Certified Computer Vision Expert Course

BY
DataMites

Explore deep learning techniques for CNN constructions and image processing, and master computer vision’s practical applications with the Couse.

Mode

Online

Duration

4 Months

Fees

₹ 31900 40000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom +1 more
Mode of Delivery Video and Text Based

Course overview

DataMites’ Certified Computer Vision Expert Course online is an in-depth curriculum about using data techniques for CNN construction and image processing. Curated by analytics/data science experts, this is an industry-aligned programme accredited by the International Association of Business Analytics Certification (IABAC). Through this training, you’ll learn state-of-art computer vision techniques while undertaking hands-on projects.

The Certified Computer Vision Expert Course syllabus touches upon various computer vision topics. It also showcases the concept’s practical applications into tasks involving vision, such as image processing and object tracking. Datamites also has a dedicated placement team, who will train you to become employment-ready.

Moreover, the Certified Computer Vision Expert Course by Datamites offers flexible learning options. You can choose from the in-person classroom training, live instructor-led virtual classes, or the blended learning model (live mentoring + self-learning). All three provide the IABAC global certification upon completion. Depending on your course option, you can also get job and internship assistance. 

The highlights

  • Placement assistance team (PAT)
  • Career guidance by expert counsellors
  • Industry-expert trainers
  • Globally recognised certification by IABAC
  • 5 case studies
  • No mandatory prerequisites
  • Real-world projects
  • 3 learning options
  • Job + internship assistance
  • 1 client project
  • 10 capstones
  • Comprehensive study material 
  • Career mentoring sessions
  • 24x7 learner support

Program offerings

  • Career mentorship
  • Expert guidance
  • Specialised syllabus
  • Iabac’s global certification
  • Flexible learning modes
  • Capstones and case studies
  • Industry-aligned curriculum
  • Placement assistance.

Course and certificate fees

Fees information
₹ 31,900  ₹40,000
  • There are three training options - Live Virtual, Blended Learning, and Classroom.
  • The Certified Computer Vision Expert Course fees differ, depending on which training option you choose. 

Certified Computer Vision Expert Course fee structure

Training Option

Fees in INR

Discounted Fee

Live Virtual

Rs.40,000

Rs.31,900

Blended Learning

Rs.22,000

Rs.17,900

Classroom

Rs.44,000

Rs.30,900
certificate availability

Yes

certificate providing authority

IABAC

Who it is for

The Certified Computer Vision Expert Course by Datamites is for individuals belonging to the computer vision domain. Freshers with computer vision knowledge are also ideal. 

Eligibility criteria

There are no hard-and-fast prerequisites for joining. However, it’s recommended that you first complete the ‘Certified Deep Learning Expert’ programme and know Deep Learning to join the Certified Computer Vision Expert Course training. 

To earn the Certified Computer Vision Expert Course certificate, you must complete the entire curriculum, submit all the projects, case studies, and capstones, and clear the examination. 

What you will learn

Knowledge of artificial intelligence Knowledge of numpy

Once you complete Datamites’ Certified Computer Vision Expert Course, you’ll be well-versed in the following concepts: -

  • Deep learning techniques for image processing and CNN (Convolutional Neural Networks)  construction
  • Practical applications for vision-related tasks, like image processing, object tracking, etc. 
  • AI fundamentals
  • AI data strategy, issues, ethics, concerns, challenges, adoption, and use cases
  • TensorFlow and its basics
  • TF 2.X
  • Tensorflow 2.X - Keras
  • Feed-forward algorithms
  • Neural networks’ structure
  • Backpropagations
  • Convolutional Neural Networks (CNNs)
  • Using NumPy to build neural networks from scratch
  • CNN's with Keras
  • Style transfers
  • CNN’s transfer learning
  • ResNet modelling
  • Flowers dataset with TF 2.X
  • Using CNN models to examine X-rays 

The syllabus

Introduction to Artificial Intelligence (AI)

  • What is artificial intelligence? 
  • Evolution of human intelligence
  • Why artificial intelligence now?
  • History of Artificial Intelligence
  • Areas of artificial intelligence
  • AI terminologies
  • AI vs Machine learning vs Data science

AI Data Strategy

  • Data lake
  • Four stages of integrating and building data lakes with technology architectures
  • Foundation of AI data

AI Ethics, Issues, and Concerns

  • Issues and Concerns around AI
  • AI and Ethical Concerns
  • AI and Bias
  • AI: Ethics, Bias, and Trust

AI Challenges, Use cases, and Adoption

  • Challenges of AI Implementation
  • Pitfalls and Lessons from the Industry
  • Usecases from top AI Implementation
  • Future with AI
  • The Journey for adopting AI successfully

TensorFlow Introduction

  • Introduction to Tensorflow 2.X
  • Tensor + Flow = Tensorflow
  • Components and Basis Vectors
  • Sequential and Functional APIs

TensorFlow Basic Concepts

  • Creating a Tensor
  • Tensor Rank /Degree
  • Shape of a Tensor
  • Create Flow for Tensor Operation
  • Usability-Related Changes
  • Performance-Related Changes

Installation and Basic Operations in TF 2.X

  • Tensorflow 2.X Installation and Setup
  • Anaconda Distribution Installation
  • Colab – Free Powerful Lab from Google
  • Databricks
  • Tensorflow V1.X  Vs Tensorflow V2.X
  • Tensorflow Architecture
  • Tf 2.0 Basic Syntax

TF 2.0 Eager Mode

  • Tensorflow Graphs
  • Variables and Placeholders
  • Operations and Control Statements
  • Tf 2.0 Eager Execution Mode
  • Tf 2.0 Autograph Tf.Function
  • Application of Tensorflow Platform

TensorFlow 2.X - Keras

  • Using Keras modules for NN modeling
  • In-built Keras in TensorFlow 2.X
  • Keras package introduction

Structure of Neural Networks

  • Neural Networks - Inspiration from the Human Brain
  • Introduction to Perceptron
  • Binary Classification Using Perceptron
  • Perceptrons - Training
  • Multiclass Classification using Perceptrons
  • Working of a Neuron

Neural Network - Core Concepts

  • Inputs and Outputs of a Neural Network
  • Parameters and Hyperparameters of Neural Networks
  • Activation Functions
  • Flow of Information in Neural Networks - Between 2 Layers
  • Learning the Dimensions Weight Matrices

Feed Forward Algorithm

  • Feedforward Algorithm
  • Vectorized Feedforward Implementation
  • Understanding Vectorized Feedforward Implementation
  • What does training a Network mean?
  • Complexity of the Loss Function
  • Comprehension - Training a Neural Network
  • Updating the Weights and Biases

Backpropagation

  • Sigmoid Backpropagation
  • Batch in Backpropagation
  • Training in Batches
  • Regularization
  • Batch Normalization

Building Neural Network from Scratch Using NumPy

  • Imports and Setups
  • Defining Network Variables
  • Creating Feed Forward Module
  • Creating Back Propagation Module
  • Integrating all Modules for Complete Neural Network
  • Predictions using the Network Model

Convolutional Neural Networks (CNNs) Introduction

  • Introduction To CNNs
  • Image Processing Basics
  • Understanding Mammals Eye Perception
  • Understanding Convolutions
  • Stride and Padding
  • Important Formulas
  • Weights of a CNN
  • Feature Maps
  • Pooling
  • Putting the Components Together

CNNs with Keras - Tf 2.X

  • Building CNNs In Keras - Mnist
  • Comprehension - Vgg16 Architecture
  • Cifar-10 Classification with Python
  • Overview of CNN Architectures
  • Alexnet and Vggnet
  • Googlenet
  • Residual Net

Transfer Learning in CNN

  • Introduction to Transfer Learning
  • Use Cases of Transfer Learning
  • Transfer Learning with Pre-Trained CNNs
  • Practical Implementation of Transfer Learning
  • Transfer Learning in Python
  • An analysis of Deep Learning Models

Style Transfer

  • Introduction to Style Transfer
  • Style Loss and the Gram Matrix
  • Loss Function
  • Style Transfer Notebook
  • Object Detection

Flowers Dataset with Tf 2.X

  • Examining the Flowers Dataset
  • Data Preprocessing: Shape, Size and Form
  • Data Preprocessing: Normalisation
  • Data Preprocessing: Augmentation
  • Data Preprocessing: Practice Exercise Solutions

Resnet Modeling

  • Resnet: Original Architecture and Improvements
  • Building the Network
  • Ablation Experiments
  • Hyperparameter Tuning
  • Training and Evaluating the Model

Examining X-ray with CNN Model

  • Examining X-Ray Images
  • Cxr Data Preprocessing – Augmentation
  • Cxr: Network Building

Admission details

  • Visit the Certified Computer Vision Expert Course webpage.
  • Scroll down to the “Certified Computer Vision Expert Course training cost” section and check the learning options and their prices.
  • Select a preferable one and choose its ‘Enquire Now’ button. 
  • Fill out the on-screen details and tap the ‘Enquire Now’ option.
  • Datamites will reach out to you about your programme inquiry. 

Filling the form

To join the Certified Computer Vision Expert Course by Datamites, you must submit an enquiry request. For this, you must provide your full name, active email address, and contact number. You can also fill in your company name, if applicable. 

How it helps

Apart from the extensive syllabus and learning materials, there are various Certified Computer Vision Expert Course benefits to enjoy. Datamites offers a dedicated placement team, along with expert counsellors’ career guidance, enabling you to master the required qualities to become job-ready. 

Moreover, the Certified Computer Vision Expert Course certificate is a widely recognised accreditation by the IABAC. Thus, you’ll be able to seek higher pay and coveted roles in numerous organisations. 

FAQs

Do I have to pay for the examination separately?

No. The exam fee is part of the programme fee you pay.

What study material will be given to me?

Datamites will provide you with cheat sheets, videos, data sets, and extensive material on new letters, job updates, and job interviews. 

Who are the trainers?

The Certified Computer Vision Expert Course trainers are industry experts and PhDs, who are elite faculty members from reputed universities.

Is career guidance available?

Datamites offers career mentoring sessions by their expert counsellors. 

How are the ‘Classroom’ and ‘Live Virtual’ modes different?

While both the modes offer similar facilities like the IABAC certificate and 200 learning hours, each has its exclusive features. For example, the Classroom mode offers Cloud Lab access, whereas the Live Virtual mode offers 80-hour live training online.

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Download the Careers360 App on your Android phone

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

Careers360 App
150M+ Students
30,000+ Colleges
500+ Exams
1500+ E-books