Developing Generative AI Applications on AWS Training in Singapore

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 2 Days
  • Level: Intermediate
  • Price: From SGD 4,300 +TAX
  • Upcoming Date:
  • UK & Singapore Based Global Training Provider

The Developing Generative AI Applications on AWS Training course provides software developers with the knowledge and hands-on experience needed to design, build, and deploy modern Generative AI applications using AWS services and large language models.

Participants will learn how to leverage Amazon Bedrock, LangChain, and modern Large Language Models (LLMs) to create intelligent AI-powered applications. The course covers key concepts including Prompt Engineering, Foundation Models, Retrieval-Augmented Generation (RAG), application security, architecture design, and best practices for building production-ready generative AI solutions.

Through practical labs and real-world use cases, learners will gain experience developing chatbots, text summarisation solutions, question-answering systems, code generation applications, and other enterprise AI workloads while applying AWS best practices for scalability, security, and performance.


Prerequisites

Participants should have:

  • Completed AWS Technical Essentials
  • Intermediate proficiency in Python
  • Familiarity with AWS services
  • Basic understanding of cloud computing concepts

Who Should Attend

This course is designed for:

  • Software Developers
  • AI Application Developers
  • Machine Learning Engineers
  • Cloud Developers
  • Full Stack Developers
  • Data Engineers
  • Technical teams building generative AI applications
  • Professionals interested in Amazon Bedrock and LangChain

What You Will Learn

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

  • Explain the relationship between Generative AI and Machine Learning.
  • Identify business opportunities for generative AI solutions.
  • Assess and mitigate risks in AI projects.
  • Build AI applications using Amazon Bedrock.
  • Apply advanced Prompt Engineering techniques.
  • Develop AI workflows with LangChain.
  • Implement Retrieval-Augmented Generation (RAG) architectures.
  • Design secure and scalable AI applications.
  • Apply architecture patterns for a variety of AI use cases.

Training Outline

Day One

Module 1: Introduction to Generative AI – The Art of the Possible

  • Fundamentals of Machine Learning
  • Introduction to Generative AI
  • Understanding Large Language Models (LLMs)
  • Generative AI Use Cases
  • Business Opportunities and Value
  • Risks and Benefits of Generative AI

Module 2: Planning a Generative AI Project

  • AI Project Lifecycle
  • Requirements Analysis
  • Risk Assessment
  • Risk Mitigation Strategies
  • AI Governance Considerations

Module 3: Getting Started with Amazon Bedrock

  • Introduction to Amazon Bedrock
  • Foundation Models Overview
  • Using Bedrock within AWS Console
  • AI Service Integrations
  • Hands-On Demonstration

Module 4: Foundations of Prompt Engineering

  • Introduction to Prompt Engineering
  • Prompt Design Principles
  • Advanced Prompt Techniques
  • Prompt Security
  • Preventing Prompt Misuse
  • Bias Mitigation Strategies

Hands-On Exercise

  • Prompt Optimisation
  • Prompt Tuning
  • Bias Mitigation Techniques

Day Two

Module 5: Amazon Bedrock Application Components

  • Datasets
  • Embeddings
  • Vector Databases
  • Retrieval-Augmented Generation (RAG)
  • Application Security
  • AI Data Management

Module 6: Amazon Bedrock Foundation Models

  • Bedrock Foundation Models
  • Model Selection Strategies
  • Foundation Model Use Cases

Hands-On Lab

  • Zero-Shot Text Generation
  • Prompt-Based Content Generation

Module 7: Building Generative AI Applications with LangChain

  • LangChain Architecture
  • AWS Integration
  • LangChain Agents
  • Prompt Templates
  • Chat Models
  • Document Loaders

Hands-On Lab

  • Building Applications with LangChain
  • AI Workflow Design

Module 8: Generative AI Architecture Patterns

  • Enterprise AI Architectures
  • Scalable AI Solutions
  • Secure AI Design
  • AWS-Based Generative AI Architectures

Hands-On Scenarios

  • AI Chatbot Development
  • Text Summarisation
  • Question Answering Systems
  • Code Generation
  • End-to-End Application Development with Amazon Bedrock and LangChain

Why Choose Us

Experience Developing Generative AI Applications on AWS in Singapore 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 Singapore or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Developing Generative AI Applications on AWS through face-to-face Classroom Based training in Singapore. 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 Developing Generative AI Applications on AWS in Singapore 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 Singapore 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!

Developing Generative AI Applications on AWS Training Course in Singapore Schedule

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

We can organize this training at your preferred date and location.
06 October 2026 (2 Days)
Singapore
SGD 4,300 +TAX
24 October 2026 (2 Days)
Singapore
SGD 4,300 +TAX
07 November 2026 (2 Days)
Singapore
SGD 4,300 +TAX
08 November 2026 (2 Days)
Singapore
SGD 4,300 +TAX
12 November 2026 (2 Days)
Singapore
SGD 4,300 +TAX
15 November 2026 (2 Days)
Singapore
SGD 4,300 +TAX
24 November 2026 (2 Days)
Singapore
SGD 4,300 +TAX
09 December 2026 (2 Days)
Singapore
SGD 4,300 +TAX

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Singapore is widely recognized as Asia's leading 'Smart Nation,' serving as a global financial and technology powerhouse with unparalleled infrastructure for IT training and research. Strategically located in the heart of Southeast Asia, it acts as a magnet for international tech talent and investment, supported by the research prestige of the National University of Singapore (NUS) and Nanyang Technological University (NTU). The city-state is a world leader in Cybersecurity, Blockchain, and Data Science, fostering an environment where digital transformation is integrated into every level of society. Our training programs in Singapore are built for a workforce that demands the highest technical standards and strategic insight. We offer advanced certifications in AI, Cloud Engineering, and Digital Governance, ensuring that Singapore continues to set the global benchmark for technological sophistication and excellence in the modern digital era.

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