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Training Azure Cognitive Services - Integrate AI into Your Professional Applications

Course created on July 27, 2026Updated on October 5, 2026

On quote$5,775

5 days
Onsite
10 people max.

Request a quote See the program

Ref: KJZ655

10 people max.

On quote$5,775

In-company rate: on quotefrom $10,395 for the whole team

On-site and certification exam on quote

5 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of Azure Cognitive Services, your teams lose 50% of their time on manual AI integration, with OCR or NLP error costs reaching 25% of e-commerce revenue.
In 2026, 68% of companies without cloud AI suffer 3x more customer incidents, widening a fatal competitive gap.
Recruiters reject 75% of profiles without Azure AI certification, risking career stagnation and millions in losses for the company.
Act now to convert these risks into lasting competitive advantages.

Trusted by — schools, companies and industrial groups

25,718 programs · 25 countries

Every program built with a dedicated engineer

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

Master Azure Cognitive Services to develop professional AI applications
Implement computer vision with Computer Vision in enterprise contexts
Develop advanced voice solutions via certifiable Speech Services
Design text analysis with Language Understanding for business gains
Optimize custom models via Custom Vision and secure deployment
Integrate Cognitive Services into DevOps pipelines for scalability
Acquire certifiable skills to enhance your AI expertise

Program

Module 1Azure Cognitive Services Fundamentals: Configuration and Key APIs (Azure Portal, SDK)

Dive into the Azure Cognitive Services ecosystem via the Azure portal, install SDKs for C# and Python, configure your first resources with secure authentication keys, explore the main APIs through practical exercises on object detection, and produce your first deliverable: an AI dashboard connected to an enterprise web app, with cost optimization and real-time monitoring.

Module 2Azure Cognitive Services Vision: Advanced Image and Video Analysis (Computer Vision, Custom Vision)

Master Computer Vision to extract OCR text, tags, and emotions from your media, train a Custom Vision model on real enterprise datasets, test live on concrete cases like product recognition in e-commerce, integrate via REST and SDK into a mobile application, generate precise visual analysis reports, and deploy a scalable prototype with iterative trainer feedback for immediate results.

Module 3Azure Cognitive Services Speech: Speech Recognition and Synthesis (Speech-to-Text, Text-to-Speech)

Transform audio into business value with Speech Services, transcribe speeches in real-time via integrated microphone, customize synthetic voices for virtual assistants, handle multilingual accents in professional cases like automated customer support, implement batch processing for enterprise podcasts, test robustness in noisy environments, and finalize a functional voice chatbot with high precision metrics.

Module 4Azure Cognitive Services Language: NLP for Intelligent Insights (LUIS, Text Analytics)

Leverage Text Analytics for sentiments, entities, and key phrases on massive customer feedback, design intents with LUIS for advanced conversational chatbots, integrate into Azure ML pipelines for contextual predictions, analyze enterprise surveys live, optimize models with fine-tuning on private data, produce insights visualizations via connected Power BI, and validate via A/B testing for measurable ROI.

Module 5Advanced Azure Cognitive Services: Custom Models and Production Deployment (Anomaly Detector, Security)

Advance to expertise with Anomaly Detector for proactive alerts on IoT data, hybridize services for multi-modal apps, secure via Azure AD and Key Vault, deploy in Docker containers on AKS, monitor performance with Application Insights, review your complete red thread project in a collective code review session, and leave with a certifiable portfolio ready for enterprise production.

Evaluation method

Quiz to validate acquired knowledge at the end of the training
Continuous evaluation through practical AI exercises
Presentation of the Azure Cognitive Services red thread project

Learning method

Courses led by a certified Azure expert trainer
Practical exercises on real enterprise AI cases
Progressive red thread project with Cognitive Services
Complete course materials and cloud resources provided

Methods, materials and delivery

The Training Azure Cognitive Services - Integrate AI into Your Professional Applications program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Azure Cognitive Services - Integrate AI into Your Professional Applications program, the following equipment is required:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, hands-on exercises and complementary resources
Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Azure Cognitive Services - Integrate AI into Your Professional Applications program is performed through:

During training: case studies, hands-on labs and professional scenarios
End of training: self-assessment questionnaire and skills evaluation by the trainer
After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

Triple validation: technical, pedagogical, sectoral.
Minimum rating 4.8/5 over the last 12 sessions.

Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

Live briefing on goals and team context.
Veto right — we swap the trainer for free if needed.

Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

Hands-on cases drawn from your stack and projects.
Program co-written then validated by your team.

Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

NPS, knowledge quizzes and skills self-assessment.
Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack

Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

Backpack, notebooks and essential supplies
Distributed through our partner charities
Included, at no extra cost to you

Enroll and offer a kit

FAQ

Frequently asked questions

Which tools are used in Azure Cognitive Services training?+

Hands-on work runs on azure Portal, SDK, computer Vision, custom Vision, speech-to-Text and text-to-Speech. Those tools come from the Azure Cognitive Services program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.

What can participants do after Azure Cognitive Services training?+

They can master Azure Cognitive Services to develop professional AI applications, implement computer vision with Computer Vision in enterprise contexts and develop advanced voice solutions via certifiable Speech Services. Those are the stated objectives of the Azure Cognitive Services program at Intermediate level, checked by the end-of-session assessment.

What does the Azure Cognitive Services program cover, day by day?+

Day 1: Azure Cognitive Services Fundamentals: Configuration and Key APIs (Azure Portal, SDK). Day 2: Azure Cognitive Services Vision: Advanced Image and Video Analysis (Computer Vision, Custom Vision). Day 3: Azure Cognitive Services Speech: Speech Recognition and Synthesis (Speech-to-Text, Text-to-Speech). Day 4: Azure Cognitive Services Language: NLP for Intelligent Insights (LUIS, Text Analytics). Day 5: Advanced Azure Cognitive Services: Custom Models and Production Deployment (Anomaly Detector, Security). The Azure Cognitive Services program runs over 5 days, delivered on site.

How is Azure Cognitive Services training assessed?+

Assessment relies on quiz to validate acquired knowledge at the end of the training, continuous evaluation through practical AI exercises and presentation of the Azure Cognitive Services red thread project. Learni issues a completion certificate together with the individual assessment report at the end of the Azure Cognitive Services program, which an L&D team can file as evidence.

How much does Azure Cognitive Services training cost per participant?+

Azure Cognitive Services training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.

How long does Azure Cognitive Services training take?+

5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.

Who pays for Azure Cognitive Services training?+

Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.

What do participants need to know before Azure Cognitive Services training?+

Knowledge of Azure Fundamentals, programming in C# or Python, basics of machine learning.

Is a certificate issued after Azure Cognitive Services training?+

Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.

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