Turn business data, enterprise knowledge, and everyday tasks into insights and actions with Amazon Quick.

Amazon Quick brings AI-powered analytics, enterprise knowledge, research, and workflow automation into a unified workspace.

This hands-on course shows you how to visualize data with Quick Sight, organize information with Quick Spaces, create custom Chat Agents, conduct research, and automate repetitive work with Quick Flows.

  • Why get trained: Use Amazon Quick to analyze data, build dashboards, organize knowledge, create AI agents, conduct research, and automate workflows
  • Why it matters: AI-powered analytics and automation can help teams move faster from business information to insights, decisions, and action
  • Who should attend: Business analysts, data analysts, consultants, business users, AWS customers, and AWS Partners

Bring AI-powered analytics and automation into your daily work to spend less time navigating information and more time acting on what matters. HRD Corp Claimable.

Overview

This course is for business users, data analysts, and knowledge workers who want to learn about Amazon Quick, AWS’s AI-powered workspace.

You will learn how to use Quick to work more efficiently with data and enterprise information sources. You will learn how to navigate the Amazon Quick workspace and visualize and analyze data with Quick Sight.

You will also organize knowledge resources in Quick Spaces, build custom AI chat agents, and automate workflows with Quick Flows. Hands-on labs reinforce each major topic, giving you the practice needed to apply these skills in your organization.

This course includes presentations, hands-on labs, demonstrations, assessments, and group discussion.

Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2022-2025 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings.

Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.

Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

Skills Covered

In this course, you will learn to:

  • Navigate Amazon Quick and understand core capabilities across different tools
  • Create interactive dashboards and visualizations using Quick Sight to generate actionable business insights
  • Create and manage Spaces with appropriate data sources, permissions, and security controls for team collaboration
  • Build and deploy custom Chat Agents and Flows to automate repetitive tasks and enhance productivity
  • Conduct comprehensive research using the Research Agent across multiple data
    sources with proper source validation

Prerequisites

We recommend that attendees of this course have:

Target Audience

  • AWS Customers – Business Analysts, Data Analysts, Consultants and Business Users
  • AWS Partners

Course Curriculum

Module 1: Introduction to Amazon Quick

  • The agentic AI-powered workspace
  • Amazon Quick core capabilities
  • Navigating Amazon Quick

Module 2: Visualizing and Analyzing Data with Amazon Quick Sight

  • Introduction to AI-powered analytics with Amazon Quick Sight
  • Creating and managing datasets for analysis
  • Building interactive dashboards and visualizations
  • Understanding scenarios and data stories
  • Hands-On Lab: Exploring the Generative Business Intelligence Features in Amazon Quick Sight

Module 3: Amazon Quick Spaces and Chat Agents

  • Knowledge bases and connectors
  • Using Quick spaces for aggregating resources
  • Chat agents in Amazon Quick
  • Effective prompting techniques
  • Hands-On Lab: Create an HR agent with Amazon Quick

Module 4: Amazon Quick Flows and Research

  • Orchestrating agentic workflows with Quick Flows
  • Creating and running flows in Quick flows
  • Launching research projects with Quick Research
  • Hands-On Lab: Conducting Research and creating Flows with Amazon Quick

Dates & Locations

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September 8, 2026 - September 8, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800 RM 1500
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September 8, 2026 - September 8, 2026

Location: Kuala Lumpur
Modal: VILT
Availability: TBC
RM 1800 RM 1500
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October 6, 2026 - October 6, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800 RM 1500
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October 6, 2026 - October 6, 2026

Location: Kuala Lumpur
Modal: VILT
Availability: TBC
RM 1800 RM 1500
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November 17, 2026 - November 17, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800 RM 1500
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November 17, 2026 - November 17, 2026

Location: Kuala Lumpur
Modal: VILT
Availability: TBC
RM 1800 RM 1500
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December 8, 2026 - December 8, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800 RM 1500
PROMO

December 8, 2026 - December 8, 2026

Location: Kuala Lumpur
Modal: VILT
Availability: TBC
RM 1800 RM 1500
PROMO
Trainocate exam and cert

Exam & Certification

There is no exam directly associated with this course. However, AWS offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving AWS credentials is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our top AWS Certifications for 2026 and start building the skills that matter today.

Training & Certification Guide

AWS-BAC: Building Agentic AI with Amazon Bedrock AgentCore

In this course, you’ll learn how to advance your proof-of-concept agents to production-ready agentic AI solutions on AWS.

AWS-BAAS: Building Advanced Agentic Systems on AWS

In this course, you’ll learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering multi-agent patterns, context optimization techniques, security configurations, and monitoring frameworks.

AWS-BDL: Building Data Lakes on AWS

This intermediate-level course helps you explore the process of building a data lake manually and automatically.

AWS-BDAS: Building Data Analytics Solutions Using Amazon Redshift

Learn how to integrate Amazon Redshift with a data lake to support analytics and machine learning workloads to reduce your time to data insight by building a data analytics solution using Amazon Redshift.

 

Frequently Asked Questions

AWS-AQ: Amazon Quick for AI-Powered Productivity and Business Intelligence provides learners with the skills to

use Amazon Quick to analyze data, find enterprise information, conduct AI-assisted research, create AI agents, and automate everyday business workflows.

The course introduces Amazon Quick as AWS’s agentic AI-powered workspace and shows learners how to move from information and data to insights and actions.

You will work with Quick Sight for analytics and visualization, Quick Spaces and Chat Agents for enterprise knowledge, and Quick Flows and Quick Research for workflow automation and research.

Pro Tip: Approach this course with two or three repetitive tasks from your own role in mind, such as preparing reports, researching information, or analyzing business data. This will make it easier to identify practical Amazon Quick use cases during the labs.

Amazon Quick for AI-Powered Productivity and Business Intelligence is designed for business and data professionals who want to use generative and agentic AI for analytics, research, productivity, and workflow automation.

The course specifically targets AWS customers including Business Analysts, Data Analysts, Consultants and Business Users, as well as AWS Partners. It is fundamental-level training, so learners do not need a programming or data science background.

It is particularly relevant for professionals who regularly work with:

  • Business data and dashboards
  • Reports and presentations
  • Enterprise information and knowledge
  • Research-intensive tasks
  • Repetitive business processes

Pro Tip: You only need a basic understanding of cloud computing and familiarity with web applications, so this is a suitable entry point if you want practical AI skills without becoming an AI developer.

You will learn how to turn enterprise data and information into insights, research, AI-assisted answers, and automated business actions using Amazon Quick.

By completing the course, learners should be able to navigate Amazon Quick, build interactive Quick Sight dashboards, manage Quick Spaces, create custom Chat Agents, automate tasks through Quick Flows, and conduct multi-source research using Quick Research.

The course therefore develops capabilities across four practical areas:

  • business intelligence
  • enterprise knowledge
  • AI agents
  • workflow automation

Pro Tip: Do not focus only on dashboard creation. The biggest learning opportunity is understanding how analytics, enterprise knowledge, AI agents, and automation can work together within one business workflow.

AWS-AQ includes practical labs covering generative business intelligence, custom AI agents, AI-powered research, and workflow automation.

The course includes three significant hands-on activities:

  • Exploring generative BI features in Amazon Quick Sight
  • Creating an HR agent with Amazon Quick
  • Conducting research and creating Flows with Amazon Quick

The training also combines presentations, demonstrations, assessments, and group discussions with the hands-on exercises.

Pro Tip: Use the labs to understand the complete workflow rather than simply following the steps. Consider how you would substitute the sample data, HR use case, or research task with something from your own organization.

Traditional BI primarily helps you analyze and visualize data, while Amazon Quick combines business intelligence with AI-powered research, enterprise knowledge, agents, and workflow automation.

Quick Sight remains the BI component for datasets, visualizations, dashboards, and analytics. Amazon Quick extends that experience with Quick Research, Quick Flows, Quick Automate, Quick Index, AI chat, and other agentic capabilities. AWS describes this evolution as moving beyond BI toward an integrated workspace where users can progress from insight to action.

This distinction is central to the AWS-AQ course because learners are not trained only to create dashboards. They also learn how to use information, agents, research, and automated workflows.

Pro Tip: If you already use BI tools, pay attention to how Amazon Quick connects analysis with actions. This is where the course differs most from conventional dashboard-focused BI training.

No programming experience is required, but basic cloud knowledge and familiarity with web applications are recommended.

Trainocate lists only two recommended prerequisites:

  • Basic understanding of cloud computing concepts
  • Familiarity with web-based applications

The course itself is categorized as Fundamental, making it accessible to business users and analysts rather than being limited to developers or cloud engineers.

Pro Tip: If you are completely new to AWS, familiarize yourself with basic cloud terminology before attending. You can then spend more of the course concentrating on Amazon Quick’s AI and productivity capabilities.

Malaysian employers are increasingly seeking AI capabilities, making practical skills that combine AI with existing business roles more valuable.

PwC’s July 2026 Malaysia AI Jobs Barometer found that Malaysian job postings requiring AI-related skills have increased 7.4%. PwC also highlights a broader shift in which AI is redesigning how work is performed and increasing the value placed on AI-related capabilities.

AWS-AQ is particularly relevant to this shift because it does not require learners to become AI engineers. Instead, it teaches business users and analysts how to apply AI directly to data analysis, research, enterprise knowledge, decision-making, and workflow automation.

Pro Tip: Pair your existing domain expertise, whether in finance, HR, sales, operations, consulting, or analytics, with practical AI skills. Knowing the business problem and how to apply AI to it can be more valuable than learning AI in isolation.

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