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Professional Certificate
Computer Vision & Multimodal AI
Teach systems to see, read and describe.
- Length
- 6 months
- Level
- Intermediate
- Weekly
- 8 to 12 hours
- Format
- Live cohort, Hybrid
- Modules
- 9 to 9
- Next intake
- To be announced
What you'll learn
Practical computer vision from classification to detection, segmentation and video, finishing with models that combine images and language. Emphasis on data quality, evaluation and deployment to constrained devices.
By the end, you will be able to
- Train and evaluate classifiers, detectors and segmenters
- Build labelling and augmentation workflows
- Analyse video streams for events and tracking
- Use vision-language models for zero-shot tasks
- Optimise models for edge hardware
Curriculum
Every module includes a hands-on lab.
6-month program
9 modules, 24 weeks, about 192 to 288 study hours
Core modulesCapstone
Topics
- OpenCV
- Filtering
- Geometric transforms
Lab
Build a document scanner
Estimated effort
16 to 24 hours over 2 weeks
Skills you'll build
- Object detectionAdvanced
- SegmentationProficient
- Vision-language modelsProficient
- Video analyticsProficient
- Edge AIProficient
Tools and technologies
- Python
- PyTorch
- OpenCV
- Ultralytics
- Hugging Face
- ONNX Runtime
Product names are trademarks of their owners, listed only to describe what we teach. No endorsement is implied.
Portfolio projects
Representative projects from the curriculum. Your capstone is scoped with a mentor around a problem you choose.
Defect inspection
Flag manufacturing defects with a confidence threshold tuned for recall.
Classification, Augmentation
Traffic analytics
Track and count vehicles from video with an events dashboard.
Detection, Tracking
How it's delivered
- Live cohort
- Scheduled live classes each week with your cohort, recorded for different time zones, plus self-paced lessons and labs.
- Hybrid
- Self-paced lessons with fortnightly live workshops and mentor sessions.
Instructors
Instructor and mentor profiles for this program are published once each person's background has been verified. We don't show placeholder faces or borrowed credentials.
Admissions
- 1Submit an online application
- 2Readiness review by admissions
- 3Decision by email
- 4Confirm your place and start onboarding
Tuition
- 6-month optionPublished before intake
Payment options vary by country and are shown at checkout.
Tuition and payment optionsCertificate
Complete every required module, pass the assessments and the capstone review to earn the Professional Certificate.
Each certificate has a unique ID and QR code that anyone can check on our verification page.
This is a professional credential issued by Zyvora Academy, not an academic degree.
Where it can lead
Roles this program builds toward. Outcomes depend on your background, effort and local job market; we don't guarantee employment.
Computer Vision Engineer
Builds systems that interpret images and video.
Role details
Program questions
Syllabus
Get the full syllabus
We'll email the detailed syllabus, and the fee sheet as soon as tuition for the next intake is published.
Advisor
Speak to an advisor
Ask about fit, prerequisites or which length suits you. An advisor replies by email to arrange a call.
