Advanced Generative AI Development on AWS

Course Overview

This thee day, instructor led Advanced Generative AI Development on AWS is a hands-on course designed for developers building production-ready generative AI solutions on AWS. Participants learn how to develop scalable and secure AI applications using foundation models, vector databases, retrieval augmentation, prompt engineering, autonomous AI agents, monitoring, testing, and enterprise integration patterns. The course also covers AI safety, performance optimization, cost management, and observability for real-world generative AI deployments. At the completion of this course, participants will be able to:

• Develop secure and scalable generative AI solutions using AWS services
• Evaluate and select foundation models for business use cases
• Build resilient AI architectures and data processing pipelines
• Implement vector databases and retrieval-augmented generation solutions
• Apply advanced prompt engineering and prompt governance techniques
• Develop autonomous AI agents with tool integration capabilities
• Implement AI safety, security, and compliance controls
• Optimize AI performance, monitoring, and cost management strategies
• Design testing, validation, and observability frameworks for AI applications
• Integrate generative AI solutions into enterprise environments

Schedule

Program Level

Advanced

Training Delivery Methods

VILT+ILT

Duration

3 Days / 24 Hour Training

Course Outline

Foundation Model Selection and Configuration

Advanced Data Processing for Foundation Models

Vector Databases and Retrieval Augmentation

Prompt Engineering and Governance

Agentic AI and Tool Integration

AI Safety and Security

Performance Optimization and Cost Management

Monitoring and Observability for Generative AI

Testing, Validation, and Continuous Improvement

Enterprise Integration Patterns

Course wrap-up

Should I take this course?

This course is intended for:

• Senior Developers
• ML Engineers

Prerequisites:

• AWS Technical Essentials
• Generative AI Essentials on AWS
• 2 or more years of experience building production grade applications on AWS or with open source technologies, general AI/ML or data engineering experience
• 1 year of hands-on experience implementing generative AI solutions