Welcome to the first part of this learning plan centered around the role and responsibilities of a generative AI professional developer. In this part, you'll learn how to implement enterprise-scale generative AI solutions using AWS services. You'll learn to integrate foundation models with Amazon Bedrock, implement technical architectures using AWS Lambda and Step Functions, manage multimodal data, leverage vector stores for advanced retrieval, and apply effective prompt engineering strategies.
Gen AI Dev- Analyze Requirements & Design GenAI Solutions
Gen AI Dev- Analyze Requirements & Design GenAI Solutions
This course is part of AWS Generative AI Developer Advanced Specialization
Instructor: AWS Instructor
Access provided by Women Applying AI
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Define generative AI and understand its core capabilities
Describe the role and responsibilities of a generative AI developer
Recognize the key skills and knowledge areas you will develop
Skills you'll gain
- Embeddings
- Generative Model Architectures
- Model Evaluation
- Multimodal Prompts
- Prompt Patterns
- Serverless Computing
- Retrieval-Augmented Generation
- Machine Learning
- Software Development
- Natural Language Processing
- Solution Architecture
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Cloud Computing
- Large Language Modeling
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
Recently updated!
September 2026
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This course is part of the AWS Generative AI Developer Advanced Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
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