Arrow keys / Click to navigate

Developing Generative AI Applications on AWS

Jimmy R Silva

Sr Technical Trainer, AWS Singapore

👨‍🏫 Instructor

Jimmy R Silva

Sr Technical Trainer

Amazon Web Services, Singapore

🔗 LinkedIn Profile

🏢 Customer Spotlight: Singlife

Singapore's first fully cloud-native insurer (all-in on AWS) | 1M+ customers

🤖 AI Claims Assistant

Automate claims intake, document extraction, and faster resolution using RAG + Knowledge Bases

💬 Policy Q&A Chatbot

Customers ask about coverage, premiums, and benefits — answered instantly via Bedrock Agents

📄 Document Summarization

Summarize lengthy policy docs, medical reports, and compliance requirements

🛡️ Underwriting Copilot

AI assists underwriters with risk assessment, flagging anomalies, and recommending decisions

🔒 Compliance & Guardrails

PII redaction, content filtering, and regulatory compliance using Bedrock Guardrails

📊 Internal Knowledge Agent

Employees query internal playbooks, HR policies, and product guidelines via RAG

Source: Singlife completed all-in migration to AWS (2024) — first insurer in Singapore fully on cloud

Module 0: Introduction

Developing Generative AI Applications on AWS

Course Objectives

Develop generative AI applications using Amazon Bedrock
Design architecture patterns of generative AI applications
Configure Amazon Bedrock APIs to invoke foundation models (FMs) programmatically
Develop agentic AI applications by integrating Amazon Bedrock tools and open source frameworks
Build custom solutions with RAG and Amazon Bedrock Knowledge Bases
Integrate open source SDKs with Amazon Bedrock to build business solutions
Optimize model responses by applying prompt engineering techniques
Evaluate generative AI application components
Implement responsible AI practices to protect generative AI

Day 1 Agenda

Module 1: Exploring Components of Generative AI Applications on AWS
Module 2: Programming with Amazon Bedrock
Lab: Develop with Amazon Bedrock APIs
Lab: Develop Streaming Patterns with Amazon Bedrock APIs
Module 3: Prompt Engineering for Developers
Module 4: Using Amazon Bedrock APIs in Common Architectures
Lab: Develop Conversation Patterns with Amazon Bedrock APIs
Module 5: Customizing Generative AI Responses with RAG
Lab: Develop RAG Applications with Amazon Bedrock Knowledge Bases
Module 6: Integrating Open Source Frameworks with Amazon Bedrock
Lab: Develop a Gen AI Application Pattern Using Open Source Frameworks and Amazon Bedrock Knowledge Bases

Day 2 Agenda

Module 7: Evaluating Generative AI Application Components
Lab: Evaluating RAG Applications
Module 8: Implementing Responsible AI
Lab: Securing Generative AI Applications Using Bedrock Guardrails
Module 9: Using Tools and Agents in Generative AI Applications
Module 10: Developing Amazon Bedrock Agents
Lab: Developing Amazon Bedrock Agents Integrated with Knowledge Bases and Guardrails

Course Logistics

Topic	Details
Breaks and lunch	After Modules / 12pm–1pm
Security	Display your badges
Cell phones	Silent Mode

Course Prerequisites

Generative AI Essentials on AWS instructor-led course
Intermediate-level proficiency in Python
Familiarity with AWS Cloud

👋 Introduce Yourself

Name
What do you do day-to-day?
What do you want to get out of this class?
What is your experience level with ML? (1=non-experienced to 5=expert)
What is your experience level with AWS?
Share something personal

💬 Engagement

🗣️ Discussions and chat

🎯 Activities

🧪 Labs and demos

🔐 Sign-in for Access (Registration)

Go to: https://classrooms.aws.training
Choose the option to create or sign in with an AWS Builder ID
Sign in with the same email address used to register for this training

Direct link: https://us-east-1.student.classrooms.aws.training/class/ilt%23advsdhPUJiG9RyYUBFKDmJ

📖 Accessing Student and Lab Guides

After signing in, navigate the student portal to access your course materials, lab guides, and supplementary resources.

📚 Creating a VitalSource Account

Create account with email/password or sign in via SSO
Follow prompts to complete setup

📝 Registering for Access to Guides

Choose "other" from role choices
Provide first/last name, email, create password
Choose "create account"

📘 Course Guide Access

Course participant guide via eVantage Bookshelf (VitalSource)
Log in or create account
URL: https://evantage.gilmoreglobal.com

Get code from trainer to redeem your course guide access.

🖥️ Lab Requirements

Windows, macOS, or Linux (Ubuntu, SUSE, Red Hat)
Recommended browsers: Chrome, Firefox, Edge
Reliable internet connection (HTTPS)
Turn off ad and script blockers

Questions? 🙋

1 / 17