Accelerate your business intelligence skills with AWS Jam and Amazon Quick

Are you ready to move beyond theoretical business intelligence knowledge and gain the practical skills to deliver AI-powered analytics solutions? Getting from raw data to a business decision faster is the skill employers want most from BI hires today, and it takes more than classroom theory to build.

This is where AWS Jam comes in. AWS Jam offers hands-on challenges across many AWS domains. This experience focuses specifically on implementing AI-powered business intelligence solutions using Amazon Quick. You’ll work with production-grade tools, tackle realistic business problems, and build confidence in your ability to deliver analytics solutions that drive decisions.

In this post, we explore how our newest AWS Jam experience can transform your BI capabilities through a unique combination of structured challenges and practical application. You’ll discover the six real-world challenges you’ll tackle and learn how this experience can accelerate your career growth in business intelligence and AI-powered analytics.

Understanding AWS Jam

AWS Jam represents an innovative approach to cloud learning where participants immerse themselves in simulated, real-world scenarios within an AWS Management Console sandbox environment. It’s designed to help you develop practical Amazon Web Services (AWS) skills by solving open-ended problems using various AWS services. During each challenge, you’ll have access to clues that can guide you through difficult sections while encouraging exploration and experimentation.

The experience takes place in a controlled environment where you can safely test solutions and learn from the results. This hands-on approach helps bridge the gap between theoretical knowledge and practical application, so you can build confidence in implementing AWS solutions. The competitive element, complete with points and leaderboards, creates an engaging learning environment that enhances knowledge retention and problem-solving skills.

Introducing AWS Jam – Amazon Quick for AI-Powered Productivity and Business Intelligence

We’re excited to announce a new AWS Jam experience purpose-built for business intelligence professionals who want to harness the power of AI-driven analytics. AWS Jam – Amazon Quick for AI-Powered Productivity and Business Intelligence is a one-day, team-based, gamified experience that challenges participants to solve real-world BI scenarios using Amazon Quick.

This Jam covers the full spectrum of Amazon Quick capabilities — from data visualization and troubleshooting to conversational analytics, multi-source knowledge agents, and automated workflows. No coding is required. All tasks use the Amazon Quick interface, making this experience accessible to analysts and business professionals who want to leverage AI without writing code.

Six real-world challenges that mirror production environments

Let’s explore the six challenges that participants will tackle during in this AWS Jam experience:

• Challenge 1: Quick Sight Dilemma — A New Hire Business Intelligence Engineer’s High-Stakes Challenge puts participants in the shoes of a newly hired BI engineer tasked with delivering a dashboard under pressure. You’ll troubleshoot Amazon QuickSight sign-up errors, resolve data formatting issues that cause skipped rows, and master the process of generating embedded dashboard URLs for seamless integration. This challenge builds foundational skills in QuickSight account management, data preprocessing, and dashboard embedding techniques.
• Challenge 2: From Data to Dollars — Quick Chat to Become CoffeeMaster demonstrates the power of conversational analytics. Participants configure Amazon Quick to analyze coffee retail sales and customer data through natural language queries. You’ll join multiple datasets, create analysis topics for exploratory data analysis, and build visualizations through chat — transforming raw retail data into actionable business intelligence without writing a single line of code.
• Challenge 3: Quick Agent — UN Humanitarian Crisis elevates the experience into AI-powered knowledge management. Participants build multi-source knowledge agents that unify Amazon S3 documents with live data from a Model Context Protocol (MCP) server. You’ll deploy an intelligent briefing agent capable of answering complex analytical queries that span both historical reports and real-time crisis data — demonstrating how AI can deliver context-rich insights for critical decision-making under tight deadlines.
• Challenge 4: Lights Out, AI Steps In is the capstone experience, challenging teams to build an AI crisis command center using the features of Amazon Quick. You’ll connect enterprise data sources through Quick Index, build a custom chat agent with MCP action integrations that can dispatch field crews and publish alerts, visualize a live crisis on an Amazon Quick Sight dashboard, and wire up an Amazon Quick Flow that automates a multi-step operations runbook into a single click. This challenge demonstrates how non-technical teams can act on enterprise data instantly.
• Challenge 5: Amazon Quick Sight Debugging — A Business Intelligence Engineer Adventure focuses on the essential skill of troubleshooting. Participants work through creating an Amazon Quick account using API calls, configuring different editions, and resolving common errors related to account setup and Amazon S3 data source creation. These are the exact scenarios BI engineers encounter in production environments.
• Challenge 6: Quick Sight Quandary — Resolving Redshift and Athena Challenges rounds out the experience with advanced data source integration. Participants troubleshoot and resolve Amazon Redshift connection errors and Amazon Athena access issues in Amazon Quick Sight. You’ll apply best practices for configuring and securing data source connections — skills that are critical for any BI professional managing enterprise data pipelines.

Learning through competition

What makes AWS Jam distinctive is its focus on real-world scenarios in a team-based environment. As you work through each challenge, you’ll apply AWS best practices in a safe, controlled setting. This approach ensures that the skills you develop directly translate to your day-to-day work as a BI professional. The team-based format encourages collaboration and knowledge sharing — essential skills in professional environments.Completing this AWS Jam equips you with hands-on experience across the Amazon Quick suite, from foundational dashboard creation to AI-powered agents and automated workflows. You’ll gain practical problem-solving skills, deep familiarity with Amazon Quick services and best practices, and the confidence to implement AI-powered BI solutions at scale. This practical experience, combined with exposure to real-world scenarios, provides valuable expertise that employers seek in modern BI professionals.

Take the next step

Ready to advance your business intelligence career with AI-powered analytics? Visit AWS Jam – Amazon Quick for AI-Powered Productivity and Business Intelligence to view upcoming class dates and secure your spot. Join the growing community of BI professionals who are building their futures through hands-on experience with AWS Jam.

Additionally, follow the AWS Training and Certification Blog for our monthly course launch updates (published the last week of each month) and AWS Skill Builder for all the latest training offerings.