Building AI Apps with Azure Machine Learning and AI Services — PickAClass
4.2 (5) ⏱ 3h 📚 30 lessons 🎧 Audio version

Building AI Apps with Azure Machine Learning and AI Services

Integrate computer vision, natural language processing, intelligent bots, and custom machine learning models into your applications using Azure.

  • 💬 AI instructor
    Ask about any lesson and get a clear answer instantly, anytime.
  • 🕐 Start anytime
    No schedules or deadlines — learn at your own pace, whenever suits you.
  • 🌐 In English
    Lessons, tasks and certificate — all fully in your language.

About this course

Adding intelligent capabilities like facial recognition, optical character recognition (OCR), and conversational bots to your applications used to require a PhD in mathematics. Today, cloud-based AI services allow any developer to integrate sophisticated machine learning models with simple API calls. This course teaches you how to leverage Azure AI Services and Azure Machine Learning Studio to build smart, responsive applications. You will transition from understanding core machine learning concepts to reading and applying modern cloud AI workflows, enabling you to add features like automated content moderation, text extraction, and conversational agents to your developer toolkit. What you'll learn: - Understand the fundamental principles of machine learning, cloud-based AI, and responsible AI practices. - Configure and deploy Azure AI Vision services to perform optical character recognition (OCR), face detection, and image analysis. - Implement Azure AI Video Indexer to extract insights, keywords, and speech-to-text data from video files. - Build intelligent conversational interfaces using Azure Bot Service and language understanding tools. - Train and evaluate custom machine learning models using the visual interface of Azure Machine Learning Studio. - Integrate cloud AI APIs into Python applications using modern SDKs and secure authentication patterns. You will start with foundational cloud AI concepts and terminology before exploring hands-on text-based walkthroughs for computer vision, natural language, and custom model training. The curriculum progresses from simple pre-built APIs to designing workflows for custom predictive models. This course is designed for beginner developers, software engineers, and technology enthusiasts who want to incorporate AI into their projects without a deep background in data science. No prior machine learning experience is required. Start reading today to unlock the potential of cloud-hosted machine learning and build smarter applications.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • Short & focused
    3h of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

P
PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Building AI Apps with Azure Machine Learning and AI Services
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Building AI Apps with Azure Machine Learning and AI Services
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (5)

ชูชาติ ใจกล้า TH Verified learner
★ 3 · July 1, 2026

Pretty good introduction. The examples were helpful, but I wish there was a bit more practice material. Solid value for the cost.

Sofia Esposito IT Verified learner
★ 4 · June 24, 2026

This was a great learning experience. I picked up so many useful skills that I can apply immediately. The content delivery was top-notch.

Pēteris Lācis LV Verified learner
★ 5 · June 23, 2026

This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!

عبدالرحمن بن محمد الجنيبي OM Verified learner
★ 4 · June 12, 2026

Exceeded my expectations. The content flows logically, and the practice scenarios were incredibly helpful. Solid learning experience.

محمد عبدالله AE Verified learner
★ 5 · May 25, 2026

Couldn't have asked for a better learning experience. The structure flowed perfectly, and the examples were incredibly relevant. Highly recommend!

Write a review

You'll be asked to sign in after sending — your draft is saved.

Learners also took

Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

Built for learners in
Tech Design Finance Marketing Healthcare Education Hospitality Manufacturing