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Artificial Intelligence and Machine Learning
AWS Generative AI Developer – Professional
Put foundation models into production applications (AIP-C01)
An advanced classroom course for developers building generative AI into real products. It follows the five domains of the official AIP-C01 exam guide: foundation model integration, data management and compliance; implementation and integration; AI safety, security and governance; operational efficiency and optimization; and testing, validation and troubleshooting. AWS describes the target candidate as having two or more years building production applications and a year of hands-on generative AI work.
9Modules
AdvancedLevel
4 monthsDuration
COURSE THUMBNAIL
What you will be able to do
Design solutions with vector stores, knowledge bases and RAG
Integrate foundation models into applications and workflows
Implement agentic AI solutions
Apply security, governance and responsible AI practices
Evaluate, monitor and optimize a generative AI application
Sit the AIP-C01 exam having covered every domain of its guide
Course outline
01
Selecting and integrating foundation models
02
Vector stores, knowledge bases and Retrieval Augmented Generation
03
Prompt engineering and prompt management
04
Implementing agentic AI solutions
05
Integrating generative AI into applications and business workflows
06
AI safety, security and governance
07
Optimizing cost and performance
08
Evaluating, testing and troubleshooting generative AI applications
09
Capstone application and exam practice
Tools you will use
Amazon BedrockAWS LambdaAmazon S3Amazon CloudWatchAWS IAMPython
What you need
Experience building and deploying applications in Python
AWS Developer – Associate knowledge or equivalent
