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Generative AI and LLMs on AWS

Noah Gift and Alfredo Deza

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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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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