+49 (911) 80 10 30

Give us a call or have us call you back!

Simply leave a message with your callback appointment

Your Name *

Your phone number *

Callback date *

Callback time *

Your request *

In order to process your request, it is necessary to process the data you provide. This means that by submitting the contact form, you consent to your data being processed (see Privacy Policy). You can object to the processing of your data at any time.

* All fields marked with an asterisk are mandatory fields.
Send a message

Your Name *

Your email *

Your phone number

Your request *

In order to process your request, it is necessary to process the data you provide. This means that by submitting the contact form, you consent to your data being processed (see Privacy Policy). You can object to the processing of your data at any time.*

* All fields marked with an asterisk are mandatory fields.
Social Media

Share page

AW331: Advanced Generative AI Development on AWS™ NEW

AWS™ - Cloud - Artificial Intelligence

The course is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS™. The training 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.

Appointment selection

Appointments in English language (0)


Unfortunately there are currently no available appointments. Would you like to request an appointment? Then click on 'No matching appointment?'

Possible course languages: German

Request prefered appointment period:

Your Name *

Your email *

Your phone number

Preferred period from *

Preferred period to *

Number of participants *

Your message

* All fields marked with an asterisk are mandatory fields.

Unfortunately there are currently no available appointments.
Would you like to request an appointment? Then click on 'No matching appointment?'

Request prefered appointment period:

Your Name *

Your email *

Your phone number

Preferred period from *

Preferred period to *

Number of participants *

Your message

* All fields marked with an asterisk are mandatory fields.

Agenda:

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

Advanced Data Processing for Foundation Models

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

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

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

Agentic AI and Tool Integration

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

AI Safety and Security

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

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

Monitoring and Observability for Generative AI

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

Testing, Validation, and Continuous Improvement

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

Enterprise Integration Patterns

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

Course wrap-up

Next steps and additional resources
Course summary

Objectives:

In the course AW331 Advanced Generative AI Development on AWS™, you will learn to:

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

Target audience:

This course AW331 Advanced Generative AI Development on AWS™ is intended for those with:

Software developers
Technical Professionals

Prerequisites:

To participate in the training AW331 Advanced Generative AI Development on AWS™, you should have attended the following courses beforehand:

We additionally recommend the following prerequisites:

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

Description:

The 3-day instructor-led training AW331 Advanced Generative AI Development on AWS™ 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.
The course structure follows AWS™'s proven model for generative AI adoption, progressing from experimentation to production-ready implementations.

This course includes presentations, hands-on labs, demonstrations, and group exercises.