PG Diploma in Computer Vision

1. Professionals who have a keen interest in AI
2. Career starters interested in the field of AI
3. Students aiming their career in AI and Machine learning
4. Software and IT Professionals
5. Individuals and professionals looking for a career change
6. Engineers, Marketing, Healthcare, and Finance professionals aiming for career excellence

Applicants should have a Bachelor’s degree or equivalent qualification in order to be eligible for this course. Additionally, applicants must have adequate proficiency in the English language.

Prerequisites:
1. Intermediate to advanced Python experience. You are familiar with object-oriented programming. You can write nested   for loops and can read and understand code written by others.
2. Intermediate statistics background. You are familiar with probability.
3. You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before.

All applicants are required to upload the following documents in order to be eligible for admission:

1. Bachelor's Degree Certificate (Official translations should be submitted if the documents are not in English).
2. The final transcript of the Bachelor's Degree.
3. A copy of the government-issued photo identity.

The core resources of the program are video classes and related reading materials. The learners will get Live Virtual training and also on-demand learning support.

We provide on-demand learning support to every student and every student receives pastoral support and guidance from in-house student engagement team.

This program does not involve written examinations. Upon enrolling, your performance will be evaluated based on the outcomes of your capstone projects and assignments. Be informed that a final submission will encompass both the project and assignment aspects. To ensure successful completion, kindly adhere to the specified deadline for submitting assignments and capstone projects within each unit.

The following are the Application and Use Cases of this Course:

1. Transportation: CV helps in parking occupancy detection, traffic flow analysis, self-driving cars
2. Banking: CV is used in banking for biometric recognition for authentication, fraud control, etc.
3. Agriculture: CV helps automate harvesting, plant disease detection, crop and yield monitoring.
4. Health Care: Computer vision is used to analyze X-Ray, MRI, CT scans as accurately as human doctors
5. Manufacturing: CV with ML algorithm helps large-scale manufacturing in accurate defect detection
6. Education: CV tools helps teachers to conduct classes & examinations online.
7. Retail: CV made it possible to self-checkout in supermarkets, do full inventory scans and notify stock-outs.

The skills covered during the program are:

- Machine Learning
- Deep Learning
- Natural Language Processing
- Reinforcement Learning
- Computer Vision
- Neural Networks

Once you have registered for the course, you can complete the programme in a fixed time period of 9 months.

Each module must be completed within 5 weeks of the enrollment date.

This Diploma is certified by Universidad Católica de Murcia (UCAM), Spain, accredited by ANECA (National Agency for Quality Assessment and Accreditation of Spain) and the Ministry of Education regarding 17 of its undergraduate degrees.

Under any unforeseen circumstances, if you want to withdraw from the programme, you may be unable to apply for an Early Exit Award.

There will be a formal convocation ceremony conducted by UCAM in UAE.