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You may be missing out on a 66.5% salary hike*

Nick Camilleri

Head of Career Skills Development & Coaching
*Based on past data of successful IK students
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FREE course on 'Sorting Algorithms' by Omkar Deshpande (Stanford PhD, Head of Curriculum, IK)

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Transform Your Career with Cutting-Edge Computer Vision Skills

Designed by FAANG+ AI/ML Engineers to help you transform your career

  • Gain a deep understanding of Deep Learning and Neural Architectures
  • Gain practical expertise in Computer Vision and Image Classification
  • Get hands-on experience for real-world applications and job-readiness
Front-end Engineers!
Get interview-ready with lessons from FAANG+ engineers
Master core Front-end interview concepts
Sharpen your coding and system design interview skills
Front End Developer
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500+

Instructors, Coaches & Interviewers from Top Companies

20,000+

Students

66.5%

Avg. salary hike for alums who upleveled

Tools you’ll learn

Who Is the Computer Vision Course For?

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Data Scientists and Machine Learning Engineers
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AI/ML professionals already working in ML model-building roles

Prerequisites

Comprehensive Curriculum
Strong foundation in Python
Rigorous Mock Interviews
Basic understanding of Linear Algebra, Calculus, and Statistics
Plenty of 1 x 1 Help
Proficiency in Classical Machine Learning

Curriculum Modules in the Advanced CV Course

Introduction to Deep Learning
1

Deep Learning & its applications

2

Deep Learning vs Neural Networks

3

Activation Functions

4

Loss Functions

Deep Learning Data Structures
1

Basic Tensor operations

2

NN model training using Pytorch

3

Notebooks on Keras

Neural Network Architectures
1

CNN deep dive

2

Conv layer, conv operation

3

Max pooling layer

4

A typical CNN architecture

Image Classification & Transfer Learning
1

Introduction to Computer Vision

2

Fundamentals of Image Processing: Enhance or Analyze images

3

Image Classification: Using transfer learning, VGG

Object Detection & YOLO
1

Object Detection: Haar Cascade Classifier, R-CNNs

2

Image Similarity: Siamese Networks

Image Segmentation & Image Similarity
1

YOLO

2

ResNet

3

Image Segmentation and Unet

Bonus Content: Modern ML Architectures, Overview of Generative AI for Images
Capstone Project: BinSense AI for E-commerce Inventory Management

Develop an advanced computer vision system to identify items in bins, estimate their quantities, and update inventory in real time.

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Why Choose the Advanced Computer Vision Course

Comprehensive Curriculum

Market-focused Computer Vision Course

Skills, case studies, and projects that provide exposure to CV applications across industries, giving you a competitive edge in the job market
Rigorous Mock Interviews

Flexible Program by FAANG+ CV Experts

25+ hours of premium video content featuring cutting-edge insights from FAANG+ engineers, offering direct access to industry best practices and emerging trends
Plenty of 1 x 1 Help

Capstone Projects for Hands-on Experience

Complete focus on real-world applications, ensuring you gain practical, job-ready skills in Computer Vision
Career Skills Development

Industry-relevant Concepts and Tools

Cutting-edge Computer Vision skills that are highly sought-after in today's job market, including CNN, Transfer Learning, and SOTA models like YOLO and ResNet
Salary Negotiation

Comprehensive Curriculum

End-to-end coverage of Computer Vision designed to cater to everyone from beginners in ML/DS to advanced practitioners
Salary Negotiation

Comprehensive Coaching and Support

Weekly technical coaching sessions with industry veterans, plus 24x7 access to Teaching Assistants, ensuring prompt doubt resolution and continuous learning support

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  + Instructors to Train You in Live Classes

Shruti Goli

Senior Product Manager, Incode

Ahsan Ali

Applied Scientist

Randy Cogill

Senior Research Scientist

Jay Pillai

Engineering Leader - GenAI
FAANG+ Leader

The IK Experience: What Our Alumni Are Saying

Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.

Mike Kane

Lead Data Engineer
Placed at :

For many working professionals, going through examples and different perspectives are very valuable…. Interview Kickstart was great because its structure helped me understand each problem in my interview. The high sense of comradery in Discord was also great! I had a study group with other people in my cohort and felt the engagement was much stronger than in an academic setting.

Davide Testuggine

Software Engineer
Placed at :

What turned me to Soham’s course is the way he talked about the course as not a substitute for hard work, not a “cheat sheet” of questions but a way to actually get good at algorithms, through a lot of perspiration. The course is very intense…practice, practice, practice. And it works!.... All that practice had a long-lasting effect on my ability as a software engineer. I am simply faster at coding than I ever was…. I can keep focused on the idea if the implementation takes a few minutes as I don't get lost on implementation details anymore, so the productivity increase I experienced is greater than just the delta in time for the implementation itself.

Mike Kane

Lead Data Engineer
Placed at :

For many working professionals, going through examples and different perspectives are very valuable…. Interview Kickstart was great because its structure helped me understand each problem in my interview. The high sense of comradery in Discord was also great! I had a study group with other people in my cohort and felt the engagement was much stronger than in an academic setting.

Davide Testuggine

Software Engineer
Placed at :

What turned me to Soham’s course is the way he talked about the course as not a substitute for hard work, not a “cheat sheet” of questions but a way to actually get good at algorithms, through a lot of perspiration. The course is very intense…practice, practice, practice. And it works!.... All that practice had a long-lasting effect on my ability as a software engineer. I am simply faster at coding than I ever was…. I can keep focused on the idea if the implementation takes a few minutes as I don't get lost on implementation details anymore, so the productivity increase I experienced is greater than just the delta in time for the implementation itself.

How to Enroll for Interview Kickstart’s Advanced CV Course

Learn more about Interview Kickstart and the Advanced CV Course by joining the free pre-enrollment webinar.

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FAQs

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How do I enroll in the program?
2
Is the Advanced Computer Vision Course self-paced or live?
3
How much time would I need to put in each week for this Computer Vision program?
4
What are the prerequisites for this Advanced Computer Vision Course?
5
Will I have access to the modules in Advanced Computer Vision after I complete the program?
6
Why is learning Computer Vision important for ML Engineers and Data Scientists?
7
Is Computer Vision difficult to learn?
8
Why should I take Interview Kickstart’s Advanced Computer Vision Course?
9
Will the Advanced Computer Vision Program help my career?
10
What kind of projects or real-world applications are part of the course?
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