Advanced Generative AI Development on AWS Training in Oman

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Level: Expert
  • Price: From €3,900 +TAX
  • Upcoming Date:

The Advanced Generative AI Development on AWS course is an intensive three-day instructor-led programme designed for experienced developers who want to build production-ready generative AI applications using AWS services. It focuses on helping organisations move beyond experimentation and successfully deploy enterprise-grade AI solutions that align with strategic business objectives.

Participants will gain practical experience across the complete generative AI development lifecycle, from selecting and deploying foundation models to integrating AI capabilities into enterprise environments. The course explores advanced topics including multimodal data processing, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, governance, autonomous AI agents, AI security, performance optimisation, monitoring, testing, and operational best practices.

Following AWS's recommended adoption framework, the programme guides learners through the journey from proof-of-concept projects to scalable, secure, and production-ready AI implementations.


This course includes practical use of the following AWS services:

  • Amazon Bedrock
  • Amazon OpenSearch Service

For corporate groups, we can organize this training as an on-site private group.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

Participants are recommended to have:

  • Completed AWS Technical Essentials or possess equivalent AWS knowledge
  • Completed Generative AI Essentials on AWS or have comparable experience
  • At least two years of experience developing production applications on AWS or using open-source technologies
  • General experience with artificial intelligence, machine learning, or data engineering
  • Approximately one year of hands-on experience implementing generative AI solutions

Who Should Attend

This course is intended for:

  • Software developers
  • Software engineers
  • Cloud application developers
  • Technical professionals
  • AI solution developers
  • Engineering teams building generative AI applications on AWS

What You Will Learn

By the end of this course, learners will be able to:

  • Develop enterprise-ready generative AI applications using AWS services that meet security, scalability, and reliability requirements.
  • Evaluate and select the most appropriate foundation models for different business scenarios.
  • Design highly available and resilient foundation model architectures.
  • Build advanced data processing pipelines for multimodal AI applications.
  • Implement Retrieval-Augmented Generation (RAG) solutions using Amazon Bedrock Knowledge Bases and Amazon OpenSearch Service.
  • Design enterprise prompt engineering frameworks and governance processes.
  • Develop autonomous AI agents using Amazon Bedrock AgentCore.
  • Apply AI safety, security, and responsible AI practices throughout application development.
  • Optimise AI application performance while controlling infrastructure and inference costs.
  • Implement monitoring, observability, testing, and validation strategies for production AI systems.
  • Integrate generative AI applications into enterprise environments using secure and scalable architectural patterns.

Training Outline

Module 1: Foundation Model Selection and Configuration

  • Comparing foundation models
  • Model evaluation criteria
  • Performance benchmarking
  • Model configuration techniques
  • Enterprise deployment considerations

Module 2: Advanced Data Processing for Foundation Models

  • Data preparation workflows
  • Processing multimodal data
  • Data validation techniques
  • Performance optimisation for AI data pipelines

Module 3: Vector Databases and Retrieval-Augmented Generation

  • Vector database architecture
  • Amazon Bedrock Knowledge Bases
  • Amazon OpenSearch Service
  • Hybrid retrieval strategies
  • Retrieval optimisation techniques

Hands-on Lab

Develop Retrieval-Augmented Generation (RAG) applications using Amazon Bedrock Knowledge Bases

Module 4: Prompt Engineering and Prompt Governance

  • Advanced prompt engineering techniques
  • Prompt lifecycle management
  • Enterprise prompt governance
  • Chain-of-Thought prompting strategies

Hands-on Lab

Develop advanced conversational workflows using Amazon Bedrock APIs

Module 5: Building Agentic AI Solutions with Amazon Bedrock AgentCore

  • Agent architecture
  • Autonomous AI agents
  • Tool integration
  • Multi-step reasoning workflows

Module 6: AI Safety and Security

  • AI security architecture
  • Content filtering
  • Privacy protection
  • Security controls
  • Adversarial testing
  • Responsible AI implementation

Hands-on Lab

Build secure and responsible generative AI applications using Amazon Bedrock Guardrails

Module 7: Performance Optimisation and Cost Management

  • Token optimisation strategies
  • Batch processing techniques
  • Intelligent caching
  • Performance tuning
  • AWS cost optimisation practices

Module 8: Monitoring and Observability for Generative AI

  • Monitoring AI applications
  • Performance metrics
  • Logging strategies
  • Observability best practices
  • Operational monitoring

Module 9: Testing, Validation, and Continuous Improvement

  • AI testing methodologies
  • Model validation
  • Quality assurance frameworks
  • Continuous evaluation
  • Performance analysis

Module 10: Enterprise Integration Patterns

  • Enterprise integration architectures
  • Secure AI integration approaches
  • Scalable deployment strategies
  • Compliance considerations
  • Integrating AI with microservices and enterprise platforms

Module 11: Course Review and Wrap-up

  • Review of key concepts
  • Best practices
  • Architecture recommendations
  • Final discussion and Q&A session


Hands-On Learning

Throughout the course, participants will:

  • Complete instructor-led demonstrations.
  • Perform practical labs using Amazon Bedrock.
  • Build Retrieval-Augmented Generation (RAG) solutions.
  • Develop autonomous AI agents.
  • Work through realistic enterprise implementation scenarios.
  • Participate in collaborative discussions and technical workshops.


Examination and Assessment

This course supports preparation for the:

AWS Certified Generative AI Developer – Professional (AIP-C01) certification.

The curriculum reinforces the knowledge and practical skills required to succeed in the certification exam and implement production-ready generative AI solutions using AWS.

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Advanced Generative AI Development on AWS in Oman through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • 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 professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from Oman or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Advanced Generative AI Development on AWS through face-to-face Classroom Based training in Oman. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Advanced Generative AI Development on AWS in Oman as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in Oman or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

Advanced Generative AI Development on AWS Training Course in Oman Schedule

Join our public courses in our Oman facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

For corporate groups, we can organize this training as an on-site private group.
13 October 2026 (3 Days)
Muscat
€3,900 +TAX
06 November 2026 (3 Days)
Muscat
€3,900 +TAX
10 November 2026 (3 Days)
Muscat
€3,900 +TAX
13 November 2026 (3 Days)
Muscat
€3,900 +TAX
19 November 2026 (3 Days)
Muscat
€3,900 +TAX
20 November 2026 (3 Days)
Muscat
€3,900 +TAX
24 November 2026 (3 Days)
Muscat
€3,900 +TAX
17 January 2027 (3 Days)
Muscat
€3,900 +TAX

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