AWS Advanced CLR LRG
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Advanced Generative AI Development on AWS

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...

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$2,190 USD
Duration 3 days
Course Code AWS-ADV-GENAI
Available Formats Classroom

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.

Skills Gained

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 foundation model systems with circuit breakers, cross-region deployment, and 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
  • Explain components of Agentic AI frameworks and Amazon Bedrock AgentCore
  • 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

Who Can Benefit

This course is intended for those with:

  • Software developers
  • Technical Professionals

Prerequisites

We recommend that attendees of this course have:

  • 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

Course Details

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: Implementing Agentic AI Frameworks with Amazon Bedrock AgentCore

  • Agentic AI Frameworks
  • Amazon Bedrock AgentCore

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

Schedule

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

The training was great . But i expected some of the Networking concepts would be covered in this certification .

Good training material and good instruction. More time needs to be provided for the lab work.

Topics, material and specially instructor (Graham Godfrey) was beyond my expectations.

I like their training. A lot of material covered. The labs are very good. l learned a lot.

I was very pleased with the course setup by ExitCertified and the instructor.