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Course Features
Comprehensive Curriculum
Hands-on Projects
Quizzes & Challenges
Self-Paced Learning
Live Mentorship
Downloadable resources
Diverse CNN Architectures
GPU Cloud Providers
GANs Introduction
Practical Projects
Completion Certificate
Lifetime Access
What you'll learn?
Foundations of Computer Vision (CV)
CV Advanced
DL for CV
CNN in Computer Vision
Object Mapping
Image Ops
Motion Tracking
Applied CV Architectures
Prerequisites
Computer with a stable internet
4GB+ RAM
Python & ML Basics
Linear Algebra Basics
Extra skills you'll learn by choosing SKOLIKO
Project Management
Strategic Thinking
Tech-Savvy Mindset
Professional CV Crafting
Interview Preparation
Networking with Industry Experts.
Career Development
Organizational Culture
GET CERTIFICATE | GET PLACEMENT IN TOP COMPANIES
Upon successful completion of this course and all assessments, you'll earn a valuable certificate. This credential formally validates your newly acquired skills and knowledge, serving as a tangible testament to your dedication and achievement in this field.
SKOLIKO is an innovative leader in the education industry, committed to bridging the divide between academic and professional spheres.
Embrace change, pursue growth
relentlessly, and let your passion drive
| Course Overview
- Level: Intermediate to Advanced (Basic Python knowledge required)
- Format: Online, self-paced with live mentorship
- Duration: 6–8 weeks (flexible schedule)
- Certification: Industry-recognized completion certificate
- Tools/Libraries: TensorFlow, Keras, OpenCV, Detectron2, YOLOv5, Roboflow, and more.
| Why Choose SKOLIKO?
- Career-Centric Approach: Beyond theory, we focus on employability with resume reviews and internship opportunities.
- Cutting-Edge Content: Covers Detectron2 and YOLOv5—tools used at top AI labs.
- Community-Driven: Collaborate on Kaggle competitions and open-source projects.
Enroll Now to Build AI Solutions That See the World!
| Why This Course Matters in 2025
- AI-driven Vision is Everywhere: From security surveillance and autonomous driving to e-commerce and healthcare, computer vision is transforming every industry.
- Demand: AI roles in vision systems, surveillance, robotics, and medical imaging are skyrocketing.
- Future-proof Skill: Learning CV opens doors to R&D, product dev, freelancing, and startup innovation.
| Who Is This Course For?
- Final-year or recent graduates in CS, IT, or EE
- Software developers upskilling to AI
- AI enthusiasts building a portfolio
- Freelancers & career changers
| Next Steps After Completion
- Build a polished AI Portfolio with real-world CV projects
- Apply for Internships or Job Roles via SKOLIKO's portal
- Get Resume + Interview Prep Support
- Work as a Freelancer, R&D assistant, or Junior AI Engineer
- Advance into specialized roles in Medical Imaging, Retail AI, or Autonomous Systems
MODULES
Course Introduction and Preview
Understanding CNN: Foundations and Intuition
Understanding CNN Architectures: An Overview
Optimizing Image Classification: Hyperparameter Tuning Strategies
Data Augmentation: Enhancing Training Data for Improved Performance
Introduction to Object Detection: Understanding the Basics
Exploring Object Detection Architectures: An Overview
Practical Guide to Object Detection using TensorFlow 1.x
Training a Custom Cards Detector using TensorFlow 1.x: A Practical Guide
Creating a Cards Detector Web App with TensorFlow Object Detection 1.x (TFOD1)
Practical to Object Detection using TensorFlow 2.x
Training a Custom Chess Piece Detector using TensorFlow 2
Practicals Creating an Chess Piece Detector Web App with TFOD2
Practicals Object Detection using Detectron2
Practicals Training a Custom Detector using Detectron2
Practicals Creating an Custom Detector Web App with Detectron2
Practicals Object Detection using YoloV5
Practicals Training a Custom Warehouse Apparel Detector using YoloV5
Practicals Creating an Warehouse Apparel Detector Web App with YOLOV5
Introduction to Image Segmentation: Understanding the Basics
Practical Implementation of Mask RCNN with TensorFlow Object Detection (TFOD)
Practical Implementation of Mask RCNN with Detectron2
Object Tracking Project: Overview and Scope
GANs: An Introduction to Generative Adversarial Networks
Object Tracking Project
Course duration - 65 Hours
|Course day - every week "Saturday"
|Course time - 04:00pm to 07:30pm
Instructor
Vincent Thomas Varghese
Experienced TechnoStrategist
Experienced Technostragist with three decades in IT, excelling in Sales, Product Management, and Marketing across IT hardware, networking, and software. Proven strategic planner, startup pioneer, and mentor for large teams. Marketing authority in areas such as Business Incubation, Branding, and Sales. Vast industry expertise spans ITES, IT Hardware, IT Training (Software), Distribution, and Retail. Recognized for interpersonal leadership, intuitive decision-making, and a collaborative approach. Complemented by four years as a Data Scientist, enhancing analytical and problem-solving skills with a deep passion for coding and a knack for simplifying complex concepts,
SKOLIKO is an innovative leader in the education industry, committed to bridging the divide between academic and professional spheres. We provide customized AI solutions that facilitate sustainable business expansion and address complex challenges.
