CA flag CA
888-843-8733
888-843-8733

Advanced Generative AI Development on AWS

Course 1931

  • Duration: 3 days
  • Language: English
  • Level: Advanced

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 organisations 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 optimisation and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks.

Advanced Generative AI on AWS Training Delivery Methods

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Advanced Generative AI on AWS Training Information

In this course, you will: 

  • 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 optimisation 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
  • Optimise 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

Prerequisites

  • 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

    Who Should Attend

    • Software developers
    • Technical Professionals

    Advanced Generative AI on AWS Training Outline

    Module 1: Foundation Model Selection and Configuration

    • Enterprise foundation model evaluation framework
    • Dynamic model selection architecture patterns
    • Resilient foundation model system designs
    • Cost optimisation and economic modeling

    Module 2: Advanced Data Processing for Foundation Models

    • Comprehensive data validation and quality assurance
    • Multi-modal data processing pipelines
    • Input optimisation 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: 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 Optimisation and Cost Management

    • Token efficiency and cost optimisation
    • 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 optimisation

    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
    Select Commercial or Government Pricing

    $2,885

    • 3-Day Instructor-Led Training

    • Hands On Labs

    • After-Course Instructor-Coaching Included

    Would you like to take this course as a team?
    • Jun 3 - 5 9:00 AM - 4:30 PM EDT
      Herndon, VA or Virtual
    • Jul 15 - 17 9:00 AM - 4:30 PM EDT
      Ottawa or Virtual
    • Sep 2 - 4 9:00 AM - 4:30 PM EDT
      Herndon, VA or Virtual
    • Oct 14 - 16 9:00 AM - 4:30 PM EDT
      Ottawa or Virtual
    • Dec 2 - 4 9:00 AM - 4:30 PM EST
      Herndon, VA or Virtual
    • Jan 13 - 15 9:00 AM - 4:30 PM EST
      Ottawa or Virtual
    • Mar 3 - 5 9:00 AM - 4:30 PM EST
      Herndon, VA or Virtual

    $2,539

    • 3-Day Instructor-Led Training

    • Hands On Labs

    • After-Course Instructor-Coaching Included

    Would you like to take this course as a team?
    • Jun 3 - 5 9:00 AM - 4:30 PM EDT
      Herndon, VA or Virtual
    • Jul 15 - 17 9:00 AM - 4:30 PM EDT
      Ottawa or Virtual
    • Sep 2 - 4 9:00 AM - 4:30 PM EDT
      Herndon, VA or Virtual
    • Oct 14 - 16 9:00 AM - 4:30 PM EDT
      Ottawa or Virtual
    • Dec 2 - 4 9:00 AM - 4:30 PM EST
      Herndon, VA or Virtual
    • Jan 13 - 15 9:00 AM - 4:30 PM EST
      Ottawa or Virtual
    • Mar 3 - 5 9:00 AM - 4:30 PM EST
      Herndon, VA or Virtual
    Speak with a Learning Consultant
    * Required Fields
    Speak with a Learning Consultant

    Fill out the form below or call 888-843-8733

    * Required Fields

    Need Help Finding The Right Training Solution?

    Our training advisors are here for you.

    Contact Us

    Advanced Generative AI on AWS Training FAQs

    The course focuses on advanced generative AI development using services such as Amazon Bedrock, Amazon SageMaker, and related AWS AI/ML capabilities. Participants explore foundation models, prompt engineering techniques, model customisation, secure deployment architectures, and strategies for integrating generative AI into enterprise applications.

    Yes. This is a lab-intensive course that combines instructor-led instruction with guided technical exercises. Participants design, build, and deploy generative AI solutions in AWS environments, gaining practical experience with model selection, inference optimisation, governance controls, and performance tuning.

    This is an advanced-level course intended for professionals who already understand core AWS services and basic machine learning concepts. Participants should be comfortable working with cloud architectures and APIs. The course moves beyond introductory generative AI topics to focus on solution design, model customisation, performance optimisation, and production deployment patterns.

    Related Courses

    • AWS
      DevOps Engineering on AWS

      Learn DevOps Engineering on AWS & become an AWS Certified DevOps Engineer. Develop, deploy & maintain apps on AWS. Pass the official exam.

      Intermediate
      3 days
      Online or In-class
      Starts from $2,885
    • AWS
      Advanced Architecting on AWS

      This Advanced Architecting on AWS course covers how to build complex solutions & preps you for the AWS Certified Solutions Architect- Professional exam.

      Advanced
      3 days
      Online or In-class
      Starts from $2,885
    • AWS
      Building Advanced Agentic Systems on AWS

      Build production ready multi agent systems on AWS with hands on training in security, observability, and scalable agentic AI design.

      Advanced
      1 day
      Online or In-class
      Starts from $1,075