Computer Vision Course at LearnAi

Empower Machines to See and Understand the World

Why Enroll in the LearnAI Computer Vision Course?

Computer Vision is one of the most exciting and transformative fields in artificial intelligence. It enables machines to interpret and understand visual information from the world, simulating human vision capabilities. From image recognition to self-driving cars and facial recognition systems, computer vision plays a pivotal role in a variety of industries, including healthcare, robotics, security, and entertainment. At LearnAi, located in the heart of Dilsukhnagar, Hyderabad, we offer a comprehensive Computer Vision course designed to equip you with the knowledge and skills to build cutting-edge visual perception systems.

Our course covers essential computer vision techniques and deep learning algorithms, including image processing, object detection, segmentation, and feature extraction. Whether you are a student, a professional in AI, or a tech enthusiast looking to dive into the world of computer vision, this course will provide you with hands-on experience and expert guidance.

Duration 30 Days

Computer Vision Course Online & Offline Classes

Mode of Training: Hybrid
Inclass & Online

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Who Should Enroll in the Computer Vision Course?

This course is ideal for individuals interested in developing their skills in AI and computer vision:

Beginners

Those new to computer vision or AI, looking to learn the foundational concepts and applications of visual perception systems.

Computer Vision Course for Academic Student

Students

College and university students pursuing computer science, AI, or engineering degrees who want to specialize in computer vision.

Professionals

Machine learning engineers, AI developers, and data scientists looking to enhance their knowledge and work on advanced computer vision projects.

Researchers

AI researchers and developers eager to explore the latest advancements in computer vision technologies.

Computer Vision Course Curriculum

The Computer Vision Course follows a comprehensive and systematic curriculum. It includes the following core modules:

Fundamentals in C

Program
Programming
Programming Languages
Types of Software
Introduction to C
History of C
Features of C
Applications of C
Character Set, ASCII Table
Tokens
Keywords
Identifiers & Naming Rules
Constants
Data Types
Type Qualifiers
How Data is Stored in Computer Memory
Variables
Variable Declaration
Variable Assignment
Variable Initialization
Comments
Defining Constants

Input-Output Functions

Input-Output Library Functions
Non-Formatted Input and Output
Character-Oriented Library Functions
Compiler, Linker, and Loader
Program Execution Phases
Formatted Library Functions
Mathematical Library Functions
Structure of a C Program
IDE
Basic Programs

Arrays

Arrays
One-Dimensional Arrays
Declaration of 1D Arrays
Initialization of 1D Arrays
Accessing Elements of 1D Arrays
 Reading and Displaying Elements
 Programs on 1D Arrays
 Two-Dimensional Arrays
 Declaration of 2D Arrays
 Initialization of 2D Arrays
 Accessing Elements of 2D Arrays
 Reading and Displaying Elements
 Programs on 2D Arrays
 Three-Dimensional Arrays

Pointers

Understanding Memory Addresses
Pointer Operators
Pointer
Pointer Advantages and Disadvantages
Declaration of Pointer Variables
Initialization of Pointer Variables
 Dereferencing / Redirecting Pointer Variables
Declaration versus Redirection
Void Pointer
Null Pointer
Compatibility
Array of Pointers
Pointer to Pointer
Pointer Arithmetic
Dynamic Memory Allocation Functions

Storage Classes

Object Attributes
Scope
Extent
Linkage
auto
static
extern
register

Structures, Unions, Enumerations and Typedef

Structures
Structure Type Declaration
Structure Variable Declaration
Initialization of Structure
Accessing the Members of a Structure
Programs Using Structures
Operations on Structures (Copying and Comparing Structures)
Nested Structures (Complex Structures)
Structures Containing Arrays (Complex Structures)
Array of Structures (Complex Structures)
Pointer to Structure
Accessing Structure Member through Pointer Using Dynamic Memory Allocation
Pointers within Structures
Self-Referential Structures
Passing Structures to Functions
Functions Returning Structures
Unions
Differences between Structures & Unions
Enumerated Types / enum Keyword
The Type Definition / typedef Keyword
Bit Fields

Operators and Expressions

Arithmetic Operators
Arithmetic Expressions
Evaluation of Expressions
Relational Operators
Logical Operators
Assignment Operators
Increment & Decrement Operators
Conditional Operator
Bitwise Operators
Type Casting
Sizeof Operator
Comma Operator
Operators Precedence and Associativity
Expressions
Evaluation of Expressions

Control Statements

Conditional Control Statements
 if
 if-else
 Nested if-else
if-else-if Ladder
Multiple Branching Control Structure
 switch-case
 Loop Control Statements
 while
 do-while
for
 Nested Loops
 Jump Control Structures
 break
 continue
 goto
 return
 Programs

Strings

String Concept
 Introduction to Strings in C
 Storing Strings
 The String Delimiter
 String Literals (String Constants)
 Strings and Characters
 Declaring Strings
 Initializing Strings
Strings and the Assignment Operator
String Input Functions / Reading Strings
String Output Functions / Writing Strings
 String Input-Output using fscanf() and fprintf() Functions
 Single Character Library Functions / Character Manipulation in Strings
 String Manipulation Library Functions
Programs Using Character Arrays
 Array of Strings (2D Character Arrays)
 Programs Using Array of Strings

Functions

Functions
 Advantages of Using Functions
 Defining a Function
Calling a Function
 Return Statement
Function Prototype
 Basic Function Designs
 Programs Using Functions
 Scope
 Recursion
 Iteration vs Recursion
 Nested Functions
 Variable Length Number of Arguments
 Parameter Passing Techniques – Call by Value & Call by Address
 Functions Returning Pointers
 Pointers and One-Dimensional Arrays
 Pointers and Two-Dimensional Arrays
 Passing 1D Arrays to Functions
 Passing 2D Arrays to Functions
 Pointers and Strings
 Passing Strings to Functions
 Pointer to Function

Preprocessor Directives

The #include Preprocessor Directive & User Defined Header Files
The #define Preprocessor Directive: Symbolic Constants
The #define Preprocessor Directive: Macros
Conditional Compilation Directives
#if
 #else
 #elif
#endif
#ifdef
 #ifndef
#undef
 #error
 #line
#pragma

Course Overview

The LearnAi Computer Vision Course is designed to provide a deep understanding of how machines interpret visual data. The course will introduce you to fundamental concepts such as image processing and feature extraction, and advance to deep learning-based techniques such as convolutional neural networks (CNNs) and generative models. You'll work on real-world projects, gaining hands-on experience in areas like image classification, object detection, facial recognition, and image generation.

Throughout the course, you'll explore various libraries and frameworks such as OpenCV, TensorFlow, Keras, and PyTorch to implement computer vision algorithms. By the end of the course, you'll be able to build applications that can analyze and process visual data, enabling machines to see and understand the world around them..

Skills You Will Gain

Upon completing the Computer Vision Course, you will acquire essential skills in both traditional and deep learning-based computer vision:

Image Processing

Learn techniques for processing and enhancing images, including filtering, edge detection, and color space transformations.

Object Detection

Implement algorithms to detect and track objects in images and videos, essential for applications like surveillance and robotics.

Feature Extraction

Understand how to extract important features from images, which are crucial for tasks like image recognition and matching.

Convolutional Neural Networks (CNNs)

Master CNNs for advanced image classification, recognition, and object detection tasks.

Image Segmentation

Learn how to partition an image into meaningful regions, an essential technique for applications like medical image analysis.

Facial Recognition

Build systems that identify and verify human faces, a key technology in security, social media, and more.

Learn Computer Vision Course from beginners to advanced in Three Phases

Begin or advance your Computer Vision journey with a course that offers a well-rounded, comprehensive learning experience. Whether you're just starting or looking to enhance your skills, this course prepares you for real-world programming tasks efficiently.

1. Exploration

Industrial Standard Course Structure

Job Oriented Programs

Domain Expertise Trainers

Recording Sessions

24/7 Portal Access

1 to 1 Mentorship

2. Understanding

Doubt Sessions

Daily Assignments

Weekly Test

Project Explanations

Project Implementation

Course Completion Certifications

3. Achievement

Resume Preparations

Interview Preparation

Mock Interviews

Internships Oppurtunity

Resume Marketing

100% Job Assistance

Tools and Technologies

• OpenCV
• TensorFlow, Keras, PyTorch
• Python
• scikit-image
• Dlib, Mediapipe
• Matplotlib, NumPy, Pandas

Job Roles

• Computer Vision Engineer
• AI Engineer
• Machine Learning Engineer
• Data Scientist

• Robotics Engineer
• Research Scientist (Computer Vision)
• Augmented Reality Developer

Become an expert in Computer Vision with LearnAi and gain the skills to build intelligent systems that can interpret and understand visual data. Join us today and start your journey to shape the future of visual computing!

FAQs

What is C programming?

 C is a high-level programming language known for its efficiency and control over hardware, widely used in system and application software development.

What are the main features of C programming?

C is praised for its simplicity, portability, efficiency, and capability for direct memory manipulation.

What are pointers in C, and why are they important?

Pointers are variables that store memory addresses, essential for dynamic memory management and efficient data handling.

How does C differ from C++?

C is a procedural language focused on functions, while C++ extends C with object-oriented features like classes and inheritance for more complex programming.

What makes LearnAI courses exceptional?

Our courses feature cutting-edge curricula, expert instructors, and hands-on projects that provide practical experience and real-world applicability.

How qualified are LearnAI instructors?

Our instructors are experienced professionals with extensive industry backgrounds, offering valuable insights and skills.

What kind of support do students receive?

Students benefit from personalized mentorship, detailed feedback, and extensive support throughout their learning process.

How does LearnAI support career growth?

 We offer career services including resume building, interview coaching, and job placement assistance to help you advance in your career.li>

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