Azure Databricks is a cloud-scale platform for data analytics and machine learning. This course equips data scientists and machine learning engineers with the skills to implement scalable data processing and machine learning solutions using Azure Databricks. Participants will explore key concepts, including Apache Spark for data analytics, model training and tuning, AutoML, and MLflow for experiment tracking. The course emphasises data transformation, feature engineering, and model deployment. Through hands-on labs, learners will gain practical experience in building, training, and deploying models in a collaborative environment.



Prerequisites

Participants should have:

  • Experience using Python to explore data and train machine learning models.
  • Familiarity with common open-source frameworks such as Scikit-Learn, PyTorch, and TensorFlow.
  • Recommended: Completion of the Create machine learning models learning path before starting this course.

Target audience

This course is designed for:

  • Data scientists and machine learning engineers looking to scale their ML solutions.
  • AI and data professionals working with large-scale data analytics and processing.
  • Teams responsible for implementing machine learning workflows in Azure.

For corporate groups, we can organize this training as an on-site private group.
HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

What You Will Learn

By the end of this course, learners will be able to:

  • Describe the capabilities of Azure Databricks and its role in both data analytics and machine learning.
  • Use Apache Spark in Azure Databricks to process, transform, and analyse large-scale data.
  • Train and evaluate machine learning models within Azure Databricks.
  • Leverage MLflow for experiment tracking, model registration, and deployment.
  • Optimise hyperparameters using Hyperopt and review trial results.
  • Implement AutoML using both the Azure Databricks user interface and code-based approaches.
  • Manage machine learning workflows in production, including data automation, versioning, and deployment strategies.

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Build machine learning solutions using Azure Databricks in Denmark through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from Denmark or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Build machine learning solutions using Azure Databricks through face-to-face Classroom Based training in Denmark. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Build machine learning solutions using Azure Databricks in Denmark as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in Denmark or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!