Course Sessions
Progress from fundamentals to deployment with hands-on practical work
Foundations of Computer Vision
Understanding how machines see: pixels, features, and the evolution from traditional CV to deep learning
Session 2Business Applications
Real-world CV applications across industries: retail, manufacturing, healthcare, and agriculture
Session 3Cloud Vision APIs
Leveraging Google Cloud Vision, AWS Rekognition, Azure Vision, and Claude for rapid prototyping
Session 4Custom Model Development
Transfer learning with PyTorch: fine-tuning pre-trained models for your specific business needs
Session 5Ethics & Governance
Responsible AI: addressing bias, privacy, transparency, and building ethical CV systems
Session 6Deployment & MLOps
Building production-ready CV systems with FastAPI, Docker, and monitoring best practices
Practical Works
Hands-on exercises to apply concepts and build real skills
Exploring Images as Data
Load, manipulate, and visualize images using Python, NumPy, and PIL
Practical 2Business Case Analysis
Evaluate CV opportunities and calculate ROI for a retail inventory system
Practical 3Building with Cloud APIs
Integrate Google Cloud Vision and Claude for OCR and product analysis
Practical 4Transfer Learning Classifier
Train a custom image classifier using PyTorch and pre-trained ResNet
Practical 5Deploying a CV API
Build and containerize a production-ready FastAPI image classification service
Practical 6Bias Audit & Final Project
Audit a CV model for fairness and plan your capstone project