Getting Started with AWS Generative AI for Developers course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a practical introduction to developing generative AI applications using AWS cloud services. Designed for developers, it covers foundational concepts, key AWS AI tools like Amazon Bedrock, and real-world application development workflows. Learners will gain hands-on experience integrating foundation models into cloud applications, with attention to security, governance, and responsible AI. The course spans approximately 6 weeks with a mix of lectures, labs, and a final project, requiring roughly 3-5 hours per week.
Module 1: Introduction to Generative AI on AWS
Estimated time: 4 hours
- Understand the fundamentals of generative AI
- Explore the role of foundation models in AI systems
- Learn how AWS supports generative AI development
- Identify common use cases such as chatbots and automation
- Recognize the benefits of cloud-based AI development
Module 2: AWS Generative AI Services
Estimated time: 6 hours
- Learn how Amazon Bedrock provides access to foundation models
- Explore AWS tools for building AI-powered applications
- Understand model management and integration strategies
- Evaluate different AI capabilities available on AWS
Module 3: Building Generative AI Applications
Estimated time: 10 hours
- Use APIs to interact with foundation models
- Develop AI-powered features such as content generation and automation
- Implement scalable cloud-based AI workflows
- Test and refine AI-generated outputs
Module 4: Security, Governance & Responsible AI
Estimated time: 4 hours
- Understand security best practices in AWS cloud environments
- Implement access control and data protection measures
- Learn responsible AI usage and governance principles
- Ensure reliability and transparency in AI-powered systems
Module 5: Final Application Exercise
Estimated time: 6 hours
- Design an AI-powered feature using AWS tools
- Integrate foundation models into your application workflow
- Evaluate system performance and generated results
Module 6: Final Project
Estimated time: 6 hours
- Build a simple generative AI application
- Demonstrate integration of generative AI capabilities
- Submit working code and documentation for review
Prerequisites
- Basic programming knowledge (e.g., Python or JavaScript)
- Familiarity with cloud computing concepts
- Understanding of APIs and web services
What You'll Be Able to Do After
- Explain how generative AI and foundation models work in the AWS ecosystem
- Use Amazon Bedrock and related AWS services to access AI models
- Integrate generative AI capabilities into cloud-based applications
- Implement secure and scalable AI workflows
- Apply responsible AI practices in deployment and governance