AWS Generative AI Applications Professional Certificate course Syllabus

Overview: This professional certificate program is designed for beginners with a foundational interest in cloud computing and Generative AI. The course spans approximately 13–16 weeks of part-time study, with each module requiring 6–10 hours per week. You’ll learn to build, deploy, and manage real-world Generative AI applications using AWS cloud services. The curriculum blends conceptual understanding with hands-on implementation, guiding you from AI fundamentals to deploying scalable, secure, and responsible AI applications in the cloud. A final project integrates all skills to deliver a production-ready AI application.

Module 1: Foundations of Generative AI

Estimated time: 30 hours

• Understand how Generative AI and large language models (LLMs) work conceptually
• Learn key concepts: transformers, embeddings, and fine-tuning
• Explore real-world use cases of Generative AI across industries
• Identify the role of foundation models in AI applications

Module 2: Building AI Applications on AWS

Estimated time: 40 hours

• Access foundation models using AWS services like Amazon Bedrock
• Integrate AI capabilities into web and enterprise applications
• Use APIs to connect applications with AI models
• Design cloud architecture for AI-powered systems on AWS

Module 3: Prompt Engineering and Model Customization

Estimated time: 35 hours

• Write effective prompts for various Generative AI use cases
• Apply few-shot learning techniques to improve model outputs
• Customize models using parameter tuning and prompt patterns
• Adapt foundation models for specific business tasks

Module 4: Deployment, Monitoring, and Responsible AI

Estimated time: 35 hours

• Deploy Generative AI applications at scale using AWS infrastructure
• Monitor model performance, usage, and cost in production
• Implement security best practices for AI applications
• Apply ethical and responsible AI principles in real-world deployments

Module 5: Integration and Optimization

Estimated time: 20 hours

• Integrate AI models into scalable cloud-based applications
• Optimize costs and latency in AI model inference
• Use AWS tools for model evaluation and performance tuning

Module 6: Final Project

Estimated time: 20 hours

• Design and build a full-stack Generative AI application on AWS
• Implement prompt engineering and model customization techniques
• Deploy the application with monitoring and security best practices

Prerequisites

• Basic understanding of cloud computing concepts
• Familiarity with programming (Python preferred)
• Access to an AWS account for hands-on labs

What You'll Be Able to Do After

• Build and deploy Generative AI applications on AWS cloud infrastructure
• Use AWS-native tools to work with foundation models and APIs
• Apply prompt engineering and model customization techniques effectively
• Integrate AI models into scalable, secure, and cost-efficient applications
• Implement responsible AI practices in production environments