Training AWS Lake Formation - Governing Data Lake Access

Specialist course · Minimum level required

$4,620

  • 4 days
  • in-person
  • 10 people max.
Ref: CBT178
10 people max.
$4,620
In-company rate: from $7,865 for the whole teamAWS, Azure or OVH infrastructure: from $158 / day extra
On-site and certification exam on quote
4 days
in-person

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

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

41,113 programs · 25 countries

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

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

AWS Lake training objectives

  • Master AWS Lake Formation to centralize access governance to a data lake at the column and row level in a professional context.
  • Deploy fine-grained filtering by business role on columns, rows and cells without scattering policies.
  • Tag data and manage permissions by labels rather than individual resources.
  • Configure data sharing across AWS accounts without physical duplication of datasets.
  • Implement comprehensive access auditing with traceability of queries on terabytes of data.
  • Optimize lake architectures for real-world volumes and billing linked to data scans.

Program

AWS Lake curriculum: 4 modules over 4 days

Module 1 : Centralization of Permissions (AWS Lake Formation, IAM)

Analysis of a large and disorganized data lake. Configuration of Lake Formation as the single governance point. Creation of business roles and mapping of scattered existing permissions. Exercises on real datasets with billing per terabyte scanned. Deliverables: centralized permission matrix and initial audit report.

Module 2 : Column and Row Filtering (Lake Formation, Glue)

Implementation of column, row and cell-level filters according to roles. Application on messy and massive data. Testing of Athena queries with dynamic access control. Real-world business cases with high volume. Deliverables: operational filtering policies and validation scripts.

Module 3 : Tagging and Cross-Account Sharing (Lake Formation, RAM)

Definition of semantic tags and label-based access rules. Configuration of secure sharing between accounts without data copying. Management of costs related to scans on shared data. Practical workshops on multi-account environments. Deliverables: tag catalog and documented sharing process.

Module 4 : Audit and Optimization (CloudTrail, Lake Formation)

Implementation of comprehensive access auditing with timestamped traceability. Analysis of logs on real datasets. Query optimization to reduce cloud costs. Review of operational governance best practices. Deliverables: audit dashboard and continuous improvement plan.

How AWS Lake skills are assessed

  • Multiple-choice quizzes to validate concepts after each day
  • Final practical exercise on a real business case
  • Group review of deliverables produced during the training

How the AWS Lake course is taught

  • Short theoretical inputs followed by practical exercises
  • Hands-on work with large and messy datasets
  • Experience sharing among participants
  • Course materials and online resources after the training

AWS Lake training: access and practical arrangements

The Training AWS Lake Formation - Governing Data Lake Access 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 AWS Lake Formation - Governing Data Lake Access 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 AWS Lake Formation - Governing Data Lake Access 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 AWS Lake 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

AWS Lake: frequently asked questions

Which tools are used in AWS Lake Formation training?+
Hands-on work runs on AWS Lake Formation, IAM, lake Formation, glue, RAM and cloudTrail. Those tools come from the AWS Lake Formation program itself, delivered in-person over 4 days, so participants practise on the stack they will use at work.
What can participants do after AWS Lake Formation training?+
They can master AWS Lake Formation to centralize access governance to a data lake at the column and row level in a professional context, deploy fine-grained filtering by business role on columns, rows and cells without scattering policies and tag data and manage permissions by labels rather than individual resources. Those are the stated objectives of the AWS Lake Formation program at Advanced level, checked by the end-of-session assessment.
What does the AWS Lake Formation program cover, day by day?+
Day 1: Centralization of Permissions (AWS Lake Formation, IAM). Day 2: Column and Row Filtering (Lake Formation, Glue). Day 3: Tagging and Cross-Account Sharing (Lake Formation, RAM). Day 4: Audit and Optimization (CloudTrail, Lake Formation). The AWS Lake Formation program runs over 4 days, delivered in-person.
How is AWS Lake Formation training assessed?+
Assessment relies on multiple-choice quizzes to validate concepts after each day, final practical exercise on a real business case and group review of deliverables produced during the training. Learni issues a completion certificate together with the individual assessment report at the end of the AWS Lake Formation program, which an L&D team can file as evidence.
How much does AWS Lake Formation training cost per participant?+
AWS Lake Formation 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. AWS, Azure or OVH infrastructure is extra, from $158 per day. 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 AWS Lake Formation 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 AWS Lake Formation 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 AWS Lake Formation training?+
Confirmed experience with AWS S3 and IAM, hands-on practice with production data lakes, mastery of SQL queries on raw data and knowledge of GDPR compliance issues.
Is a certificate issued after AWS Lake Formation 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 AWS Lake Formation 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

Let's build your AWS Lake learning path.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

AWS Lake training in your city

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks