Brochure
Enquire- Introduction to Computer Vision
- Image Representation & Analysis
- Convolutional NN Layers
- Features & Object Recognition
- Image Segmentation
Expert
Online
3 Months
Quick facts
| particular | details | |||
|---|---|---|---|---|
|
Collaborators
Deep learning,
+1 more
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
10-15 Hours Per Week
|
Course overview
The Computer Vision certification course is designed so that the candidates can improve their existing deep learning and machine learning skills with programming techniques and computer vision theory. Candidates can apply these skills across different applications namely, mobile applications, health diagnostics, autonomous vehicle navigation, video processing, image processing, and others.
The Computer Vision training programme consists of 3 courses and 3 projects. By building a project, the candidate gets to demonstrate the skills they have gained and each project will add to an impressive professional portfolio that will show future employers the mastery of computer vision and deep learning techniques.
The Computer Vision Programme certification by Udacity is one of the most preferred courses to pursue since it is in high demand in the professional world. Since there is a lack of candidates with this certification, it is a bright opportunity for more and more people to pursue this programme. The programme includes working on different computer vision applications namely, deep learning libraries, computer vision, Python, etc.
The highlights
- 3-month programme
- Flexible learning hour
- 10 – 15 hours classes/week
- In collaboration with NVIDIA, Deep Learning Institute and Affectiva
- Certification by Udacity
Program offerings
- Real – technical mentor support
- Flexible learning programme
- World projects from industry experts
- Personal career coach and career services.
Course and certificate fees
The fee for Computer Vision Expert is summarized as follows:
| Particulars | Amount |
| Annual Fee | ₹20,500 |
Monthly fee - pay as you go | ₹10,250/month |
certificate availability
Yes
certificate providing authority
Udacity
Eligibility criteria
Statistics
Machine learning
Deep learning
Python
Work Experience
- Candidates applying for Computer Vision programme online courses should have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before.
- Candidates should have experience in object-oriented programming and could be able to write nested for loops and could read and understand codes written by other people.
- Candidates should have experience in or have seen some neural network architecture (CNN for image classification) and should be able to describe backpropagation.
Certification Qualifying Details
- After completion of all the courses/curriculum and 3 projects of the Computer Vision NPTEL candidates get the certificate.
What you will learn
Knowledge of deep learning
After successful completion of the Computer Vision certification syllabus, candidates will learn the following things in deep:
- Master cutting-edge deep learning techniques and computer vision
- Learn how to track and locate an object over a period of time
- Implementation of Deep learning architectures to vision tasks of computers
- Extracting essential features from image data
- Application of deep learning techniques
Who it is for
Ai developer
Software developer
Computer programmer
Software engineer
Python programmer
Machine learning engineer
The Computer Vision course by Udacity is ideal for the following:
- Machine Learning Engineer
- Python Programmer
- Software Developer
- Software Engineer
- Computer Programmer
- AI Developer
Admission details
To apply for the Computer Vision classes, candidates have to follow these steps:
Step 1: Visit the website of this programme URL
https://www.udacity.com/course/computer-vision-nanodegree--nd891
Step 2: Click on the ‘Enroll Now' button given on the top, and two payment options Pay Upfront and Pay as you go will reflect
Step 3: Choose the plan. Regular users of Udacity will click on the Returning student tab. The new users will click on the Quick Checkout tab.
Step 4: If you click Quick checkout then it will be done by signing up via Facebook or Google id.
Step 5: The user will land on fee details where all the programme fee details are given.
Step 6: Check out to make the payment. If you have a coupon code then enter and proceed or else directly proceed.
Step 7: The payment can be made by the user via debit card, net banking, or other modes.
Step 8: After successfully paying the fees, you will have the access to the course
The syllabus
Introduction to Computer Vision
Advanced Computer Vision and Deep Learning
- Advanced CNN Architecture
- Recurrent Neural Networks
- Attention Mechanisms
- Image Captioning
Object Tracking and Localization
- Object Motion & Tracking
- Optical Flow & Feature Matching
- Robot Localization
- Graph Slam
Scholarship Details
Candidates who are seeking scholarship options under this programme must visit https://udacity.zendesk.com/hc/en-us/categories/360002443511-Scholarship-Programs. They need to sign up and send the details by clicking Notify Me tab. This will enable candidates to receive regular updates on scholarships that are available on programmes. These details are updated on the website.
How it helps
The need for computer vision engineers and deep learning skills is quite high in the professional world. The Computer Vision course is the best opportunity to work on the skills that are very much in demand and will be helpful in advancing or launching modern computer vision techniques. A combination of deep learning libraries, computer vision, and Python will enhance your core competency in the field of Computer Vision. By undergoing this programme, the candidates will get a professional edge over other professionals in the same industry. Moreover, the certificate will open more job opportunities for candidates post-completion of the programme. Hence these are the Computer Vision certification benefits.
Instructors
Mr Sebastian Thrun
President
Udacity
Ms Cezanne Camacho
Instructor
Freelancer
M.S, Other Masters
Ms Alexis Cook
Instructor
Freelancer
Other Masters
Mr Juan Delgado
Content Developer
Udacity
Other Masters, Ph.D
Mr Jay Alammar
Instructor
Freelancer
Other Bachelors
Ms Ortal Arel
Professor
Freelancer
Ph.D
Mr Luis Serrano
Instructor
Freelancer
Ph.D
FAQs
Why should I pursue the programme of Computer Vision from Udacity?
The Computer Vision programme is ideally best suited to be pursued by professionals since there is a huge demand for this particular certification in the industry. The skills imparted during this programme will help you in mastering different areas namely, deep learning libraries, computer vision, python, etc.
How is the structuring of the Computer Vision online course done?
The programme of Computer Vision is structured in a way that it includes the curriculum, content and three projects. It is mandatory for candidates to complete and submit these projects on time and at the same time to clear them. Once the candidate passes these, he/she will be entitled to certification of completion.
How much time will it take to complete the Computer Vision programme?
The duration of this best computer vision course is for three months. It is required that candidates dedicate 10 to 15 hours per week.
What is the basic prerequisite in terms of programming language for this programme?
The candidates must have knowledge and experience of working on Deep Learning, Machine Learning, Statistics and Python. These are the key essentials for clearing the eligibility criteria.
What if once I have paid the fees and I want to withdraw and get a refund, is it possible?
Since the programme gives a 7 day free trial period, the candidate will not be getting the refund for the payment made.
Articles
Popular Articles
Latest Articles
Similar Courses
Discrete Time Signal Processing
MIT Cambridge via Edx
High Performance Computing
Georgia Tech via Udacity
Advanced Operating Systems
Georgia Tech via Udacity
Computer System Design Advanced Concepts of Modern...
Chalmers University of Technology, Gothenburg via Edx
Courses of your interest
Learn Automation Testing
GroTechMinds
TOGAF 9 Combined Level 1 and Level 2 Training
SkillUp Online via Simplilearn
Advanced Certificate Program in DevOps
CMU School of Computer Science, ... via TalentSprint
Mastering Deep Learning Using Apache Spark
Simpliv Learning
Devops with AWS CodePipeline Jenkins and AWS CodeD...
Simpliv Learning
Machine Learning with Python from Linear Models to...
MIT Cambridge via Edx
Big Data Capstone Project
The University of Adelaide, Adel... via Edx
Computer Applications of Artificial Intelligence a...
Purdue University, West Lafayette via Edx
More Courses by Udacity
Introduction to Data Science
Udacity
Machine Learning Devops Engineer
Udacity
Ethical Hacker
Udacity
Data Architect
Udacity
Artificial Intelligence
Udacity
Deep Reinforcement Learning
Udacity
Data Streaming
Udacity
Natural Language Processing
Udacity
Sensor Fusion Engineer
Udacity
