Google Cloud Big Data and Machine Learning Fundamentals Training in Germany

  • Learn via: Classroom
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From €1,430+VAT
We can host this training at your preferred location. Contact us!

This course introduces the fundamentals of Google Cloud's big data and machine learning solutions. It focuses on the data-to-AI lifecycle, showcasing how to use Google Cloud's infrastructure to design and implement data pipelines and build machine learning models. Learners will explore tools like BigQuery, Dataflow, Pub/Sub, Vertex AI, and AutoML, gaining hands-on experience through labs and real-world scenarios.

To fully benefit from this course, learners should have:

  • A basic understanding of database query languages such as SQL.
  • Familiarity with data engineering workflows, including extract, transform, load (ETL) processes.
  • A conceptual grasp of machine learning models, particularly supervised and unsupervised learning.

Target Audience

This course is designed for:

  • Data analysts, data scientists, and business analysts beginning their journey with Google Cloud.
  • Individuals responsible for data processing pipeline design, machine learning model development, and data visualization.
  • Executives and IT decision-makers evaluating Google Cloud's big data and AI capabilities.

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

  • Identify the data-to-AI lifecycle and major big data and machine learning products in Google Cloud.
  • Design streaming data pipelines using Dataflow and Pub/Sub.
  • Analyse large datasets at scale with BigQuery and create machine learning models using BigQuery ML.
  • Explore various machine learning solutions on Google Cloud and implement workflows using Vertex AI and AutoML.

Module One: Introduction to big data and machine learning on Google Cloud

  • Overview of Google Cloud's infrastructure and data-to-AI lifecycle.
  • Key products supporting big data and AI.
  • Activities:
    • Lab: Exploring a BigQuery Public Dataset.
    • Quiz.

Module Two: Data engineering for streaming data

  • Managing streaming data with Pub/Sub and Dataflow.
  • Creating data visualizations with Looker and Data Studio.
  • Activities:
    • Lab: Building a streaming data pipeline for real-time dashboard creation.
    • Quiz.

Module Three: Big data analysis with BigQuery

  • BigQuery essentials for large-scale data storage and processing.
  • Introduction to BigQuery ML for custom machine learning models.
  • Activities:
    • Lab: Predicting visitor purchases using BigQuery ML.
    • Quiz.

Module Four: Machine learning options on Google Cloud

  • Overview of machine learning solutions available on Google Cloud.
  • Introduction to Vertex AI for unified ML project management.
  • Activities:
    • Quiz.

Module Five: Machine learning workflow with Vertex AI

  • Understanding the stages of a machine learning workflow: data preparation, model training, and deployment.
  • Practical application using Vertex AI and AutoML.
  • Activities:
    • Lab: Predicting loan risk using AutoML with Vertex AI.
    • Quiz.

Module Six: Course summary and additional resources

  • Review of key concepts and tools.
  • Guidance for continued learning in Google Cloud's big data and machine learning offerings.



Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

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

25 Januar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
05 Februar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
09 Februar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
25 Januar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
05 Februar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
02 März 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
09 Februar 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom
10 März 2025 (1 Day)
Berlin, Hamburg, Münih
Classroom / Virtual Classroom

Related Trainings

Google Cloud Big Data and Machine Learning Fundamentals Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.
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