Training Amazon Q - Optimizing Data Analysis with AI

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: AOP431
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that don't master Amazon Q lose an average of 25% productivity on data analysis.

  • Equipped competitors cut their reporting timelines in half and make faster decisions.

  • Analysts without these skills see their employability drop amid growing automation.

  • Not training today means risking falling behind in the Business Intelligence market.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

40,860 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Amazon Q training objectives

  • Master Amazon Q to accelerate professional data analyses
  • Develop skills in AI-assisted Business Intelligence
  • Design intelligent dashboards with Amazon Q, Power BI and Tableau
  • Implement data-driven workflows within the company
  • Optimize reporting processes and certified decision-making
  • Train teams in the productive use of Amazon Q in real-world contexts

Amazon Q curriculum: 4 modules over 4 days

Module 1 : Theme: Amazon Q for data exploration (AWS connection, natural language queries, exports to Power BI)

Participants discover Amazon Q in an AWS environment, formulate natural language questions on enterprise datasets and generate rapid insights. They connect sources, perform guided explorations, export results to Power BI and Tableau, then complete practical exercises on real-world reporting cases.

Module 2 : Theme: Amazon Q and BI modeling (semantic model creation, automated calculations, Tableau integration)

The day focuses on Amazon Q-assisted modeling. Learners create semantic models, generate DAX measures and calculations, then integrate them into Tableau. Practical workshops enable comparison of manual and AI-assisted approaches on professional Business Intelligence scenarios.

Module 3 : Theme: Amazon Q for advanced dashboards (dynamic visualizations, data storytelling, Power BI collaboration)

Trainees design interactive dashboards with Amazon Q, enrich visualizations and automate comments. They work on real use cases, share reports in Power BI Service and optimize visual storytelling for enterprise decision-makers.

Module 4 : Theme: Amazon Q in production (workflow automation, data governance, certified deliverables)

The final day covers enterprise deployment. Participants automate flows with Amazon Q, implement governance rules and produce a complete deliverable integrating Power BI, Tableau and AWS. A final project validates acquired skills.

How Amazon Q skills are assessed

  • Knowledge validation quiz at the end of each day
  • Final practical project evaluated by the trainer
  • Certificate of professional training

How the Amazon Q course is taught

  • Access to an LMS platform with session replays
  • Corrected exercises and provided datasets
  • Downloadable course materials
  • Post-training support community

Amazon Q training: access and practical arrangements

The Training Amazon Q - Optimizing Data Analysis with AI program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Amazon Q - Optimizing Data Analysis with AI program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Amazon Q - Optimizing Data Analysis with AI program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your Amazon Q training

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Amazon Q: frequently asked questions

Which tools are used in Amazon Q training?+
Hands-on work runs on AWS connection, natural language queries, exports to Power BI, semantic model creation, automated calculations and tableau integration. Those tools come from the Amazon Q program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Amazon Q training?+
They can master Amazon Q to accelerate professional data analyses, develop skills in AI-assisted Business Intelligence and design intelligent dashboards with Amazon Q, Power BI and Tableau. Those are the stated objectives of the Amazon Q program at Intermediate level, checked by the end-of-session assessment.
What does the Amazon Q program cover, day by day?+
Day 1: Theme: Amazon Q for data exploration (AWS connection, natural language queries, exports to Power BI). Day 2: Theme: Amazon Q and BI modeling (semantic model creation, automated calculations, Tableau integration). Day 3: Theme: Amazon Q for advanced dashboards (dynamic visualizations, data storytelling, Power BI collaboration). Day 4: Theme: Amazon Q in production (workflow automation, data governance, certified deliverables). The Amazon Q program runs over 4 days, delivered on site.
How is Amazon Q training assessed?+
Assessment relies on knowledge validation quiz at the end of each day, final practical project evaluated by the trainer and certificate of professional training. Learni issues a completion certificate together with the individual assessment report at the end of the Amazon Q program, which an L&D team can file as evidence.
How much does Amazon Q training cost per participant?+
Amazon Q training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Amazon Q training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Amazon Q training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Amazon Q training?+
Intermediate knowledge in data analysis, experience with Power BI or Tableau, and familiarity with AWS cloud environments.
Is a certificate issued after Amazon Q training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Amazon Q training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere

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