Deep Learning in Computer Vision
Duration: 12 Days | Intake: 21 September 2020
Deep Learning is driving advances in the field of Computer Vision that are changing our world. Robots and machines can now “see”, learn and respond from their environment.
What Will You Learn?
- YOLO Model
- Image Processing
- Image Classification
- Object Detection
- Image Segmentation
- Convolutional Neural Network
- Deep Learning Framework, Deeplearning4j (DL4J)
Example Of Use Case You Can Build
Apply Deep Learning to automate and accelerate human visual inspection. Applications range from parts defect detection and texture classification in the manufacturing industry to surveillance and security monitoring for public safety etc.
How Does It Work?
Enroll in the training course
This course further elaborates the underlying Deep Learning techniques used in Computer Vision systems and prepares you to be a Deep Learning engineer. It is developed by CertifAI’s Deep Learning engineers with years of practical experience in this field.
Sit for the exam
Once you have completed the Deep Learning in Computer Vision course, you are required to sit for the examination to become a Certified Deep Learning Engineer.
Once you have completed the examination, you will be awarded a Certificate of Participation.
Those who have successfully passed the examination will be awarded a Certificate of Achievement and become a Certified Engineer in Computer Vision.
Certified Engineer in Computer Vision
Once you’ve successfully passed the Deep Learning in Computer Vision Exam, you’ll be acknowledged as a Certified Engineer in Computer Vision. With the accreditation earned, you can now kickstart your career in the field of Deep Learning and Computer Vision with us at CertifAI. Some of the roles pursued by our talents include:
- AI Engineer
- Data Scientist
- Computer Vision Engineer
- Machine/Deep Learning Engineer
- AI Tech Lead