Training: Mastering Azure Data Factory - Design and Automate Your Cloud ETL Processes

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: PNG219
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering Azure Data Factory, your cloud ETL processes remain manual and vulnerable, generating recurring errors and massive waste.

  • Data engineers lose an average of 40% of their time on repetitive tasks, while Azure cost overruns from failing pipelines reach 50 000 € per year per team of 5 people.

  • 75% of critical data incidents – delays, leaks, or financial losses – stem from inadequate orchestration, exposing the company to GDPR penalties and loss of competitiveness.

  • Every month without smooth automation, your career and your business sink deeper into inefficiency against competitors who scale 3 times faster.

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

25,806 programs · 25 countries

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

Every program built with a dedicated engineer

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

Azure Data Factory training objectives

  • Understand the fundamental concepts of Azure Data Factory (ADF).
  • Create and configure complex data pipelines on Azure.
  • Master data integration, transformation, and orchestration methods in the cloud.
  • Automate and monitor ETL flows using ADF.
  • Secure and optimize the performance of data processing processes.

Azure Data Factory curriculum: 3 modules over 3 days

Module 1 : Introduction and Fundamentals of Data Integration

Presentation of the Azure cloud and Microsoft Data Platform ecosystem. Introduction to Azure Data Factory: concepts, architecture, use cases. Pipeline notions, datasets, linked services. Exploration of the ADF interface: studio, configuration options, project life cycles. First workshops: creating connections, importing test datasets, first simple pipelines.

Module 2 : Advanced Pipeline Design and Data Transfers

Native connectors: SQL, Blob Storage, Data Lake, SaaS (Salesforce, Dynamics…). Dynamic parameterization: variables, parameters, expressions. Creating data transformation workflows with Data Flows. Practical workshops: extraction, transformation, and loading (ETL) between different sources, error management, debugging, and real-time monitoring with the Azure Monitor tool.

Module 3 : Automation, Deployment, and Security

Trigger management and pipeline automation. DevOps practices: CI/CD cycles with Azure DevOps and version management. Flow security: authentication, RBAC authorizations, encryption, and data governance. Supervision and performance optimization. Synthesis workshops: complete ETL project deployment, monitoring dashboard, audit, and incident resolution.

How Azure Data Factory skills are assessed

  • Evaluation quizzes at the end of each day.
  • Validation of learning through the completion of a complete end-to-end project based on real scenarios.

How the Azure Data Factory course is taught

  • Alternating live demonstrations and practical workshops.
  • Study of concrete case studies from the professional sector.
  • Access to comprehensive pedagogical support and additional resources.

Azure Data Factory training: access and practical arrangements

The Training: Mastering Azure Data Factory - Design and Automate Your Cloud ETL Processes 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: Mastering Azure Data Factory - Design and Automate Your Cloud ETL Processes 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: Mastering Azure Data Factory - Design and Automate Your Cloud ETL Processes 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 Azure Data Factory 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

Azure Data Factory: frequently asked questions

What can participants do after Training: Mastering Azure Data Factory training?+
They can understand the fundamental concepts of Azure Data Factory (ADF), create and configure complex data pipelines on Azure and master data integration, transformation, and orchestration methods in the cloud. Those are the stated objectives of the Training: Mastering Azure Data Factory program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering Azure Data Factory program cover, day by day?+
Day 1: Introduction and Fundamentals of Data Integration. Day 2: Advanced Pipeline Design and Data Transfers. Day 3: Automation, Deployment, and Security. The Training: Mastering Azure Data Factory program runs over 3 days, delivered on site.
How is Training: Mastering Azure Data Factory training assessed?+
Assessment relies on evaluation quizzes at the end of each day and validation of learning through the completion of a complete end-to-end project based on real scenarios. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering Azure Data Factory program, which an L&D team can file as evidence.
How much does Training: Mastering Azure Data Factory training cost per participant?+
Training: Mastering Azure Data Factory training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 Training: Mastering Azure Data Factory training take?+
3 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 Training: Mastering Azure Data Factory 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 Training: Mastering Azure Data Factory training?+
Basic knowledge of databases and fundamental cloud concepts, ideally on Microsoft Azure.
Is a certificate issued after Training: Mastering Azure Data Factory 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 Training: Mastering Azure Data Factory 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.
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