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100% Job Assistance!

Full Stack Computer Vision Career Path- Beginner

Become a Computer Vision specialist in just 4 months through intensive hands-on training and learn how to build your own computer vision model from scratch.
  • Small Cohorts
  • Personalized attention
  • Hybrid mode - Live (online) + Self-paced
  • Domain Specialization
  • 100 % Job Assistance
Get Started with Your Learning Journey
Fill out the form, and our team will connect with you to assist you in starting your learning journey.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

You Are Here Because…

You're ready for a change
You want a career that challenges and excites you—one that finally feels right.
You want job security and growth
A well-paying, in-demand career in data analytics is the opportunity you’ve been looking for.
You need future-proof skills
The world is evolving fast, and you want to stay relevant with skills that last.
You value expert guidance
Learning from professionals who’ve been there gives you the confidence to move forward.

Your Career Path To Full Stack Data Analyst

1
Master the Foundations of Data Analytics
Gain expertise in the most in-demand skills like SQL, Python, and data visualization with our industry-aligned core curriculum.
2
Master the Foundations of Data Analytics
Gain expertise in the most in-demand skills like SQL, Python, and data visualization with our industry-aligned core curriculum.
3
Build Proof of Work
Work on 15+ industry projects and case studies to develop a portfolio that demonstrates your expertise. Showcase real-world solutions to stand out to recruiters and hiring managers.
4
Get Placement-Ready Credentials
Achieve placement eligibility by maintaining 80% attendance, mastering 80% of the core curriculum, and excelling in soft skills evaluations.
5
Perfect Your Interview Skills
Polish your resume, practice mock interviews, and receive 1:1 feedback to ensure you’re prepared to impress recruiters.
6
Unlock Multiple Career Pathways
Access job opportunities through:
SkillCamper’s hiring partners
NSDC-backed placements
Leading platforms like LinkedIn and Naukri
7
Get
100% Job Assistance!
Gain expertise in the most in-demand skills like SQL, Python, and data visualization with our industry-aligned core curriculum.
What You'll Learn
Curriculum Designed For Career Success

Learn Essential Skills & Tools

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Data Analytics is the Career of the Future

IN-DEMAND CAREER
40%
Increase in demand for advanced roles by 2030
MASSIVE JOB OPENINGS
1M +
Job openings and counting for Data Analysts worldwide.
SKYROCKETING GROWTH
25%
Annual growth rate of the data analytics industry
BIGGEST GROWING INDUSTRY
$550 Billion
Amount industry is set to grow, by 2028

Industry Specialization -
Why You Need It & How We Deliver

Why Industry Knowledge Matters
In data analytics, domain-specific knowledge is essential. Understanding the unique challenges and opportunities within an industry enhances your skills and appeal to employers. Here's why mastering industry knowledge is crucial:
Relevance:
Applying data analytics within a specific context, such as healthcare, finance, or marketing, demonstrates your ability to address real-world problems.
Competitive Edge:
Specialized knowledge sets you apart from other data professionals who may only possess general analytical skills.
Career Advancement:
Mastery of industry-specific analytics can lead to higher-level roles within specialized fields, enhancing your career growth and potential earning power.
How We Provide Industry Specialization
At SkillCamper, we don’t just teach data analytics; we ensure you can apply it effectively in the real world. Here’s how we help you specialize:
Tailored Curriculum Options:
Choose from a variety of industry tracks such as Financial Analytics, Banking Analytics, Ecommerce Analytics, and more.
Expert Instruction:
Learn from instructors who are not just educators, but also seasoned professionals from the very industries you're interested in.
Real-World Projects:
Tackle actual industry problems through case studies designed by practitioners at top leading companies like Microsoft, Citibank and many more, giving you hands-on experience.
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Image Enhancement and Filtering
Learn to enhance image quality using basic image processing techniques like blurring, sharpening, and edge detection. This foundational skill is crucial for preparing images for further analysis.
Skills learned:
Image filtering
edge detection
blurring
sharpening
Basic Object Detection in Images
Understand how to detect objects within images using bounding boxes and simple detection algorithms. Lay the groundwork for developing systems that can identify objects in various scenarios.
Skills learned:
Object detection
bounding box creation
using detection algorithms
Image Classification of Everyday Objects
Train a simple CNN to classify images into categories like animals, vehicles, or everyday items. This project introduces you to deep learning concepts and how they’re applied in image classification.
Skills learned:
Image classification
CNN basics
training deep learning models
Face Detection in Photos
Learn to detect faces in photos using algorithms like Haar cascades. This hands-on project provides a foundation in object detection and recognition systems.
Skills learned:
Face detection
Feature recognition
Algorithm implementation
Panorama Stitching
Combine multiple images to create seamless panoramic views using keypoint detection, feature matching, and image alignment techniques.
Skills learned:
Keypoint detection
Feature matching
Image stitching
Tracking Moving Objects in Videos
Track objects like moving balls or people in a video sequence using basic tracking algorithms. This project introduces the essentials of object tracking and algorithm implementation.
Skills learned:
Object tracking
Video analysis
Tracking algorithm implementation
Color-Based Image Segmentation
Segment images into meaningful regions by identifying specific colors and grouping similar pixels. Learn how segmentation techniques are used in organizing image content.
Skills learned:
Image segmentation
Color detection
Pixel classification
Edge Detection for Shape Identification
Detect edges in images to identify shapes and structures. This project focuses on preprocessing techniques that lay the foundation for more advanced computer vision tasks.
Skills learned:
edge detection
shape identification
Preprocessing techniques

An Intelligent Learning Platform That Feels Like A Personal Mentor

Completing Python Libraries for Data Science will give you practical skills to work with Python for data manipulation and analysis. Here’s what you’ll be able to do:
Learn by Doing with Interactive Lessons
Watch real-time screencasts and code along in an interactive environment.
AI-Powered Feedback to Sharpen Your Skills
Get instant feedback on your code, understand mistakes, and improve faster.
Hands-On Practice in Skill Lab
Apply what you learn through exercises in our integrated coding environment.
Track Your Growth with Built-in Analytics
Monitor progress, identify strengths, and stay on top of your learning journey.
Assess Your Skills & Get Scores
Take assessments, measure your performance, and see where you stand.
Unlock Career Opportunities with Job Board Access
Connect with job listings and take the next step toward your data analytics career.

Meet Your Instructors

Our Career Path instructors are experts with real-world experience. They've been in your shoes. They make learning fun and easy. They will motivate and support you every step of the way.
Bhagyashree Kulkarni
Data Science Educator
25+ years of experience
A mentor with 2000+ hours of teaching, guiding professionals from HCL, IBM, and TCS. She specializes in predictive analytics and machine learning.
Sahin Ahmed
Data Scientist
5+ years of experience
Specializing in machine learning and data visualization, Sahin has delivered 2000+ hours of courses and builds predictive models at Publicis Media.
Miti Bhat
Director of Technology
20+ years of experience
An expert in data science education, Miti has delivered 2000+ hours of training and led workshops on practical analytics.
Shrey Jain
Lead Data Scientist
5+ years of experience
With expertise in deep learning and AI, Shrey has mentored students at Scaler and Alma Better and drives analytics at Scienaptic.AI.
Subhashini Sharma Tripathi
Data Scientist
20+ years of experience
Founder of Pexitics and author of analytics books, Subhashini has trained thousands in Python, R, and AI.
Usha Rengaraju
AI Engineer
Kaggle Grandmaster
10+ years of experience
Founder of Pexitics and author of analytics books, Subhashini has trained thousands in Python, R, and AI.
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Is This Program Right For You?

You'll fit right in if
Career Advancement:
Mastery of industry-specific analytics can lead to higher-level roles within specialized fields, enhancing your career growth and potential earning power.
You value a supportive community.
You want to learn alongside a network of peers and experts who are as invested in your success as you are.
You're committed to making a career change.
You're done with feeling stuck in your current job and are prepared to invest time and effort to change your career trajectory.
You seek quality education at a fair cost.
You believe in getting quality education without spending tens of thousands, ready for a significant career leap.
You love solving puzzles and facing challenges.
You thrive on tackling complex problems and enjoy the process of finding innovative solutions.
You appreciate personalized learning.
You prefer an educational environment where your unique needs are met, and you aren’t just another face in the crowd.
We're not for you if
You’re only interested in theory.
If you’re interested primarily in theoretical knowledge without applying it to real-world projects, this might not be the fit.
You're looking for a quick fix.
If you’re not ready to dedicate time to fully engage in the learning process, this program won't meet your expectations.
You want a casual learning experience.
We’re focused on delivering skills that employers demand, not just casual learning that doesn’t lead to job readiness.
You're undecided about a career in data analytics.
If you’re still exploring whether data analytics is right for you, you might want to start with some introductory resources first.
You’re not ready to invest in yourself.
Our program requires a commitment to personal and professional growth.
You don't enjoy working with numbers and data.
Our curriculum centers around data analysis, which is integral to every aspect of our training.

Land Your Dream Job With

100% Job Assistance!
Craft a Winning Resume
Get expert help building a resume that showcases your data skills.
Company Screening & Selection
Get expert help building a resume that showcases your data skills.
Nail Your Interview
Get expert help building a resume that showcases your data skills.

How is SkillCamper Different from Other Online Courses?

Live Training
Small Cohort Size
True Project-Based Learning
Personalized Mentorship
1:1 Doubt Solving
Job-Ready Portfolio
Blended Learning for Working Professionals
Made Solely for Working Professionals
Career Transition Assistance
Affordable
15+ Industry Case Studies
No time commitment
Video Courses
SkillCamper
Bootcamps

Learner Reviews

Our courses and community have helped learners just like you kickstart & progress rapidly in their careers.
Sanjay Shah
Civil Engineer
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“The projects and the friendly community make learning fun and helpful. “
Ashish Lodhe
Application Support Engineer (Now Analyst at Accenture)
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“This platform doesn’t just teach tools—it focuses on real-world application and domain knowledge, which makes a huge difference.”
Suman M
Maxlife Insurance (Axis Bank Branch Banking)
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“Everything is explained in a way that makes sense, even for beginners. The lessons are clear, and I never felt lost at any point.”
Ravi Prakash
Automation Test Analyst
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“The way topics are broken down makes them so much easier to understand.”
Ayush Sharma
Relationship Manager at City Union Bank
“Every time I had questions, they were addressed, and the sessions have been really good.”

Invest In Yourself

Choose the Plan That Fits Your Goals!
SELF PACED

$299

Start Now
LIVE INTERACTION

$599

Start Now
Recorded Content
Full Session Recordings
Study Materials
Projects/Assignments
Assignments
Capstone Project
Portfolio Development
Personalized Support
Small Cohort Size (10 Learners)
Community/Support
WhatsApp Support
Peer Learning Groups
Industry Specialization
Domain-Specific Modules
Tailored Projects for Specialization
Industry-Grade Case Studies
Industry Specialization
Resume Templates
Resume Building
Mock Interviews
Placement Support
LinkedIn Optimization
Job Search Support
Job Board Access
Career Guidance Until Placement
Eligibility for Interview
Completion of Core Modules
Skill Readiness Assessment (80% Attendance)
Live Sessions
Mentor-Led Sessions
Industry Expert Guest Sessions
Doubt-Clearing Sessions

Get Certified

Showcase Your Skills with Confidence

Frequently Asked Questions

What technologies will I learn in the Computer Vision Bootcamp?
You’ll learn essential tools like OpenCV for image processing, TensorFlow and Keras for deep learning, and various techniques for object detection and image classification. These technologies are widely used in AI and computer vision applications, helping you build industry-ready skills.
Do I need any prior experience to join the Computer Vision Bootcamp?
No prior experience is required. This course is beginner-friendly, and we’ll guide you step-by-step from the basics of computer vision to advanced model-building techniques. Whether you’re new to programming or AI, this bootcamp is designed to get you up to speed.
How long does the Computer Vision Bootcamp last, and can I learn at my own pace?
The bootcamp spans 4 months, and you can learn flexibly at your own pace or join live classes with industry experts. With an expected time commitment of 15–20 hours per week, the bootcamp is ideal for working professionals looking to balance learning with their current schedules.
What will I learn during the Computer Vision Bootcamp?
You’ll explore image processing, feature detection, object detection, image classification, transfer learning, and semantic segmentation. You’ll gain practical skills by building computer vision models from scratch and solving real-world problems.
Will I have access to the course materials after completing the bootcamp?
Yes, you’ll retain lifetime access to all course materials, including video lessons, recorded sessions, and project files. This allows you to revisit content and continue practising even after the bootcamp ends.
What kind of career support will I receive during and after the bootcamp?
You’ll receive 1:1 mentorship, personalised resume-building workshops, and mock interviews with industry experts. Additionally, you’ll have access to our network of partner companies to help you find job opportunities in AI and computer vision.
What makes this Computer Vision Bootcamp different from others?
Our bootcamp offers real-world projects that give you hands-on experience with computer vision. You’ll also receive 1:1 mentorship, flexible learning options, and a 7-day money-back guarantee, so you can explore the course risk-free.
What is the cost of the bootcamp, and are there payment options?
The bootcamp costs ₹75,000, and we offer easy EMI payment plans to make the course more affordable. You can try the program with our 7-day no-questions-asked money-back guarantee to ensure it’s the right fit for you.
What types of projects will I work on during the bootcamp?
You’ll work on hands-on projects like object detection, image classification, and semantic segmentation. These projects are designed to help you apply what you’ve learned to real-world problems, building a portfolio that showcases your computer vision skills.
How will this bootcamp help me start a career in computer vision?
By the end of the bootcamp, you’ll have built a strong portfolio of computer vision projects and gained hands-on experience with industry-relevant tools. Our career support, including mock interviews and access to job opportunities, will help you confidently enter the job market in AI or computer vision.
I don’t have a tech background; can I still take this course?
Absolutely. This course is beginner-friendly and covers essential computer vision skills starting from scratch.
Don't Just Learn. Specialize.
India's only course with industry specialization in the domain of your choice.
50+
Industry case studies
10+
Problem solving frameworks
Experience 360° deep specialized learning
50+
Assignments
10+
Industry Projects
100+
Hours of Learning
Learn with Ai
Our program incorporates modern Gen AI based workflows for data science so that you are equipped with the tools of the future.
Made for working professionals
Enjoy flexible learning options. Go at your own pace or learn through live classes with industry experts.
Placement support from dedicated counselors
Mock interviews with senior industry leaders
Craft the perfect resume
Access our network of partner companies
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Ready to become a Data Scientist that industry loves to hire? Apply Now. 

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