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Advanced Generative AI Development on AWS
- Categories:
- Cloud Artificial Intelligence
- Level:
- Expert
- Code:
- AMWSAGAIA
- Exam:
- Yes - Available separately
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.
AWS Services
Amazon Bedrock
Amazon OpenSearch Service
Prerequisites
We recommend that attendees of this course have:
- Attended AWS Technical Essentials
- Attended Generative AI Essentials on AWS
- Possess 2 or more years of experience building production grade applications on AWS or with open-source technologies, general AI/ML or data engineering experience
- Have 1 year of hands-on experience implementing generative AI solutions
Target Audience
This course is intended for:
- Software developers
- Technical Professionals
What's included
Select your preferred way to learn:
What is Virtual?
Live, instructor-led training delivered online
Interactive online sessions led by subject matter experts. Learners join live classes, take part in discussions, and complete practical exercises from any location, making it easy to fit collaborative learning into busy schedules.
If you prefer to connect to a course that is taking place in a physical classroom, you can choose our Remote Access option. .
Best for: Teams and individuals who want expert guidance, real-time collaboration, and flexible access.
What's included?
3 Days instructor led course
Exam included
6 month free access to QA learning platform
Free 6-Month Access: Learning Platform Discovery plan
Included FREE with every instructor‑led course
Get free guided access to the QA Learning Platform. Assess your skills, explore in-demand topics, and understand which areas to focus on.
Learn AI, Cloud, Data, and Leadership skills at your own pace.
Put skills into practice with hands-on Labs and Simulabs.
Validate knowledge and highlight gaps with skills assessments.
What is bespoke training?
Custom instructor-led training designed by QA to fit your needs
Tailored programmes built around your organisation’s goals, challenges, and skill levels. Delivered in the format that suits you to maximise relevance and impact.
Best for: Organisations and teams looking to target specific business priorities and capabilities with QA subject matter expertise.
Find out more about the course:
Learning outcomes
In this course, 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
Course outline
Module 1: Foundation Model Selection and Configuration
Module 2: Advanced Data Processing for Foundation Models
Module 3: Vector Databases and Retrieval Augmentation
- Hands-on Lab: Develop Retrieval Augmented Generation (RAG) Applications with Amazon Bedrock Knowledge Bases
Module 4: Prompt Engineering and Governance
Hands-on Lab: Develop conversation pattern with Amazon Bedrock APIs
Module 5: Implementing Agentic AI Frameworks with Amazon Bedrock AgentCore
Module 6: AI Safety and Security
- Hands-on Lab: Building Secure and Responsible Gen AI with Guardrails for Amazon Bedrock
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
Exams and Assessments
This course will help prepare you for the AWS Certified Generative AI Developer – Professional exam AIP-C01
Hands-On Learning
- Discussion based sessions
- Demos
- Hands-on labs
Good to know
Ready to book? Complete the form and a member of our team will be in touch shortly to discuss your options.
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What our customers are saying
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Supplier Relationship Manager, Co-op
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QA learner
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Cloud Engineer, Cognizant
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Cloud Portfolio Director - Cloud
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How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
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When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.