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80% practical · 8+ projects · Pantech - SVNIT dual cert
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Computer Vision using AI and Deep Learning
Learn AI-powered computer vision applications. Explore deep learning, image recognition, object detection, and real-world deployment with Python and OpenCV.
Computer Vision using AI and Deep Learning
Comprehensive Syllabus Outline
A comprehensive curriculum designed to take you from beginner to professional.
Capstone Project
AI Vision Systems Portfolio
Build end-to-end intelligent vision applications demonstrating practical implementation of computer vision and deep learning techniques used in modern AI solutions.
Tech Stack
Master the primary professional software development packages and workflow tools.
After this Course, You will be Able to
Observe the real-world utility outcomes you gain after program completion.
Course Stats
₹12.35 LPA
Average Salary₹42 LPA
Highest Salary135%
Salary Hike7+ Companies
Hiring PartnersKey Features
Mentorship
Receive guidance and insights from industry expertsHands-on Experience
Gain practical skills in a real-world cutting-edge projects.Networking
Connect with professionals and peers in your fieldSkill Development
Enhance your technical and soft skillsCareer Advancement
Boost your resume with valuable experienceDual Certificate
Get a certification to showcase your achievementsLet Your Certificates Speak For You
Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.
Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.
Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.
Where Our Learners Work
Our alumni are driving innovation at the world's most prestigious technology companies.
Why Pantech?
An expert-crafted learning infrastructure built for technical fluency.
Industrial Expert Mentors
Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.
24/7 Interactive Support
Ask coding doubts anytime on our student community workspace and receive instant assistance.
Self-Paced Learning Engine
Access lifetime recorded modules with adaptive pacing to balance academics and professional work.
Career Guidance Support
Exclusive resume review, mock interviews, and placement assistance from industry experts.
We are Accredited by
What Our Students Say
See how Pantech courses accelerated career transitions across India.
Student Pantech
VERIFIED LEARNERStudent Pantech
VERIFIED LEARNERGet exclusive lifetime access to coursework, simulators, custom templates, and direct placement opportunities.
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+91 8925533488/89
Frequently Asked Questions
Find instant answers to all common questions about our technical certificate courses.
No prior experience is required for foundational modules. Advanced topics may recommend basic knowledge in programming or electronics.
You can reach our support team at training@pantechelearning.com or call +91 89255 334 88 / 89.
You’ll cover: Deep learning foundations for computer vision Image recognition and classification techniques Object detection using Python and OpenCV Real-world deployment strategies for AI models Hands-on projects to apply concepts in practice
The program includes 5 structured modules, designed to be completed at your own pace, typically within 4–6 weeks.
Yes, upon completion you’ll receive a verified certification from Pantech eLearning, which can be shared on LinkedIn and with employers.
The AI-Powered Computer Vision Applications course is available for ₹1,499, inclusive of all modules and certification.
Yes, you’ll apply your skills in a guided computer vision project, such as image recognition or object detection, to reinforce concepts and demonstrate practical learning outcomes.
Absolutely. Once enrolled, you’ll have lifetime access to the course videos, notes, and resources.
Basic Python programming knowledge is recommended. Prior exposure to machine learning concepts will be helpful but is not mandatory.
Learners will work on Smart Attendance Systems, Face Recognition Systems, Vehicle Detection and Counting, Image Caption Generation, OCR applications, and Drowsiness Detection projects.
The course covers Python, OpenCV, CNN-based image classification, YOLO object detection techniques, OCR methods, and various computer vision libraries.
Yes. Every major module includes practical implementations and project-oriented exercises to reinforce theoretical concepts.
The skills acquired are applicable to roles such as Computer Vision Engineer, AI Engineer, Machine Learning Engineer, Image Processing Engineer, Intelligent Automation Developer, and Applied AI Research Engineer.
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