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Course Schedule
| Date | Time | Price | Option |
|---|---|---|---|
| 04/13/2026 | 09:00 AM - 05:00 PM CT | $2,025.00 | |
| 06/15/2026 | 08:00 AM - 04:00 PM CT | $2,025.00 | |
| 08/17/2026 | 11:00 AM - 07:00 PM CT | $2,025.00 | |
| 10/19/2026 | 09:00 AM - 05:00 PM CT | $2,025.00 | |
| 12/14/2026 | 08:00 AM - 04:00 PM CT | $2,025.00 | |
| 04/21/2026 | 08:30 AM - 04:30 PM CT | $2,025.00 | |
| 06/23/2026 | 08:30 AM - 04:30 PM CT | $2,025.00 |
Overview
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.
Who should attend
- Software developers
- Technical Professionals
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
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 patterns
Outline: Advanced Generative AI Development on AWS (AGAID)
Day 1
Module 1: Foundation Model Selection and Configuration
Module 2: Advanced Data Processing for Foundation Models
Module 3: Vector Databases and Retrieval Augmentation
Day 2
Module 4: Prompt Engineering and Governance
Module 5: Implementing Agentic AI Frameworks with Amazon Bedrock AgentCore
Module 6: AI Safety and Security
Day 3
Module 7: Performance Optimization and Cost Management
Module 8: Monitoring and Observability for Generative AI
Module 9: Testing, Validation, and Continuous Improvement
Module 10: Enterprise Integration Patterns
Module 11: Course wrap-up
FAQ
What if I have to reschedule my class due to conflict?
Ten (10) business days’ notice is required to reschedule a class with no additional fees. Notify TOPTALENT LEARNING as soon as possible at 469-721-6100 or by written notification to info@toptalentlearning.com to avoid rescheduling penalties.
How do I enroll for this class?
Please contact our team at 469-721-6100; we will gladly guide you through the online purchasing process.
What happens once I purchase a class?
You will receive a receipt and an enrollment confirmation sent to the email you submitted at purchase. Your enrollment email will have instructions on how to access the class. Any additional questions our team is here to support you. Please call us at 469-721-6100.
What is your late policy?
If a student is 15 minutes late, they risk losing their seat to a standby student. If a student is 30 minutes late or more, they will need to reschedule. A no-show fee will apply. Retakes are enrolled on a stand-by basis. The student must supply previously issued courseware. Additional fees may apply.
What happens when I finish my class?
You will receive a ‘Certificate of Completion’ once you complete the class. If you purchased an exam voucher for the class, a team member from TOPTALENT LEARNING will reach out to discuss your readiness for the voucher and make arrangements to send it.