Extract insights from visual data on Azure Training in Canada

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From CAD 1,300 +TAX
  • Upcoming Date:
  • UK & Canada Based Global Training Provider

Visual data is becoming a critical asset for modern organisations. This course explores how to build intelligent applications that can interpret, analyse, and reason over images and documents using Azure AI services and multimodal models.

We believe organisations that can combine data, AI, and cloud technologies will unlock faster and more accurate decision-making. This course focuses on applying multimodal and agent-based AI patterns to extract structured insights from visual inputs and integrate them into real-world workflows. Learners will gain practical experience in designing solutions that combine visual understanding with language models, enabling applications that move from perception to action within Azure environments.



Prerequisites

Participants should have:

  • Basic programming experience in a language such as Python
  • A general understanding of cloud computing or artificial intelligence concepts
  • Familiarity with data handling and application development workflows is beneficial
  • No prior experience in computer vision is required

Target audience

This course is designed for:

  • Developers building intelligent and data-driven applications
  • AI engineers working with multimodal and generative AI solutions
  • Technical professionals implementing Azure-based AI services
  • Teams looking to integrate visual data into decision-making workflows

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

What You Will Learn

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

  • Build applications that analyse and reason over visual data using Azure AI services
  • Combine image and document inputs with language models for enhanced understanding
  • Implement multimodal and agent-based workflows for AI applications
  • Extract structured information from images and documents
  • Design pipelines that ground AI responses in visual and document context
  • Apply design patterns for orchestrating tools and services in Azure AI solutions

Training Outline

Introduction to visual and multimodal AI

  • Overview of visual AI and its role in modern applications
  • Understanding multimodal models and their capabilities
  • Key use cases for image and document intelligence
  • Challenges in processing and interpreting visual data

Working with Azure AI services for visual data

  • Introduction to Azure AI vision and document intelligence services
  • Processing images and extracting metadata
  • Analysing documents for structured and unstructured information
  • Integrating visual services into application workflows

Multimodal models for images and documents

  • Combining visual and language inputs in AI systems
  • Understanding embeddings for multimodal data
  • Enhancing context through cross-modal reasoning
  • Use cases for multimodal generative AI applications

Structured information extraction from visual inputs

  • Techniques for extracting entities and key-value pairs from documents
  • Processing forms, receipts, and structured layouts
  • Handling unstructured visual data sources
  • Improving accuracy through preprocessing and validation

Grounding AI responses in visual data

  • Principles of grounding in multimodal AI systems
  • Linking model outputs to visual context
  • Reducing hallucinations through grounded responses
  • Designing systems that maintain traceability to source data

Agent-based orchestration for visual workflows

  • Introduction to agent-based AI patterns
  • Orchestrating tools and services for visual data processing
  • Designing workflows that combine reasoning and action
  • Integrating APIs and external tools into AI pipelines

Designing decision-making workflows using visual data

  • Building end-to-end pipelines for insight extraction
  • Connecting visual analysis to business decision processes
  • Automating actions based on extracted insights
  • Monitoring and improving workflow performance over time

Exams and assessments

There are no formal exams included in this course. Learners will complete interactive knowledge checks and practical exercises to reinforce their understanding of multimodal AI concepts and visual data processing techniques.

Hands-on learning

This course includes:

  • Guided labs using Azure AI services for image and document analysis
  • Practical exercises in multimodal model integration
  • Scenario-based tasks focused on real-world visual data challenges
  • Instructor-led discussions on designing production-ready AI workflows

Why Choose Us

Experience Extract insights from visual data on Azure in Canada 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 Canada or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Extract insights from visual data on Azure through face-to-face Classroom Based training in Canada. 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 Extract insights from visual data on Azure in Canada 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 Canada or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
Contact us for more detail about our trainings and for all other enquiries!

Extract insights from visual data on Azure Training Course in Canada Schedule

Join our public courses in our Canada 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.
06 October 2026 (1 Day)
Toronto, Vancouver, Montreal, Ottawa
CAD 1,300 +TAX
11 November 2026 (1 Day)
Toronto, Vancouver, Montreal, Ottawa
CAD 1,300 +TAX
17 November 2026 (1 Day)
Toronto, Vancouver, Montreal, Ottawa
CAD 1,300 +TAX
24 November 2026 (1 Day)
Toronto, Vancouver, Montreal, Ottawa
CAD 1,300 +TAX
30 November 2026 (1 Day)
Toronto, Vancouver, Montreal, Ottawa
CAD 1,300 +TAX
03 December 2026 (1 Day)
Toronto, Vancouver, Montreal, Ottawa
CAD 1,300 +TAX
12 January 2027 (1 Day)
Toronto, Vancouver, Montreal, Ottawa
CAD 1,300 +TAX
01 April 2027 (1 Day)
Toronto, Vancouver, Montreal, Ottawa
CAD 1,300 +TAX

Canada has emerged as a global powerhouse for Artificial Intelligence and deep tech, with Toronto, Vancouver, and Montreal leading the charge as international innovation hubs. The country’s commitment to tech-driven economic growth is supported by world-class institutions like the University of Toronto and Waterloo, attracting top talent from across the globe. From the gaming industry in Montreal to the cloud-computing boom in British Columbia, Canada offers a diverse and stable environment for professional development. Our training solutions in Canada focus on equipping the workforce with high-demand skills in DevOps, Data Science, and Enterprise Architecture. We help professionals stay ahead of the curve in a nation that consistently ranks at the top for digital readiness and technological investment.

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