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Building Generative and Agentic AI Applications with Amazon Bedrock

Building Generative and Agentic AI Applications with Amazon Bedrock

34 Review(s) | Add Your Review

Master the art of building serverless AI workflows with Amazon Bedrock in this hands-on course. Learn the fundamentals of foundation models, model families, and their capabilities while exploring the architecture and core components of generative AI applications. Gain insights into fine-tuning models and leveraging Amazon Bedrock’s powerful features to create intelligent AI-driven solutions without complex coding.

This course also guides you in developing AI agents that integrate seamlessly with CRM services, customer support repositories, and automation tools. Learn how to configure, optimize, and secure AI workflows in the AWS console while implementing guardrails and performing real-time calculations. Whether you're a business professional, AI developer, or cloud architect, this course equips you with the skills to leverage Amazon Bedrock for AI-driven automation and innovation.

AWS Skill Builder

We are authorised AWS reseller of AWS Skill Builder. If you would like to subscribe to AWS Skill Builder, please register you interest here.

Certificate

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

Funding and Grant Applications

For WSQ funding, please checkout the details at WSQ - Building Generative AI Applications Using AWS Bedrock

Course Code: C196

Fee

$350.00 (GST-exclusive)

$381.50 (GST-inclusive)

The course fee listed above is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time *

Sponsorship

Self-Sponsored
Employer-Sponsored

No. of Participants

Additional Message

* Required Fields

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
Application Components

Topic 2: AI Workflow Using LangChain

Using LangChain
Building Pipelines with LangChain

Topic 3: Retrieval-Augmented Generation (RAG) and Agents

Using Knowledge Bases
Using Agents

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
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.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Dialogflow

Hardware: Windows and Mac Laptops

Job Roles

AI Solutions Architect
Cloud AI Developer
Amazon Bedrock Specialist
AI Automation Engineer
Serverless AI Developer
AI-powered Customer Service Specialist
AWS AI Engineer
AI Chatbot Developer
CRM AI Integration Specialist
AI Operations Manager
AI Strategy Consultant
AI Workflow Engineer
AI Researcher
Business Intelligence Analyst
AI-driven Marketing Specialist
Generative AI Application Developer
AI Compliance & Security Analyst
AI Innovation Manager

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

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.

Anil Bidari: Anil is a ACLP certified trainer. He is an Enterprise Cloud and DevOps Consultant , responsible for helping clients to move Virtual data centre to Private Cloud based on OpenStack and Public Cloud ( AWS, Azure and Google cloud) . Consulting and training experience on Devops tool chain like github , Jenkins, Sonarqube, Docker & kubernetes, Cloud foundry, Openshift, Ansible and SaltStack. Lot of my Role is involved design and implementation of a solution and training

Peter Cheong : Peter is a ACLP certied trainer. Specialise In IT related knowlege and conduct IT Training which Include Microsoft Window Server Technology (Wintel) and Linux - Centos/Red Hat. Comptia ,ITIL , Motorola Solution Trunking System and Cisco Networking. I was worked in Motorola Solutions Conduct Motorola Astro 25 Trunking System For Police Force Malaysia (RMPnet),Taiwan Navy, Indonesia METRO POLDA (Police Force). After that Peter Join As IT Group Manager For W-Group which include 17 subsidiaries Companies in Real Estate Developer,Plantation, Building Management Services ,Contruction and also Fiber Opti Service Provider in Sabah,Malaysia.

Ben Law Beng Tjin: Ben is an experienced IT Infrastructure professional with more than 20 years of working experience in IT sector. Due to Corporate Digital Transformation and COVID-19 during early 2020 he shifted his focus to Cloud Computing specialized in Cloud Infrastructure Solutioning. He is an AWS Certified Solution Architect Associate, Google Certified Cloud Engineer, Microsoft Certified Azure Fundamentals and Alibaba Cloud Associate.

Customer Reviews (34)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 8/31/2022)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

1 day is not enough to cover all material in this course for beginner, as there are many jargons used that is new to the beginner, at least minimum 2-days is required. It will be fantastic, as we can cover all material, and the beginner can understand the course better. (Posted on 10/21/2020)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 9/22/2020)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 9/22/2020)

will recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 7/20/2020)