical Writers can automate documentation tasks and create more engaging and informative content.

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Customer Success Manager

Customer Success Managers are responsible for ensuring that customers are satisfied with their products and services. The Generative AI and LLMs on AWS course can help Customer Success Managers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Customer Success Managers can automate customer support tasks and gain insights into customer feedback.

See salaries and explore the career path for Customer Success Manager

UX Designer

UX Designers design the user experience for software products. The Generative AI and LLMs on AWS course can help UX Designers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, UX Designers can create more intuitive and user-friendly interfaces.

See salaries and explore the career path for UX Designer

Sales Manager

Sales Managers are responsible for leading and managing sales teams. The Generative AI and LLMs on AWS course can help Sales Managers build a foundation in using AWS services to deploy and operationalize large language models (LLMs). LLMs are powerful AI models that can generate text, translate languages, and answer questions. By learning how to use LLMs on AWS, Sales Managers can automate sales processes and gain insights into customer data.

See salaries and explore the career path for Sales Manager

Reading list

We've selected 13 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 Generative AI and LLMs on AWS.

Natural Language Processing with Python

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Provides a comprehensive overview of natural language processing (NLP) techniques. It covers a wide range of topics, including text preprocessing, text classification, and text generation. This book will help you understand the fundamentals of NLP and how to apply these techniques to solve real-world problems.

Generative AI and LLMs on AWS

Three deals to help you save

What's inside

Learning objectives

Good to know

Save this course

Activities

Career center

Reading list

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