Gemini in BigQuery for Data Practitioners Training in Qatar

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Level: Fundamentals
  • Price: From €1,500 +TAX
  • Upcoming Date:
  • UK & Türkiye Based Global Training Provider

This course provides practical guidance on using AI and machine learning models in BigQuery to perform generative AI tasks.

Participants work through a practical customer relationship management use case, following a step-by-step approach to developing solutions with SQL queries and Python notebooks. Throughout the course, learners explore Gemini capabilities within BigQuery across data exploration, preparation, code development, and AI/ML workflows.

The programme is designed to help data professionals understand how Gemini models can be used within BigQuery to address practical business problems and support more productive data workflows.

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

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

Prerequisites

Participants should have:

  • Previous programming experience with SQL and/or Python
  • Basic knowledge of machine learning
  • A foundational understanding of generative AI concepts

Who Should Attend

This course is suitable for:

  • Data analysts
  • Data engineers
  • Other data professionals who want to improve productivity using Gemini in BigQuery
  • Data practitioners looking to gain greater insight from unstructured data

What You Will Learn

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

  • Describe the Gemini in BigQuery features that support the data-to-AI pipeline
  • Explore data using Insights and Table Explorer
  • Develop code with assistance from Gemini
  • Discover and visualise workflows using Data Canvas
  • Explain the workflow for applying AI and machine learning models to predictive and generative tasks in BigQuery
  • Build solutions that use Gemini models in BigQuery through SQL queries and Jupyter Notebooks

Training Outline

1. Gemini in BigQuery

This module introduces Gemini and examines its role within Google Cloud and BigQuery.

  • Overview of Gemini on Google Cloud
  • Introduction to Gemini in BigQuery
  • Introduction to the course use case
  • Capabilities of Gemini across Google Cloud and BigQuery

2. Data Exploration and Preparation

This section explores the tools available for understanding and preparing data in BigQuery.

  • Data exploration and preparation tools
  • Working with Insights
  • Using Table Explorer
  • Benefits of Insights and Table Explorer
  • Restrictions and considerations associated with these features
  • Data cleaning capabilities in BigQuery
  • Data pipeline development features

3. Code Development with Gemini

This module focuses on using Gemini to support common code development activities.

  • Writing code with Gemini assistance
  • Using AI assistance during development
  • Troubleshooting with Gemini
  • Testing with Gemini
  • Prompting best practices

4. Data Canvas

This section introduces Data Canvas and explores how it can support workflow discovery and visualisation.

  • Introduction to Data Canvas
  • Core Data Canvas capabilities
  • Discovering workflows
  • Visualising workflows
  • Prompting best practices for Data Canvas

5. Working with Gemini Models in BigQuery

The final module explores how Gemini models can be incorporated into BigQuery workflows using its AI and machine learning capabilities.

  • BigQuery ML capabilities
  • Using Gemini within SQL queries
  • Working with Gemini models through Jupyter Notebooks
  • Applying AI and machine learning workflows to predictive and generative tasks

Why Choose Us

Experience Gemini in BigQuery for Data Practitioners in Qatar through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • 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 long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Qatar and worldwide, with flexible planning options for individual and corporate training needs.

Experience Gemini in BigQuery for Data Practitioners in a focused classroom environment in Qatar. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Gemini in BigQuery for Data Practitioners in Qatar solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

Gemini in BigQuery for Data Practitioners Training Course in Qatar Schedule

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.
14 September 2026 (1 Day)
Doha, Lusail
€1,500 +TAX
19 September 2026 (1 Day)
Doha, Lusail
€1,500 +TAX
30 September 2026 (1 Day)
Doha, Lusail
€1,500 +TAX

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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