Deep Learning Course Features

Certified Computer Vision Expert Course

The Certified Computer Vision Expert enables an individual to become knowledgeable about the techniques of computer vision.  It equips a candidate with the knowledge and expertise of handling projects on computer vision.

Certified Computer Vision Expert Course Training Cost

Live Virtual


  • IBM® & IABAC® Certification
  • 4-Month | 200 Learning Hours
  • 80-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship +Job Assistance

Self Learning


  • IBM® & IABAC® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Internship +Job Assistance



  • IBM® & IABAC® Certification
  • 4-Month |200 Learning Hours
  • 32-Hour Classroom Sessions
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance

Why Datamites

Why DataMites Infographic


To equip the candidate with the knowledge of Computer Vision.

  • No mandatory prerequisites
  • Completed the course on Certified Deep Learning Expert.
  • Knowledge of Deep Learning.
  • Any individual who is involved in the computer vision domain.
  • A fresher who possesses a good amount of knowledge in Computer Vision.
  • Wide Recognition.
  • Higher Pay.
  • Designed in tune with the current industry requirements.

DataMites™ is an authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses

  • DataMites™ is founded by Data Science/Analytics Experts, who had deep roots in the industry in the USA and Europe for decades.

  • You benefit from course syllabus of DataMites™ as designed inline with job requirement in the current market

  • You can choose from flexible learning options: Traditional classroom, Live Virtual classroom, and Self-learning.

  • DataMites™ has a dedicated Placement Assistance Team (PAT), which assists you to find the right data science job

  • If you are a worthy candidate, you can get an opportunity to work in global data science consulting projects

  • You can treat your DataMites™ relationship manager as your pal. We value your every request.


  • Learn where computer vision techniques are used in industry
  • Prepare for the course ahead with a detailed topic overview
  • Start programming your own applications
  • See how images are represented numerically
  • Implement Image Processing techniques like color and
  • Geometric Transforms
  • Learn about the layers of a Deep Convolutional Neural Network
  • Convolutional, Max Pooling, and Fully Connected Layers
  • Build a CNN-based Image Classifier in PyTorch
  • Learn about Layer Activation and Feature Visualization techniques
  • Learn why distinguishing features are important in pattern and object recognition tasks
  • Write code to extract information about an object’s color and shape
  • Use features to identify areas on a face and to recognize the shape of a car or pedestrian on a road
  • Implement K-Means Clustering to break an image up into parts
  • Find the contours and edges of multiple objects in an image
  • Learn about background subtraction for video
  • Combine CNN and RNN knowledge to build a deep learning model that produces captions given an input
  • image. Image captioning requires that you create a complex deep learning model with two components: a
  • CNN that transforms an input image into a set of features, and an RNN that turns those features into rich,
  • descriptive language. In this project, you will implement these cutting-edge deep learning architectures.
  •  Learn about advance CNN architectures
  • See how region-based CNN’s, like Faster R-CNN, has allowed for fast, localized object recognition in images
  •  Work with a YOLO/single-shot object detection system
  • Learn how Recurrent Neural Networks learn from ordered sequences of data
  • Implement an RNN for sequential text generation
  • Explore how memory can be incorporated into a Deep Learning model
  • Understand where RNN’s are used in deep learning applications
  • Learn how attention allows models to focus on a specific piece of input data
  • Understand where attention is useful in Natural Language and Computer Vision applications
  • Learn how to combine CNNs and RNNs to build a complex captioning model
  • Implement an LSTM for caption generation
  • Train a model to predict captions and understand a visual scene
  • Use feature detection and key point descriptors to build a map of the environment with SLAM (Simultaneous
  • Localization and Mapping). Implement a robust method for tracking an object over time, using elements of
  • Probability, Motion Models, and Linear Algebra. This project tests your knowledge of localization techniques
  • that are widely used in autonomous vehicle navigation
  • Learn how to programmatically track a single point over time
  • Understand motion models that define object movement over time
  • Learn how to analyze videos as sequences of individual image frames
  • Implement a method for tracking a set of unique features over time
  • Learn how to match features from one image frame to another
  • Track a moving car using optical flow


DataMites™ provides flexible learning options from traditional classroom training, the latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned with the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.

All certificates can be validated with your unique certification number at the portal. You also get candidate login at, where you can find your test results and other relevant validation details.

The results of the Exam are immediate if you take an online test at the portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 business days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.


The course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on an individual basis in assisting for the right Data Science job.

You get a 100% refund training fee if the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with the latest information on Data Science as well as job updates.


The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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