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

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From €1,365+VAT
  • Upcoming Date:
  • UK & Türkiye 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.

We can organize this training at your preferred date and location. Contact Us!

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 Bilginç IT Academy

At Bilginç IT Academy, we combine our strong presence in both the UK and Türkiye to deliver high-quality, practical training solutions for organizations worldwide.

International Presence with Local Expertise
With operations in the United Kingdom and Türkiye, we bring together global standards and local market understanding to deliver effective training experiences across regions.

Expert Instructors with Real-World Experience
Our courses are delivered by certified trainers with extensive industry experience, ensuring you gain practical knowledge that can be applied immediately.

Corporate-Focused Training Approach
We specialize in training corporate teams, tailoring our programs to meet your organization’s goals, technologies, and project requirements.

Flexible Training Delivery Worldwide
We offer classroom, virtual classroom, and onsite training options globally, tailored to your organization’s needs.

Hands-On, Practical Learning
Our training sessions include real-world scenarios, case studies, and interactive exercises to ensure lasting understanding and skill development.

Proven Track Record
With over 10 years of experience, we have successfully trained professionals from leading organizations across different industries and regions.


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

Avaible Training Dates

Join our public courses in our Greece 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.
10 Απριλίου 2026 (1 Day)
Athens, Thessaloniki
€1,365 +VAT
11 Απριλίου 2026 (1 Day)
Athens, Thessaloniki
€1,365 +VAT
18 Απριλίου 2026 (1 Day)
Athens, Thessaloniki
€1,365 +VAT
25 Απριλίου 2026 (1 Day)
Athens, Thessaloniki
€1,365 +VAT
23 Μαΐου 2026 (1 Day)
Athens, Thessaloniki
€1,365 +VAT
26 Μαΐου 2026 (1 Day)
Athens, Thessaloniki
€1,365 +VAT
06 Ιουνίου 2026 (1 Day)
Athens, Thessaloniki
€1,365 +VAT
13 Ιουνίου 2026 (1 Day)
Athens, Thessaloniki
€1,365 +VAT

Greece is experiencing a significant digital shift, with Athens and Thessaloniki becoming emerging centers for international tech investments and startup growth. Supported by world-class academic institutions such as the National Technical University of Athens, the country is focusing on modernizing its digital infrastructure and expanding its software development capabilities. Greece's strategic location makes it an important gateway for tech services between Europe and the Middle East, attracting global giants for data center and cloud projects. Our training programs in Greece focus on bridging the gap between academic theory and the practical demands of the modern tech market. By offering specialized courses in Web Development, Cloud Infrastructure, and AI, we empower Greek IT professionals to compete effectively on the global stage.

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