Advanced Generative AI Development on AWS Training in Global

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Price: Please contact for booking options
  • UK Based Global Training Provider

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

We can organize this training at your preferred date and location. Contact Us!

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

Who Should Attend

This course is intended for:

  • Software developers
  • Technical Professionals

What You Will Learn

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

Training 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

Why Choose Us

Experience Advanced Generative AI Development on AWS in Global through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Global and worldwide, with flexible planning options for individual and corporate training needs.

Experience Advanced Generative AI Development on AWS in a focused classroom environment in Global. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Advanced Generative AI Development on AWS in Global solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.


Contact us for more detail about our trainings and for all other enquiries!

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