IT Pro course Advanced level

Edge AI and On-Device Intelligence

Master Edge AI in 2026: quantization, pruning, distillation, LiteRT, ONNX Runtime, Core ML, ExecuTorch, TinyML, NPUs, on-device SLMs, federated learning, OTA.

Lessons
30in 10 modules
Duration
~25 hself-paced
Quiz
343questions
Level
Advancedfor practitioners
  • In English
  • Updated on
Free preview · lesson 1 · no account needed Why Edge AI Now in 2026 For a decade the default answer to "where does the model run" was simple: in the cloud. You collected data on a device, shipped it to a data centre, ran inference on a powerful server, and sent the answer back. Read the preview

What you will learn

The course’s skills. The same ones appear on your Certificate of Completion, so you can show what you covered.

  • Foundations: What Edge AI Is and Why It Matters in 2026
  • Model Compression: Making Models Fit the Edge
  • Edge AI Frameworks and Runtimes
  • Mobile AI: iOS and Android
  • TinyML and Microcontrollers
  • NPUs, Accelerators, and Edge Hardware
  • Small Language Models On-Device
  • Privacy-First Design and Federated Learning

About the course

A premium, hands-on course on Edge AI and on-device intelligence, updated for 2026. You will learn why intelligence is moving off the cloud and onto phones, microcontrollers, wearables and industrial gateways — driven by latency, cost, privacy and offline reliability — and how to actually ship it. You will master model compression (post-training and quantization-aware quantization, pruning and sparsity, knowledge distillation), the real runtimes (LiteRT / TensorFlow Lite, ONNX Runtime, Core ML, ExecuTorch, MediaPipe and llama.cpp), and mobile deployment on both Android and iOS. You will go all the way down to TinyML on microcontrollers, understand the edge hardware landscape (NPUs, Google Coral, NVIDIA Jetson), and run small language models such as Gemma, Phi and small Llama models directly on device. The course covers on-device inference optimization, privacy-first design and federated learning, over-the-air model updates, and edge monitoring, with real case studies across mobile, IoT and wearables. Every concept is paired with real, correct code, and privacy-by-design and GDPR obligations are treated as first-class engineering concerns. Includes a comprehensive final assessment.

Who it is for

For developers, engineers and technical professionals who build or integrate AI solutions. It belongs to MLOps & Deployment, on the IT Pro track.

What you need

Advanced level: assumes hands-on experience with AI in the course’s field.

Course curriculum

10 modules · 30 lessons · about 25 hours · 343 quiz questions

Read a free preview of lesson 1: “Why Edge AI Now in 2026” No account needed. See how a lesson is written before you pay.
  1. Module 1: Foundations: What Edge AI Is and Why It Matters in 2026

    4 lessons · 3 h 20 min · 44 questions
    1. Why Edge AI Now in 2026 Free preview of the lesson “Why Edge AI Now in 2026” 50 min 11 questions
    2. On-Device vs Cloud: The Real Tradeoffs 50 min 11 questions
    3. Hybrid Edge–Cloud Architectures and Fallback Design 50 min 11 questions
    4. Privacy-by-Design and the Legal Case for Edge 50 min 11 questions
  2. Module 2: Model Compression: Making Models Fit the Edge

    4 lessons · 3 h 20 min · 44 questions
    1. Quantization: From FP32 to INT8 and Below 50 min 11 questions
    2. Advanced Quantization: INT4, Mixed Precision, and QAT at Low Bits 50 min 11 questions
    3. Pruning and Sparsity 50 min 11 questions
    4. Knowledge Distillation 50 min 11 questions
  3. Module 3: Edge AI Frameworks and Runtimes

    3 lessons · 2 h 30 min · 33 questions
    1. LiteRT and the TensorFlow Lite Lineage 50 min 11 questions
    2. ONNX Runtime: Portable Cross-Framework Inference 50 min 11 questions
    3. Core ML, ExecuTorch, and MediaPipe 50 min 11 questions
  4. Module 4: Mobile AI: iOS and Android

    3 lessons · 2 h 30 min · 33 questions
    1. On-Device AI on Android 50 min 11 questions
    2. On-Device AI on iOS 50 min 11 questions
    3. Mobile AI Performance and UX Patterns 50 min 11 questions
  5. Module 5: TinyML and Microcontrollers

    3 lessons · 2 h 30 min · 33 questions
    1. TinyML Fundamentals 50 min 11 questions
    2. Deploying Models on Microcontrollers 50 min 11 questions
    3. Embedded Vision and Audio Intelligence at the Edge 50 min 11 questions
  6. Module 6: NPUs, Accelerators, and Edge Hardware

    3 lessons · 2 h 30 min · 33 questions
    1. The Edge Hardware Landscape: NPUs, Coral, and Jetson 50 min 11 questions
    2. Optimizing Inference for Accelerators 50 min 11 questions
    3. Benchmarking and Profiling Edge AI Workloads 50 min 11 questions
  7. Module 7: Small Language Models On-Device

    3 lessons · 2 h 30 min · 33 questions
    1. Small Language Models: Gemma, Phi, and Llama on Device 50 min 11 questions
    2. Running SLMs with llama.cpp and Quantized Formats 50 min 11 questions
    3. On-Device LLM Inference Optimization 50 min 11 questions
  8. Module 8: Privacy-First Design and Federated Learning

    2 lessons · 1 h 40 min · 22 questions
    1. Federated Learning 50 min 11 questions
    2. Differential Privacy and On-Device Model Security 50 min 11 questions
  9. Module 9: Deployment, OTA Updates, and Monitoring

    4 lessons · 3 h 20 min · 44 questions
    1. Packaging and Over-the-Air Model Updates 50 min 11 questions
    2. Monitoring and Observability on the Edge 50 min 11 questions
    3. Safety-Critical Edge AI: Automotive, Medical, and Industrial 50 min 11 questions
    4. Case Studies: Mobile, IoT, and Wearables 50 min 11 questions
  10. Module 10: Final Quiz — Edge AI and On-Device Intelligence

    1 lesson · 55 min · 24 questions
    1. Final Assessment — Edge AI and On-Device Intelligence 55 min 24 questions
By email

Email me the course syllabus

Modules and lessons in order, plus the link to the preview of lesson 1 — so you can decide at your own pace.

How you learn

You read the lesson, ask the AI Professor right on the page and check what you remember.

Why Edge AI Now in 2026

For a decade the default answer to "where does the model run" was simple: in the cloud. You collected data on a device, shipped it to a data centre, ran inference on a powerful server, and sent the answer back.

The AI Professor bar that appears in the lesson under the selected passage, with the actions “Explain this to me”, “Give me an example”, “Why does it matter?” and “My own question”
The first lines of lesson 1 of this course. Read the free preview, no account needed.
  1. You read the lesson at your own pace

    Written lessons, with examples and exercises. Your progress is saved automatically, so you can pick up where you left off.

  2. You ask the AI Professor inside the lesson

    Select a passage and it explains it, gives you an example or tells you why it matters. You can type or talk to it, in English.

  3. You check what you remember

    Every lesson has its own quiz, with explanations for the answers: 343 questions across the course. The professor also summarizes the lesson and prepares review flashcards.

  4. You get the Certificate of Completion

    Once you complete the lessons and reach the minimum quiz score, you issue it from your account, with a unique number, publicly verifiable.

The AI Professor is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms. See how the AI Professor works.

You leave with proof anyone can check

The Certificate of Completion for “Edge AI and On-Device Intelligence”: a private attestation with a unique number and a QR code. A recruiter confirms it is authentic on the public verification page, with no account and no cost.

Example of a Cursuri AI Certificate of Completion with sample data: the serial number and the issue date in the top-right corner, the holder’s name, the course, the tier awarded, the percentage of lessons, the average score, the study time, the course version, the issuer and the verification QR code
The real document, an A4 PDF, shown here with sample data. Yours carries your name, the course “Edge AI and On-Device Intelligence”, the serial number, the issue date and the tier you earned; the QR code in the image is decorative.
  • Anyone can verify it

    Public verification page, QR code and cryptographic fingerprint, with no account for the person checking.

  • You show it where it counts

    Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.

  • It says exactly what it attests

    The course, the tier you earned (Pass, Merit or Distinction), the serial number and the issue date, plus the percentage of lessons completed.

Verify a certificate
Pricing

Just this course or the whole IT Pro track

Billed monthly, in EUR. You can stop the renewal anytime from your account, and access starts right after payment. Prices are totals, with VAT included at the rate of your country.

Just this course

Edge AI and On-Device Intelligence

€ 99 per month, VAT included No commitment: stop the renewal anytime

about €4 per hour of course

30 lessons in 10 modules about 25 hours
  • All the course’s lessons, exercises and quizzes: 343 questions
  • AI Professor in the lessons, included in your subscription
  • Publicly verifiable Certificate of Completion

IT Pro

Includes this course

Developers, data engineers, architects. Code and production.

€ 399 per month, VAT included Billed monthly: stop the renewal anytime

€16 per month for each of the 25 courses

25 IT Pro courses 25 hours per course on average
  • Prompt engineering, LLMs, RAG, AI agents and MCP, Claude Code and Cursor, computer vision, MLOps, AI security
  • Hands-on projects with production examples
  • AI Professor in every lesson, quizzes and a certificate for every course

All Access

The whole catalog, both tracks side by side.

€ 499 per month, VAT included Billed monthly: stop the renewal anytime

€10 per month for each of the 50 courses

All 50 courses about 1,257 hours
  • You save €199 a month compared with the two bundles bought separately
  • New courses included as they are released
  • AI Professor in every lesson, quizzes and a certificate for every course

Subscriptions renew automatically; you can stop the renewal anytime from your account, and access stays until the end of the period already paid for. As digital content with immediate access, see the withdrawal conditions.

Before you decide

Frequently asked questions

About the course, the price, the AI Professor and the certificate.

What will I learn in “Edge AI and On-Device Intelligence”?

A premium, hands-on course on Edge AI and on-device intelligence, updated for 2026. You will learn why intelligence is moving off the cloud and onto phones, microcontrollers, wearables and industrial gateways — driven by latency, cost, privacy and offline reliability — and how to actually ship it. You will master model compression (post-training and quantization-aware quantization, pruning and sparsity, knowledge distillation), the real runtimes (LiteRT / TensorFlow Lite, ONNX Runtime, Core ML, ExecuTorch, MediaPipe and llama.cpp), and mobile deployment on both Android and iOS. You will go all the way down to TinyML on microcontrollers, understand the edge hardware landscape (NPUs, Google Coral, NVIDIA Jetson), and run small language models such as Gemma, Phi and small Llama models directly on device. The course covers on-device inference optimization, privacy-first design and federated learning, over-the-air model updates, and edge monitoring, with real case studies across mobile, IoT and wearables. Every concept is paired with real, correct code, and privacy-by-design and GDPR obligations are treated as first-class engineering concerns. Includes a comprehensive final assessment.

The course has 10 modules and 30 lessons, with 343 quiz questions. The full curriculum, module by module, is shown on the course page.

Do I need prior experience for this course?

Yes. The course is Advanced level and assumes hands-on experience with AI in its field.

How long does the course take?

The estimated duration is about 25 hours, across 30 lessons. You learn at your own pace, and your progress is saved automatically at every lesson, so you can pick up where you left off.

How much does it cost, and which plan do I need?

Access to this course alone costs €99 per month. The course is also included in the IT Pro bundle, €399 per month for all 25 IT Pro courses, and in All Access, €499 per month for the whole international catalog.

Plans are billed monthly, in EUR. Every price is a total, with VAT included at the rate of your country. Compare the plans.

Can I read part of the course before paying?

Yes. You can read a free preview of lesson 1, “Why Edge AI Now in 2026”, without an account. The preview shows you how the lesson is written; the rest of the lesson and the other lessons open after payment.

How does the AI Professor help me in this course?

The AI Professor is built into every lesson and starts from the lesson you have open: it explains the passages you select, gives you examples, summarizes the lesson, tests you with a quiz and prepares review flashcards. You can type or talk to it, in English.

It is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms.

Do I get a certificate when I finish the course?

When you meet the completion thresholds shown on the platform (lessons completed and the minimum quiz score), you can issue your Certificate of Completion for “Edge AI and On-Device Intelligence” from your account, with a unique number, publicly verifiable on the site.

It is a private attestation of course completion, issued by GALIAN SOFTWARE DEVELOPMENT SRL. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Details in the Certification policy.

Does the subscription renew automatically? How do I stop it?

Yes. Course access and the bundles are subscriptions that renew automatically at the end of each monthly billing period. You can see the next renewal date in your account at any time.

You can stop the renewal at any time, from your account or by email, with no other formality. Access stays active until the end of the period already paid for, and no pro-rata refund is made for a period already started, except in the cases provided by law. Your progress stays saved in your account. Details in the Terms & Conditions, section 5.5.

Can my company buy this course for a team?

Yes. Company plans give a team access to the courses, with a dashboard where you follow each member’s progress and manage seats centrally. See the plans for companies.

From the same track

Similar courses

All of them are included in the IT Pro bundle, at about €16 per course, or you can take them separately, at €99 a month each.

Start the course today, at your own pace

“Edge AI and On-Device Intelligence”: 30 lessons and about 25 hours of content, with your progress saved at every lesson.

  • Instant access after payment, on computer, tablet or phone.
  • AI Professor in every lesson, included in your subscription.
  • Certificate of Completion, publicly verifiable.

Just this course

€99/month

VAT included · stop the renewal anytime from your account

Buy the course Or all 25 IT Pro courses: €399/month