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

  • 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 Qatar 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 April 2026 (1 Day)
Doha, Lusail
€1,365 +VAT
11 April 2026 (1 Day)
Doha, Lusail
€1,365 +VAT
18 April 2026 (1 Day)
Doha, Lusail
€1,365 +VAT
25 April 2026 (1 Day)
Doha, Lusail
€1,365 +VAT
23 May 2026 (1 Day)
Doha, Lusail
€1,365 +VAT
26 May 2026 (1 Day)
Doha, Lusail
€1,365 +VAT
06 June 2026 (1 Day)
Doha, Lusail
€1,365 +VAT
13 June 2026 (1 Day)
Doha, Lusail
€1,365 +VAT

Qatar is rapidly evolving into a sophisticated knowledge-based economy under the framework of 'Qatar National Vision 2030,' with Doha and the futuristic city of Lusail leading the charge in digital infrastructure investment. The nation hosts the renowned 'Education City,' bringing together top-tier international university campuses to foster local research in Artificial Intelligence, Cybersecurity, and Smart City technologies. Qatar’s strategic focus on digital sports technology and energy-sector ICT has positioned it as a regional leader in high-end technical innovation. Our educational frameworks in Qatar are meticulously aligned with these national goals, providing the professional workforce with essential skills in Data Analytics, Cloud Management, and IT Governance. We empower experts in Qatar to manage the massive digital projects that are defining the future of the Gulf region and the global energy market.

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