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Building Generative AI Applications Using AWS Bedrock

Building Generative AI Applications Using AWS Bedrock

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This course is not yet approved for WSQ funding

This WSQ Building Generative AI Applications Using AWS Bedrock course equips learners with the skills to develop AI-powered applications using Amazon Bedrock and foundation models. Explore the architecture and core components of generative AI applications, including fine-tuning models and customization for specific use cases. Learn to utilize LangChain for efficient AI workflows, build pipelines, and apply best practices to optimize AI-powered solutions.

This course also covers advanced concepts such as Retrieval-Augmented Generation (RAG) and agent-based workflows. Participants will design, deploy, and evaluate RAG applications using Amazon Bedrock's knowledge bases and learn governance strategies for AI agents. By the end of the program, you will have the skills to implement, deploy, and troubleshoot generative AI systems effectively in real-world scenarios.

Learning Outcomes

By end of the course, learners should be able to:

LO1: Implement AI applications using AWS Bedrock and Foundation Models
LO2: Deploy AI workflows leveraging LangChain and machine learning techniques.
LO3: Identify and report issues in Retrieval-Augmented Generation (RAG) and AI Agents applications.

Course Brochure

TBD

Skills Framework

This course follows the guideline of Artificial Intelligence Application EGS-TEM-3026-1.1 under Engineering Services Skills Framework

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

Course Code: TPG-2025086933

Post-Course Support

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topic 1 Amazon Bedrock and Foundation Models

Introduction to Amazon Bedrock
Foundation Models
- Model Families and Capabilities
- Fine-Tuning and Customization
Application Components
- Core Building Blocks of a Generative AI Application
- Architecture Fundamentals

Topic 2 AI Workflow Using LangChain

LangChain Basics
Building Pipelines with LangChain
Best Practices and Optimization
Environment Setup
Building a LangChain Pipeline
Testing and Validation

Topic 3 Retrieval-Augmented Generation (RAG) and Agents

Explore Generative AI Use Cases Using Amazon Bedrock
Using Knowledge Bases
Build and Evaluate RAG Applications Using Amazon Bedrock Knowledge Bases
- RAG Concepts in Practice
- Implementation Steps
- Evaluation and Iteration
Using Agents
- Agent Overview
- Designing Agent-Based Workflows
- Governance and Control

Course Info

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.
Minimum 18 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Magneto

Hardware: Windows and Mac Laptops

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

Job Roles

AI Developer
Machine Learning Engineer
Generative AI Specialist
Cloud Engineer
Data Scientist
AI Solution Architect
AI Workflow Developer
RAG Application Specialist
AI Model Trainer
LangChain Developer
Software Engineer (AI Systems)
AI Project Manager
Knowledge Base Engineer
Foundation Model Specialist
AI Governance Consultant
AI Systems Tester
AI Integration Specialist
Cloud AI Engineer
Automation Engineer
Technical Consultant (AI Solutions)

Trainers

Quah Chee Yong: Quah Chee Yong is a ACTA certified trainer. Quah Chee Yong Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industriesA firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment

He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners

Teh Siew Yee: Teh Siew Yee is a seasoned leader in data science and digital transformation, with over 20 years of experience driving organisational strategy, talent development, and the design of data ecosystems across Asia Pacific and global markets. He has successfully led cross-geographical teams and collaborated with industry leaders from the US, UK, China, India, Japan, South Korea, Australia, and beyond, focusing on leveraging data to achieve business objectives and optimize operations.

With expertise spanning predictive modeling, machine learning, deep learning, and IoT, he has hands-on experience in data architecture, engineering, and analytics. He has also developed comprehensive training programs, equipping all levels of an organisation— from C-suite to working-level employees— with the skills needed for digital transformation. His industry experience covers sectors such as tech, education, finance, aerospace, and eCommerce, making him a sought-after expert in data-driven business strategy.

Agus Salim: Agus Salim is a professional with more than 10 years of experience in Project Management, IT Solutions Management, and Systems Integration both in waterfall and agile methodology. He started out his career as a Web Developer before moving on to Business Analyst/Project Manager. He has strong leadership and the capability of leading a team with a proven ability to deliver projects with tight timelines. Besides his experiences in managing projects, he has good knowledge in Cybersecurity and hands-on experience in Next Generation Firewall such as Check Point. During his free time, he likes to explore Cloud Technology, especially on Microsoft Azure. Agus has obtained AZ-104, AZ-500 and other Microsoft certifications. I am also a ALCP certified trainer.