AI for Computer Vision
Build production computer vision systems with modern foundation models. CLIP, SAM, object detection, video analysis, and real-world vision pipelines.
or $230 lifetime $799
- Access to all 12 courses
- All future updates
- Certificate of completion
- 30-day money-back guarantee
About This Course
Computer vision has been transformed by foundation models like CLIP, SAM, and GPT-4 Vision. This course teaches you to build vision systems using these modern tools — moving beyond training CNNs from scratch to leveraging powerful pre-trained models for object detection, image classification, segmentation, OCR, and video analysis in production applications.
What You'll Learn
- Use CLIP for zero-shot image classification and visual search
- Apply SAM (Segment Anything) for object segmentation without training
- Build object detection pipelines with YOLO v8/v10
- Extract structured data from documents and images with vision models
- Design multi-modal AI systems combining vision and language
- Process video streams for real-time analysis and event detection
- Fine-tune vision models for domain-specific classification tasks
- Deploy vision inference systems with optimized throughput
Who Is This For?
Want to add visual intelligence to their applications without deep ML expertise
Expanding from NLP/text AI to multi-modal and vision capabilities
Building vision tools in healthcare imaging, manufacturing QA, retail, or security
Prerequisites
- Python for AI
- Understanding LLMs recommended
- Basic familiarity with NumPy helpful