Mastering Computer Vision: Basics, Deep Learning, and Real-World Applications
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Course Overview
Workshop Registration End Date :2025-02-15
Program Syllabus
Module 1
About
The Computer Vision workshop focuses on the principles and practical techniques of enabling machines to process, analyze, and interpret visual data. Participants will explore key concepts such as image processing, object detection, and neural networks. Through hands-on sessions and industry use cases, this program provides a solid foundation for understanding the role of computer vision in fields like healthcare, autonomous vehicles, and retail.
Module 2
Aim
To introduce participants to the fundamentals and applications of Computer Vision, enabling them to design, implement, and deploy vision-based AI systems for solving real-world problems.
Limited SeatsClosing Soon
Mastering Computer Vision: Basics, Deep Learning, and Real-World Applications
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Workshop Objectives
- To introduce participants to the fundamentals of Computer Vision and its applications.
- To train participants in developing and deploying vision-based AI solutions.
- To explore real-world use cases and challenges in Computer Vision.
- To provide hands-on experience with state-of-the-art Computer Vision tools and frameworks.
- To prepare participants for advanced roles in AI and Computer Vision.
Module 4
Workshop Structure
Module 5
Day 1: Introduction to Computer Vision
- What is Computer Vision?
- Overview of computer vision and its real-world applications (e.g., facial recognition, autonomous vehicles, healthcare).
- Core Concepts of Computer Vision
- Pixels, images, and image processing basics.
- Common tasks: Object detection, image classification, and segmentation.
- Getting Started with Tools
- Installing and setting up Python libraries: OpenCV, NumPy, and Matplotlib.
- Basic image operations: Loading, displaying, resizing, and cropping.
Module 6
Day 2: Image Processing and Feature Extraction
- Image Preprocessing Techniques
- Converting images to grayscale and binary.
- Applying filters: Gaussian blur, edge detection (Sobel, Canny).
- Feature Extraction
- Detecting features: Corners, edges, and contours.
- Understanding keypoint detection methods: SIFT, ORB.
- Hands-On Session
- Building a basic image classification pipeline using OpenCV.
Module 7
Day 3: Deep Learning in Computer Vision
- Deep Learning for Vision Tasks
- Introduction to Convolutional Neural Networks (CNNs).
- Popular architectures: VGG, ResNet, and MobileNet.
- Pretrained Models and Transfer Learning
- Using TensorFlow/Keras for applying pretrained models to image datasets.
- Hands-on: Classifying images with a pretrained model (e.g., ResNet50).
- Real-World Applications and Future Trends
- Applications: Autonomous vehicles, facial recognition, healthcare imaging.
- Emerging trends: GANs, real-time object detection, and AR/VR.
Module 8
Participant’s Eligibility
- AI and machine learning professionals
- Students and researchers in computer science, robotics, and AI
- Developers interested in visual data processing
- Professionals in healthcare, retail, automotive, and security sectors
Module 9
Important Dates
Module 10
Registration Ends
2025-02-15
Indian Standard Timing 02:00 PM
Module 11
Workshop Dates
2025-02-15 to 2025-02-17
Indian Standard Timing 03:00 PM
Module 12
Workshop Outcomes
- Solid understanding of Computer Vision concepts and techniques
- Practical skills in building and deploying vision-based models
- Proficiency in tools and frameworks for Computer Vision projects
- Insights into challenges and emerging trends in visual AI
- Preparedness for roles in Computer Vision across various industries
Module 13
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 14
Student
INR. 1999
USD. 45
Module 15
Ph.D. Scholar / Researcher
INR. 2499
USD. 50
Module 16
Academician / Faculty
INR. 2999
USD. 55
Module 17
Industry Professional
INR. 4999
USD. 75
List of Currencies
Module 18
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 19
Future Career Prospects
- Computer Vision Engineer
- AI Specialist in Visual Data
- Research Scientist in Computer Vision and AI
- Product Manager for Vision-Based Applications
- Autonomous Systems Developer
Module 20
Job Opportunities
- Vision AI Developer for Healthcare or Retail
- Data Scientist specializing in Image Analytics
- Robotics Vision Engineer
- Researcher in Autonomous Driving Technologies
- Video Analytics Specialist
Module 23
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 24
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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