Advanced Generative AI Development on AWS

Course 9031

Duration: 3 days
Language: English
Level: Advanced

The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives. This advanced 3-day instructor-led training builds expertise across the entire generative AI stack - from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks.

IMPORTANT:

Attendance capped at 20 for each event. There are no wait-lists.
Only 2 attendees per organization

Advanced Generative AI on AWS Training Delivery Methods

Online
Upskill your whole team by bringing Private Team Training to your facility.

Advanced Generative AI on AWS Training Information

In this course, you will:
- Develop production-ready generative AI solutions using AWS services that meet enterprise requirements for security, scalability, and reliability
- Evaluate and select appropriate foundation models for specific business use cases, including benchmarking performance and implementing dynamic model selection architectures
- Design and implement resilient foundation model systems with circuit breakers, cross-region deployment, and graceful degradation strategies
- Build comprehensive data processing pipelines for multi-modal inputs, including validation workflows and optimization techniques
- Implement sophisticated vector database solutions using Amazon Bedrock Knowledge Bases, OpenSearch, and hybrid approaches for effective retrieval augmentation
- Create and manage advanced prompt engineering frameworks, including chain-of-thought reasoning and enterprise-wide prompt governance systems
- Develop autonomous AI agents using Amazon Bedrock Agents, implementing complex reasoning patterns and tool integration capabilities
- Implement comprehensive AI safety and security controls, including content filtering, privacy preservation, and adversarial testing mechanisms
- Optimize performance and manage costs through token efficiency strategies, batching implementations, and intelligent caching systems
- Design and implement comprehensive monitoring and observability solutions for foundation model applications • Create systematic testing and validation frameworks for continuous quality assurance of AI applications • Integrate generative AI solutions within enterprise environments using secure, compliant, and scalable architectural patterns
Prerequisites
- AWS Technical Essentials
- Generative AI Essentials on AWS
- 2 or more years of experience building production grade applications on AWS or with opensource technologies, general AI/ML or data engineering experience
- 1 year of hands-on experience implementing generative AI solutions
Who Should Attend
- Software developers
- Technical Professionals

Advanced Generative AI on AWS Training Outline

Learning Objectives

Module 1: Foundation Model Selection and Configuration

Enterprise foundation model evaluation framework
Dynamic model selection architecture patterns
Resilient foundation model system designs
Cost optimization and economic modeling

Module 2: Advanced Data Processing for Foundation Models

Comprehensive data validation and quality assurance
Multi-modal data processing pipelines
Input optimization and performance enhancement

Module 3: Vector Databases and Retrieval Augmentation

Enterprise vector database architecture
Advanced document processing and chunking strategies
Sophisticated retrieval system implementation
Hands-on Lab: Develop Retrieval Augmented Generation (RAG) Applications with Amazon Bedrock Knowledge Bases

Module 4: Prompt Engineering and Governance

Advanced prompt engineering frameworks
Complex prompt orchestration systems
Enterprise prompt governance and management
Hands-on Lab: Develop conversation pattern with Amazon Bedrock APIs

Module 5: Agentic AI and Tool Integration

Agentic AI architecture and evolution
Amazon Bedrock Agents implementation
AWS Agentic AI service ecosystem
Tool integration and production observability

Module 6: AI Safety and Security

Comprehensive content safety implementation
Privacy-preserving AI architecture
AI governance and compliance frameworks

Module 7: Performance Optimization and Cost Management

Token efficiency and cost optimization
High-performance system architecture
Intelligent caching systems implementation
Hands-on Lab: Building Secure and Responsible Gen AI with Guardrails for Amazon Bedrock

Module 8: Monitoring and Observability for Generative AI

Foundation model monitoring systems
Business impact and value management
AI-specific troubleshooting and diagnostics

Module 9: Testing, Validation, and Continuous Improvement

Comprehensive AI evaluation frameworks
Quality assurance and continuous improvement
RAG system evaluation and optimization

Module 10: Enterprise Integration Patterns

Enterprise connectivity and integration architecture
Secure access and identity management • Cross-environment and hybrid deployments

Module 11: Course wrap-up

Next steps and additional resources
Course summary

Commercial Pricing

3-Day Instructor-Led Training
Official AWS Content led by AWS Authorized Instructors
Hands On Labs
After-Course Instructor Coaching Included
Attendance capped at 20 for each event. There are no wait-lists.
Only 2 attendees per organization.

Would you like to take this course as a team?

Guaranteed-to-Run - You can rest assured this class will not be canceled. Delivery format is subject to change – please call Customer Service if you have any questions.
Nov 18 - 20 10:00 AM - 5:30 PM EST

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Advanced Generative AI on AWS Training FAQs

The course focuses on advanced generative AI development using services such as Amazon Bedrock, Amazon SageMaker, and related AWS AI/ML capabilities. Participants explore foundation models, prompt engineering techniques, model customization, secure deployment architectures, and strategies for integrating generative AI into enterprise applications.

Yes. This is a lab-intensive course that combines instructor-led instruction with guided technical exercises. Participants design, build, and deploy generative AI solutions in AWS environments, gaining practical experience with model selection, inference optimization, governance controls, and performance tuning.

This is an advanced-level course intended for professionals who already understand core AWS services and basic machine learning concepts. Participants should be comfortable working with cloud architectures and APIs. The course moves beyond introductory generative AI topics to focus on solution design, model customization, performance optimization, and production deployment patterns.

Advanced Generative AI Development on AWS

Advanced Generative AI on AWS Training Delivery Methods

Advanced Generative AI on AWS Training Information

Advanced Generative AI on AWS Training Outline

Learning Objectives

FREE, Instructor-Led

Advanced Generative AI on AWS Training FAQs

What AWS services are covered in this course?

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