Amazon Bedrock - Getting Started with Generative AI course Syllabus

Overview: This course provides a practical introduction to building generative AI applications using Amazon Bedrock and the AWS cloud platform. Designed for developers and cloud engineers, it covers core concepts of foundation models, API integration, and responsible AI practices. With approximately 8–12 hours of content, the course is structured into five core modules and a final project, allowing learners to gain hands-on experience building scalable AI solutions within the AWS ecosystem.

Module 1: Introduction to Amazon Bedrock

Estimated time: 2 hours

• Understand what generative AI and foundation models are
• Explore the role of Amazon Bedrock in the AWS ecosystem
• Identify common use cases for generative AI applications
• Recognize the benefits of managed AI services in the cloud

Module 2: Foundation Models & AI Capabilities

Estimated time: 3 hours

• Learn about foundation models available through Amazon Bedrock
• Access multiple models via a unified API
• Generate text, summarize content, and create AI-generated content
• Evaluate model performance and output quality for different use cases

Module 3: Building Applications with Bedrock APIs

Estimated time: 4 hours

• Integrate Bedrock APIs into cloud applications
• Build AI-powered features such as chatbots and intelligent assistants
• Automate workflows using generative AI
• Test and refine AI-generated outputs for accuracy and relevance

Module 4: Security, Governance & Responsible AI

Estimated time: 2 hours

• Implement security best practices for AI applications
• Manage access control and permissions in AWS
• Apply responsible AI principles to generative AI development
• Ensure data privacy and regulatory compliance

Module 5: Final Application Exercise

Estimated time: 3 hours

• Design a simple generative AI application using Amazon Bedrock
• Integrate foundation models into a real-world workflow
• Test and evaluate application performance and outputs

Module 6: Final Project

Estimated time: 4 hours

• Develop a complete AI-powered solution (e.g., chatbot or automation tool)
• Demonstrate API integration with Amazon Bedrock
• Submit application for review and certification

Prerequisites

• Basic understanding of cloud computing concepts
• Familiarity with AWS services (recommended)
• Fundamental programming knowledge (for API integration)

What You'll Be Able to Do After

• Build generative AI applications using Amazon Bedrock
• Integrate foundation models into cloud-based workflows
• Use Bedrock APIs to generate text and automate tasks
• Apply security and governance best practices in AI development
• Design scalable and responsible AI solutions on AWS