Amazon Quick Suite — Agent Building for the Enterprise
capability building,
designed for your organisation.
A custom-built corporate programme for citizen developers, IT and digital-workplace teams, data and analytics teams, process owners in finance, operations, HR, sales, and marketing, solution architects, and AWS-aligned partner teams building Quick Suite practices. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- The Quick Suite stack: Custom Chat Agents, Quick Flows, Quick Automate, Quick Research, Quick Sight, Spaces, Quick Index
- Plans and tiers: Free, Plus, Professional, Enterprise — what's included where, and pricing implications
- When to use Quick Suite vs Amazon Bedrock vs Lambda vs traditional automation tooling
- Existing QuickSight customers: the upgrade path, what changes and what stays the same
Want the full module-by-module syllabus, sample assignments, and pricing?
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Demonstrable skills your team will apply on live projects.
Design and build Custom Chat Agents
Apply the three-layer framework — identity, instructions, knowledge — to configure role-specific chat agents that ground every answer in your enterprise data via Spaces and Quick Index.
Build Quick Flows and Quick Automate workflows
Author no-code Quick Flows for daily recurring tasks, and architect multi-agent Quick Automate workflows for complex enterprise processes with human-in-the-loop checkpoints.
Wire Quick Suite into your stack
Configure 50+ built-in connectors plus MCP and OpenAPI integrations to ground agents in SharePoint, Snowflake, Salesforce, ServiceNow, Slack, S3, Redshift and the rest of your data landscape.
Ship five production-ready agents per learner
Each learner leaves with a documented portfolio: a Custom Chat Agent, a Quick Flow, a Quick Automate workflow, a Quick Research brief, and a Quick Sight or AI-powered app asset.
Compress recurring multi-system processes
Documented time savings on customer onboarding, procurement, approval routing, weekly reporting, and research synthesis — measured pre/post with audit trails as evidence.
Establish team-wide agent governance
Cohort produces a shared agent library plus a safe-use, role-based access, and observability protocol the L&D and IT teams can roll out organisation-wide.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Has Quick Suite licences but uses them mostly for chat or BI — agents and automation are untouched
- ·No structured methodology for designing agents — relies on trial-and-error and ad-hoc prompts
- ·Builds individual Flows but can't graduate to multi-agent Quick Automate workflows
- ·Limited understanding of when to use Quick Flows vs Quick Automate vs Quick Research vs Quick Sight
- ·No awareness of connector economics — agent hours, research hours, index storage
- ·Cannot govern agents at scale — no role-based access, audit trails, or HITL discipline
Where they'll arrive
- ✓Three-layer agent design — applies identity / instructions / knowledge framework to ship Custom Chat Agents grounded in real Spaces
- ✓Multi-agent automation — designs Quick Automate workflows with HITL checkpoints, observability, and versioning
- ✓Connector and MCP fluency — wires Quick Suite into SharePoint, Snowflake, Salesforce, ServiceNow, Slack, S3, plus MCP and OpenAPI for the long tail
- ✓Tool selection discipline — chooses Flow vs Automate vs Research vs Sight by task type, not by habit
- ✓Cost-aware operations — tracks agent hours, research hours, and index storage; knows when to scale and when to optimise
- ✓Governance built in — role-based access, audit trails, HITL approval flows, and safe-use protocols on every published agent
Built for L&D outcomes, not seat counts.
Builder discipline, not click-tour learning
Learners move from clicking through demos to shipping production agents using AWS's recommended identity / instructions / knowledge framework.
A portfolio, not a certificate
Each learner leaves with five production-ready Quick Suite artifacts — Custom Chat Agents, Flows, Automate workflows, Research briefs, and Sight or app assets.
Business + IT in one cohort
Citizen developers and IT integrators learn side-by-side, so handoffs between business and IT become muscle memory, not a ticket queue.
Connector ecosystem fluency
Hands-on labs across SharePoint, Snowflake, Salesforce, ServiceNow, Slack, S3, plus MCP and OpenAPI patterns for the long tail of systems.
Governance built in from day one
Role-based access, audit trails, human-in-the-loop, and observability are practised across every lab — not bolted on at the end.
Sustainment built in
30, 60 and 90-day check-ins help learners keep pace as Quick Suite capabilities, connectors, and agent patterns evolve.
A four-milestone path from skill gap to client-ready.
Foundation & Workspace Setup
Establish a working mental model of Quick Suite, set up the cohort's accounts and Spaces, and run a baseline assessment to calibrate each learner's starting point across business and IT tracks.
Chat Agents & Flows Labs
Learners practise the three-layer agent framework on their own Spaces, then author Quick Flows for everyday recurring tasks — with real data, real connectors, and outputs each learner uses on Monday morning.
Quick Automate & Research Labs
Each learner builds at least one multi-agent Quick Automate workflow with human-in-the-loop checkpoints, plus a Quick Research investigation on a live business question. Pair-built and peer-reviewed inside the cohort.
Capstone, Governance & Sustainment
Learners demonstrate their five-agent portfolio, apply the governance playbook to each build, and continue with "agent of the month" reviews and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"Quick Suite isn't a tool to demo — it's a platform to ship on. My job is to make sure every learner leaves with a portfolio of agents their team is actually using on Monday morning, not a deck of screenshots."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Citizen developers and power users in business teams who want to build agents and automation
- ·IT, automation, and digital-workplace teams operationalising Quick Suite across the enterprise
- ·Data and analytics teams transitioning from QuickSight to the full Quick Suite agent stack
- ·Process owners in finance, operations, HR, sales, and marketing with recurring multi-system workflows
- ·Solution architects and AWS-aligned partner teams building Quick Suite practices
Pre-requisites
- ·No coding prerequisite for the business-builder track
- ·Familiarity with at least one enterprise SaaS tool such as Salesforce, Slack, SharePoint, or ServiceNow
- ·A working Amazon Quick account at any tier: Free, Plus, Professional, or Enterprise
- ·For the IT track: basic understanding of APIs, identity providers, and webhooks
- ·Enterprise cohorts should align data-handling and governance scope before learners use company or client information
Trusted by L&D leaders across the world.
"We had Quick Suite running for two months but no one knew what to do with it beyond chat. The programme gave our citizen developers a clear method — identity, instructions, knowledge — and now we have a real agent library."
"The Quick Automate labs were the unlock. Our procurement team moved a three-system, four-approval process into a single multi-agent workflow with human-in-the-loop checkpoints. The audit trail alone paid for the cohort."
"Governance was practical, not theoretical. Role-based access, Spaces permissions, observability — the team understood what to ship and what to flag for IT review before they hit publish."