Advanced Generative AI Development on AWS

Price
$2,025.00 USD

Duration
3 Days

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

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.

The course structure follows AWS's proven model for generative AI adoption, progressing from experimentation to production-ready implementations.

Course Objectives

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 pattern

Who Should Attend?

Software developers
Technical Professionals

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course 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

Agenda

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

Module 4: Prompt Engineering and Governance

Advanced prompt engineering frameworks
Complex prompt orchestration systems
Enterprise prompt governance and management

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

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We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.

CourseID: 3606328E

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