Smart Analytics, Machine Learning, and AI on Google Cloud Training in Denmark

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From DKK 10,450 +TAX
  • Upcoming Date:
  • UK & Germany Based Global Training Provider

Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.



Prerequisites


Training Outline

Introduction to Analytics and AI
This modules talks about ML options on Google Cloud
  • Module introduction
  • What is AI?
  • From ad-hoc data analysis to data-driven decisions
  • Options for ML models on Google Cloud
  • QUIZ
Prebuilt ML Model APIs for Unstructured Data
This module focuses on using pre-built ML APIs on your unstructured data
  • Module introduction
  • Unstructured data is hard
  • ML APIs for enriching data
  • Lab Intro: Using the Natural Language API to Classify Unstructured Text
  • required
  • LAB: Using the Natural Language API to classify unstructured text: In this lab you’ll learn how to classify text into categories using the Natural Language API
  • QUIZ
Big Data Analytics with Notebooks
This module covers how to use Notebooks
  • Module introduction
  • What’s a Notebook?
  • BigQuery magic and ties to Pandas
  • Lab Intro: BigQuery in JupyterLab on Vertex AI
  • LAB: BigQuery in JupyterLab on Vertex AI 2.5: The purpose of this lab is to show learners how to instantiate a Jupyter notebook running on Google Cloud Platform's AI Platform service.
  • QUIZ
Production ML Pipelines
This module covers building custom ML models and introduces Vertex AI and TensorFlow Hub
  • Module introduction
  • Ways to do ML on Google Cloud
  • Vertex AI Pipelines
  • TensorFlow Hub
  • Lab Intro: Running Pipelines on Vertex AI
  • LAB: Running Pipelines on Vertex AI 2.5: In this lab, you learn how to utilize Vertex AI Pipelines to execute a simple Kubeflow Pipeline SDK derived ML Pipeline.
  • Summary
  • QUIZ
Custom Model Building with SQL in BigQuery ML
This module covers BigQuery ML
  • Module introduction
  • BigQuery ML for Quick Model Building
  • Supported models
  • Lab Intro: Predict Bike Trip Duration with a Regression Model in BigQuery ML 1 minute
  • LAB: Predict Bike Trip Duration with a Regression Model in BQML 2.5: In this lab you will use the London bicycles dataset to build a regression model in BQML to predict trip duration.
  • Lab Intro: Movie Recommendations in BigQuery ML
  • LAB: Movie Recommendations in BigQuery ML 2.5: In this lab you'll use the MovieLens dataset to build a collaborative filtering model and use it to make predictions.
  • Summary
  • QUIZ
Custom Model Building with AutoML
  • Module introduction
  • Why AutoML?
  • AutoML Vision
  • AutoML Natural Language Processing
  • AutoML Tables
  • Summary
  • QUIZ

Why Choose Us

Experience Smart Analytics, Machine Learning, and AI on Google Cloud 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 Smart Analytics, Machine Learning, and AI on Google Cloud 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 Smart Analytics, Machine Learning, and AI on Google Cloud 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!

Smart Analytics, Machine Learning, and AI on Google Cloud Training Course in Denmark Schedule

Join our public courses in our Denmark facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
03 oktober 2026 (1 Day)
Copenhagen, Aarhus, Odense
DKK 10,450 +TAX
05 oktober 2026 (1 Day)
Copenhagen, Aarhus, Odense
DKK 10,450 +TAX
08 oktober 2026 (1 Day)
Copenhagen, Aarhus, Odense
DKK 10,450 +TAX
13 oktober 2026 (1 Day)
Copenhagen, Aarhus, Odense
DKK 10,450 +TAX
02 november 2026 (1 Day)
Copenhagen, Aarhus, Odense
DKK 10,450 +TAX
12 november 2026 (1 Day)
Copenhagen, Aarhus, Odense
DKK 10,450 +TAX
17 november 2026 (1 Day)
Copenhagen, Aarhus, Odense
DKK 10,450 +TAX
21 november 2026 (1 Day)
Copenhagen, Aarhus, Odense
DKK 10,450 +TAX

Denmark consistently ranks as one of the most digitally advanced nations in the world, with Copenhagen and Aarhus serving as vibrant centers for green-tech and digital government solutions. The country’s commitment to digital transformation is backed by top-tier institutions like the Technical University of Denmark (DTU), which fosters innovation in sustainable energy software and biotechnology. Denmark’s business environment is highly digitized, requiring a workforce that is proficient in the latest enterprise solutions and cloud frameworks. Our training solutions in Denmark are focused on high-demand skills such as DevOps, Cyber Defense, and Agile management. We provide the expertise necessary for professionals to excel in a highly efficient, tech-driven economy that prioritizes innovation, sustainability, and digital integration.

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