AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
Computer Vision
Build image classification, detection and video analysis projects.
Online + OfflineWeekdays + WeekendsRegular + Fast Track
22+years in training
20,000+learners across TGC
5classroom locations
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COURSE OVERVIEW
What this course
is built to do.
Build image classification, object detection and video-analysis systems using OpenCV, neural networks and YOLO.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
Computer Vision EngineerVision AI AssociateMachine Learning EngineerImage Analytics Developer
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You know Python and machine-learning basics
You want image, object-detection or video projects
You need training, evaluation and deployment practice
YOUR LEARNING ARC
From guided foundation to finished work.
Images
Prepare and transform visual data with OpenCV.
Models
Train classification systems using transfer learning.
Detection
Build and test custom YOLO detectors.
Application
Process video or images and deploy a final system.
INDUSTRY TASKS
Practise the work, not only the tool.
- Train an image classifier
- Create a custom object detector
- Build a video or document-vision application
PRO
LED
LED
YOUR TRAINING TEAM
Learn from experienced working professionals.
Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Prepare image and video datasets
A repeatable OpenCV pipeline and checked annotation set.
02
Train classification and detection models
Reviewed CNN and YOLO projects with metric reports.
03
Build applied vision workflows
A working video, OCR or monitoring prototype.
04
Deploy and explain a vision model
A usable application with performance notes and model limits.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
DETAILED COURSE FLOW
5 learning modules
Build computer-vision systems for classification, detection and video analysis while learning data preparation, evaluation and deployment.
Images, OpenCV and vision data
Understand digital images and create repeatable preparation pipelines.
CORE TOPICS
- Pixels, colour spaces and image formats
- Resize, crop, filter and geometric operations
- Annotations, labels and dataset quality
- Augmentation and data splitting
GUIDED PRACTICE
Create an OpenCV pipeline and prepare an annotated dataset for model training.
MODULE DELIVERABLE
Vision data preparation notebook
Image classification and transfer learning
Train reliable classifiers using pretrained neural networks and controlled experiments.
CORE TOPICS
- CNN building blocks
- Transfer learning and fine-tuning
- Training, regularisation and augmentation
- Confusion matrices and class-level errors
GUIDED PRACTICE
Train and compare image classifiers, then investigate weak classes and data problems.
MODULE DELIVERABLE
Image classification project
Object detection with YOLO
Locate and label multiple objects in images using a complete detection workflow.
CORE TOPICS
- Boxes, anchors and detection concepts
- YOLO dataset format and training
- Precision, recall, mAP and thresholds
- Inference, tracking and result visualisation
GUIDED PRACTICE
Train a detector on a selected use case and tune its thresholds against test images.
MODULE DELIVERABLE
Custom object detector
Video analysis and applied vision
Process video streams and combine detection with tracking and business rules.
CORE TOPICS
- Frames, streams and performance
- Object tracking and counting
- OCR and document-vision use cases
- Privacy, consent and responsible monitoring
GUIDED PRACTICE
Build a video or document-analysis prototype with clear operating limits.
MODULE DELIVERABLE
Applied vision prototype
Deployment and final capstone
Prepare a vision model for real use with an interface, monitoring and technical explanation.
CORE TOPICS
- Model export and inference optimisation
- FastAPI or web application delivery
- Latency, hardware and cost
- Model cards, monitoring and update plans
GUIDED PRACTICE
Deploy and present a complete computer-vision application using unseen test data.
MODULE DELIVERABLE
Deployed computer-vision capstone
HOW THE TRAINING WORKS
Learn it. Apply it. Get it reviewed. Improve it.
Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
Review and revision
Work is checked against a rubric, revised after feedback and prepared for project presentation.
PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation
PORTFOLIO WORK
Projects you can show
Guided practice brief
Plan, produce, test and present a finished piece with trainer feedback.
Individual application
Plan, produce, test and present a finished piece with trainer feedback.
Workflow build
Plan, produce, test and present a finished piece with trainer feedback.
Industry-style assignment
Plan, produce, test and present a finished piece with trainer feedback.
Quality review
Plan, produce, test and present a finished piece with trainer feedback.
Final capstone
Plan, produce, test and present a finished piece with trainer feedback.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
TOOLS COVERED
OpenCVPythonYOLOTensorFlow
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
Does the course include YOLO?
Yes. Dataset preparation, training, thresholds and detection metrics are included.
＋Is OpenCV covered?
Yes. Learners use OpenCV for image preparation, video processing and application logic.
＋Do I need a powerful computer?
Cloud notebooks or provided lab options can be used for training work when local hardware is limited.
＋Do I need coding experience?
No, unless the course level says otherwise. Your advisor will check the right starting level.
＋Are classes live or recorded?
Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.
＋Will I receive a certificate?
Yes. Course completion requires attendance, assignments and the final project.
＋Can working professionals join?
Yes. Weekday, weekend and selected fast-track schedules are available.
＋NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.