Do I need technical knowledge to attend this training?

No advanced technical knowledge is required. The training explains AI and machine learning concepts from a foundational level. Basic computer skills and familiarity with data concepts are sufficient.

Which Google Cloud AI services are covered in this training?

The training covers services such as Vertex AI, AutoML, and Google Cloud AI APIs. Participants learn how these tools are used and how they can be applied to solve business problems.

How are AI and machine learning concepts explained?

The training explains AI and machine learning concepts from the basics with practical examples. Participants learn about approaches such as supervised and unsupervised learning and how they are applied in real-world scenarios.

How does this training benefit my career?

Participants gain an understanding of how AI and ML solutions can be integrated into business processes. They can contribute more effectively to data-driven decision-making, automation, and predictive analytics initiatives.

Are there hands-on exercises included in the training?

Yes, the training includes hands-on scenarios such as working with Google Cloud AI tools, building simple models, and analyzing datasets. Participants gain practical experience through real-world examples.

Is this training enough to start a career in AI?

This training provides a strong introduction to AI and machine learning. However, building an advanced AI career requires additional skills such as Python, data science, model development, and mathematical foundations.

Which career paths benefit from this training?

This training is valuable for roles such as Data Analyst, Business Analyst, entry-level AI/ML roles, product managers, and professionals working on AI-driven projects in Google Cloud environments.

Can you organize this training at our own office in Qatar, specifically tailored for our company?

Absolutely. We do not only host trainings at public centers; we can also conduct them directly at your premises across Qatar. We can customize the curriculum to meet your team's specific needs and organize the session at your preferred location and date within Qatar.

If I cannot attend in person in Qatar, do you offer online or hybrid participation options?

Yes, we prioritize location flexibility. We offer live-streaming (hybrid) support for most of our trainings, synchronized with the Qatar time zone. If you are unable to visit our location, you can join our physical classroom setting interactively via our digital platforms and participate in hands-on workshops remotely from anywhere in Qatar.

Introduction to AI and machine learning on Google Cloud Training Course in Qatar

Introduction to AI and Machine Learning on Google Cloud is a foundational training program designed for professionals who want to build artificial intelligence and machine learning solutions using Google Cloud technologies. The course introduces the complete Data-to-AI Lifecycle, helping learners understand how Google Cloud supports AI foundations, model development, deployment, and generative AI solutions.

Throughout the training, participants explore powerful Google Cloud services including Vertex AI, BigQuery ML, AutoML, Generative AI Studio, Model Garden, and various pre-trained AI APIs. The course demonstrates how to build, train, deploy, and manage machine learning models while leveraging Google’s advanced AI infrastructure.

This program is ideal for professionals seeking practical knowledge of Google Cloud's AI ecosystem and provides a strong foundation for developing scalable, production-ready machine learning and generative AI solutions.

For corporate groups, we can organize this training as an on-site private group.

Prerequisites

To gain maximum benefit from this course, participants should have:

Basic understanding of Machine Learning concepts
Familiarity with SQL
Basic Python programming knowledge
General awareness of cloud computing concepts (recommended)

Who Should Attend

This course is ideal for:

AI Developers
Machine Learning Engineers
Data Scientists
Data Engineers
Cloud professionals
Software developers building AI applications
Professionals interested in Google Cloud AI solutions

What You Will Learn

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

Identify Google Cloud's key AI and ML services.
Understand the complete Data-to-AI lifecycle.
Select the most appropriate AI development approach.
Build machine learning models using Vertex AI.
Create models directly in data warehouses using BigQuery ML.
Develop ML solutions with AutoML.
Integrate pre-trained AI APIs into applications.
Build generative AI solutions using Google Cloud tools.
Understand MLOps practices and workflow automation.

Training Outline

AI Foundations

Google Cloud AI Ecosystem

Introduction to Google Cloud
Google's AI strategy and innovation
Cloud-based AI solutions
Data-driven AI approaches

AI/ML Framework on Google Cloud

Google Cloud AI architecture
Data and AI services
Machine learning lifecycle
Google Cloud AI platforms

Google Cloud Infrastructure

Cloud infrastructure fundamentals
Scalable AI environments
Security and performance considerations

Data and AI Products

Google Cloud data services
AI and analytics tools
Integrated data management solutions

ML Model Categories

Supervised learning
Unsupervised learning
Deep learning
Predictive modeling approaches

BigQuery ML

BigQuery ML
SQL-based machine learning
Building models directly in BigQuery
Analytics and prediction use cases

AI Development Options

AI Development Approaches

Types of AI projects
Development strategies
Solution selection considerations

Pre-trained APIs

Pre-trained AI services
Vision APIs
Natural Language Processing APIs
Speech and translation services

Vertex AI

Vertex AI
End-to-end AI platform
Model training and deployment
Enterprise AI development workflows

AutoML

AutoML
No-code machine learning
Automated model building
Training optimization

Custom Training

Custom model development
Advanced training techniques
Specialized ML use cases

AI Development Workflow

How Machine Learning Works

Machine learning fundamentals
Learning mechanisms
Data and algorithm relationships

ML Workflow

Problem definition
Data preparation
Model development
Evaluation processes
Production deployment

Data Preparation

Data collection
Data cleaning
Data transformation
Feature engineering

Model Development

Model selection
Training methodologies
Performance optimization

Model Serving

Model deployment
API integration
Real-time inference

MLOps and Workflow Automation

MLOps
Continuous integration
Continuous deployment
Model lifecycle management

Generative AI

Generative AI Fundamentals

Generative AI
Large Language Models (LLMs)
Foundation Models
Prompt Engineering

Duet AI Use Cases

Duet AI
AI-assisted productivity solutions
Intelligent workflow automation

Model Garden

Model Garden
Pre-built AI models
Foundation model access
Model selection strategies

Generative AI Studio

Generative AI Studio
Prompt development
Model testing environments
Generative AI application development

AI Solutions

Enterprise AI solutions
Conversational AI
Content generation
Intelligent automation systems

Hands-On Labs

BigQuery ML Lab

Building ML models with SQL
Data analytics exercises

Natural Language API Lab

NLP service implementation
Text analytics applications

AutoML Lab

No-code model development
Training and evaluation workflows

Generative AI Studio Lab

Prompt engineering exercises
Generative AI solution development

Why Choose Us

Leading UK-based global training provider since 1995.

Experience Introduction to AI and machine learning on Google Cloud in Qatar 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 Qatar or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Introduction to AI and machine learning on Google Cloud through face-to-face Classroom Based training in Qatar. 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 Introduction to AI and machine learning on Google Cloud in Qatar 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 Qatar or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.

Introduction to AI and machine learning on Google Cloud Training in Qatar