Training Mastering Azure Data Factory: Automation and Data Flow Management

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: FNV825
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 data flows remain vulnerable to manual errors and chronic delays.

  • On average, a company loses 75 000 € per year in wasted productivity and incident-correction costs from failing pipelines.

  • 65 % of cloud data breaches stem from inadequate orchestration, exposing your organization to GDPR fines up to 4 % of annual revenue and loss of customer trust.

  • Every month without advanced automation undermines your competitiveness and professional advancement against agile teams.

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

  • 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 and Microsoft.

Azure Data Factory training objectives

  • Understand the architecture and positioning of Azure Data Factory (ADF) within the Azure ecosystem
  • Master the creation, orchestration, and management of data pipelines
  • Set up secure connections to various on-premise and cloud data sources
  • Develop and deploy modern ETL flows with ADF
  • Monitor, oversee, and optimize data processing performance

Azure Data Factory curriculum: 3 modules over 3 days

Module 1 : Introduction to Azure Data Factory and Environment Preparation

General presentation of the Azure platform, positioning of ADF relative to other Azure Data services, vocabulary, use cases. Hands-on with the Azure portal, creation of a Data Factory service, exploration of the interface, key concepts: pipelines, datasets, linked services. Authentication and security in ADF, management of access to cloud and on-premise resources.

Module 2 : Creating and Orchestrating ETL Pipelines with ADF

Building initial pipelines: data movement activities (Copy Data), configuring datasets and linked services (Azure SQL, Blob Storage, SQL Server, REST API, etc.). Data transformations using Data Flow. Using triggers and scheduling pipelines. Handling variables, parameters, and expressions. Conditional management and logical branching in pipelines.

Module 3 : Deployment, Monitoring, and Best Practices

Deployment management strategies (ARM Templates, GitHub DevOps). Pipeline monitoring, error diagnostics, logs, and alerts. Performance optimization and execution cost control. Best practices for collaborative and maintainable development. End-to-end capstone exercise: automating a complete flow integrating multiple sources (on-premise/cloud), transformations, and loading.

How Azure Data Factory skills are assessed

  • Final MCQ covering ADF architecture, configuration, orchestration, and monitoring
  • Practical case to complete and present (creation of a pipeline orchestrating a multi-source flow)

How the Azure Data Factory course is taught

  • Interactive courses illustrated with live demonstrations
  • Guided hands-on exercises and mini-projects
  • Access to course materials and step-by-step tutorials

Azure Data Factory training: access and practical arrangements

The Training Mastering Azure Data Factory: Automation and Data Flow Management 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: Automation and Data Flow Management 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: Automation and Data Flow Management 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 Mastering Azure Data Factory: Automation and Data Flow Management training?+
They can understand the architecture and positioning of Azure Data Factory (ADF) within the Azure ecosystem, master the creation, orchestration, and management of data pipelines and set up secure connections to various on-premise and cloud data sources. Those are the stated objectives of the Mastering Azure Data Factory: Automation and Data Flow Management program at Intermediate level, checked by the end-of-session assessment.
What does the Mastering Azure Data Factory: Automation and Data Flow Management program cover, day by day?+
Day 1: Introduction to Azure Data Factory and Environment Preparation. Day 2: Creating and Orchestrating ETL Pipelines with ADF. Day 3: Deployment, Monitoring, and Best Practices. The Mastering Azure Data Factory: Automation and Data Flow Management program runs over 3 days, delivered on site.
How is Mastering Azure Data Factory: Automation and Data Flow Management training assessed?+
Assessment relies on final MCQ covering ADF architecture, configuration, orchestration, and monitoring and practical case to complete and present (creation of a pipeline orchestrating a multi-source flow). Learni issues a completion certificate together with the individual assessment report at the end of the Mastering Azure Data Factory: Automation and Data Flow Management program, which an L&D team can file as evidence.
How much does Mastering Azure Data Factory: Automation and Data Flow Management training cost per participant?+
Mastering Azure Data Factory: Automation and Data Flow Management 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 Mastering Azure Data Factory: Automation and Data Flow Management 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 Mastering Azure Data Factory: Automation and Data Flow Management 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 Mastering Azure Data Factory: Automation and Data Flow Management training?+
Basic knowledge of relational databases and fundamental cloud concepts (Azure ideally).
Is a certificate issued after Mastering Azure Data Factory: Automation and Data Flow Management 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 Mastering Azure Data Factory: Automation and Data Flow Management 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 Azure Data Factory 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

Azure Data Factory training in your city

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

Share in 2 clicks