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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

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What You'll Learn

  • 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 Should Attend

  • Software developers
  • Technical Professionals
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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

Learning Journey

Coming Soon...

Day 1

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

Day 2

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

Day 3

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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Frequently Asked Questions (FAQs)

  • Why get AWS certified?

    AWS certifications validate your expertise in cloud computing and your proficiency in using AWS services.

    These certifications are globally recognized and highly sought after by employers, as they demonstrate your ability to design, deploy, and manage scalable and secure cloud solutions on the AWS platform.

    AWS-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    AWS offers a variety of certification exams at different levels (Foundational, Associate, Professional, and Specialty) covering various domains and services.

    The exams typically consist of multiple-choice and multiple-response questions, and some may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by AWS from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is AWS certification valid for?

    AWS certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the exam or completing the AWS Cloud Quest game-based training (if option is applicable).

    Note: Certification requirements and policies may be updated by AWS from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

Keep Exploring

Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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