Deep Learning with Generative AI for Computer Vision
Deep Learning with Generative AI for Computer Vision
Dive into the transformative world of Generative AI for Computer Vision with our comprehensive course. This program is designed to equip participants with advanced skills in deep learning and generative techniques to address challenges in computer vision, from image restoration to multimedia quality assessment.
Programming in Python
This course is a concise yet comprehensive program tailored for B.Tech/MCA/BCA/M.Tech students and corporate professionals. Covering Python fundamentals, control flow, functions, file handling, and object-oriented concepts, participants gain hands-on experience to code, analyze data, and develop applications efficiently. No prior experience required, making it ideal for beginners and experienced programmers alike.
Program Duration
30 hours
Learning Format
Self-Paced Learning
Course Price
₹499 (Inc. GST)
Our Alumni Work At
Course Curriculum
Module 1 : Evolution of Artificial Intelligence with Deep Learning
Understand the history and advancements in AI and how deep learning emerged as a transformative force in the field.
- Section 1 : Online Session 1
- Section 2 : Lab Session 1
Module 2 : Neural Network and Back Propagation
Learn the fundamental concepts of neural networks, their architecture, and the backpropagation algorithm.
- Section 1 : Online Session 2
- Section 2 : Lab Session 2
Module 3 : Neural Networks-Optimization and Regularization
Explore techniques for optimizing neural network performance and preventing overfitting through regularization methods.
- Section 1 : Online Session 3
- Section 2 : Lab Session 3
Module 4 : Convolutional Neural Networks
An introduction to CNNs and their application in solving complex image-processing tasks.
- Section 1 : Online Session 4
- Section 2 : Lab Session 4
Module 5 : Basic CNN Architectures
Dive into widely used CNN architectures such as AlexNet, VGGNet, ResNet, and Inception.
- Section 1 : Online Session 5
- Section 2 : Lab Session 5
Module 6 : Transformer Network Attention and Self-Attention
Learn about the attention mechanism, self-attention, and how transformers have revolutionized deep learning in computer vision.
- Section 1 : Online Session 6
- Section 2 : Lab Session 6
Module 7 : Autoencoders
Understand the role of autoencoders in unsupervised learning, data compression, and representation learning.
- Section 1 : Online Session 7
- Section 2 : Lab Session 7
Module 8 : GAN and it’s Variants for Various Applications
Explore generative adversarial networks, their working principles, and applications in creative and analytical domains.
- Section 1 : Online Session 8
- Section 2 : Lab Session 8
Module 9 : Image and video restoration for automated applications
Hands-on experience in enhancing image and video quality for automated systems.
- Section 1 : Online Session 9
- Section 2 : Lab Session 9
Module 10 : Human Visual System and Multimedia Quality Assessment
Learn about the human visual system and its role in assessing multimedia quality.
- Section 1 : Online Session 10
- Section 2 : Lab Session 10
Program Outcomes
Understand the evolution of AI and its applications in deep learning for computer vision.
Apply GANs and their variants to diverse generative AI
applications.
Design and optimize neural networks for real-world computer vision
tasks.
Perform image and video restoration using state-of-the-art
techniques.
Implement advanced architectures like CNNs, transformers, and autoencoders.
Assess multimedia quality using human visual system-based
metrics.
Certification Benfits
- Enhanced career opportunities
- E&ICT Adacemy, IIT Kanpur Certification
- Recognition and credibility in the industry
- Skill development and professional growth
Prerequisites
- No experience is required. But fundamental knowledge of C/C++ and statistics would be helpful.
Admission Closes on 5 March
Skills Covered
- Business Strategic & Analytics
- Operations Management
- Decision Making Tools
- Finance & Economics
- Marketing Management
- Organizational Behavior and Design
- Human Resource Management
- Breakthrough Management
- Management Communication
- Green Manufacturing
- Ethics & Values in Business
- Interpersonal Skills & Leadership
- Vision to Execution Entrepreneurship
- Micro and Macro Economics
- Leadership & Decision Making
- Frontier Technologies in Manufacturing
- Strategies for Managing Innovation
- Technology Management
- Advance Materials
- Automation & Robotics in Manufacturing
- Computer Integrated Manufacturing Systems
Know your faculty
Prof. Amey Karakare
Prof. Amey Karakare is a Head Of The Department (HOD) for CSE branch at IIT Kanpur. Developed and maintains Prutor, a renowned Learning Management System (LMS) for programming courses, enhancing the learning experience for students and streamlining tasks for instructors since 2013. Recognized with prestigious awards including the 1989 Batch Faculty Award from IITK Alumni Association and the Best Faculty of the Year 2018 award from the Computer Society of India’s Mumbai Chapter. Offers popular online Python courses that have garnered significant popularity among Indian students and faculty members. Conducts Faculty Development Workshops on diverse topics, including Python programming, Machine Learning, and High-Performance Computing, contributing to educational advancement. Key involvement in high-impact projects sponsored by government agencies, such as setting up Rashtriya Avishkar Labs in over 150 schools and leading the Electronics and ICT Academy at IIT Kanpur, dedicated to training faculty and students.
How this course Benefits you:
- Gain expertise in building and deploying deep learning models for computer vision.
- Learn advanced techniques in GANs, CNNs, and transformers.
- Practical understanding of image and video processing for real-world applications.
Who is this course for :
This course is exclusively for faculty members of colleges and universities; it is not available to students or professionals. Please note that payment is non-refundable once processed.
Principal Coordinator
Dr. B. V. Phani
Course Mentor
Aparajita Ojha
Professor of Computer Science and Engineering at PDPM IIITDM Jabalpur (India ) with more than 37 years of experience. Research interests include machine learning, deep learning and computer vision. Steganography and steganalysis and robot path planning.
Course Fee
TOTAL PROGRAM FEE
- Course Type: Self-Paced Learning
- Skill Level: Beginner to Intermediate
- Certificate: Yes
Data Science Course Fee
- A bachelor's degree with an average score of at least 50%
- Prior knowledge or experience in programming and mathematics
- 2+ years of formal work experience (preferred)
Best Suited For
- Software Engineers
- Freshers
- BI Developers
Important Dates
22nd September, 2022 (Thursday)
- Online portal for application opens
18th November, 2022 (Friday)
- Online portal for application closes
18th November, 2022 (Friday)
- Receipt of letters of recommendation by Referees closes
23rd November, 2022 (Wednesday)
- Last date of receipt of physical applications
26th November, 2022 (Saturday)
- Shortlisting candidates for written test
11th December, 2022 (Sunday) (tentative)
- Written test at 4 locations (Delhi, Calcutta, Mumbai, Chennai)
14th December, 2022 (Wednesday)
- Shortlisted candidates for personal interview
1st January, 2023 (Sunday)
- Personal interview at IIT Kanpur
03rd January, 2023 (Tuesday)
- Selected candidates for admission
Apply Now
FAQs
Are there any benefits with the certification
E&ICT Academy, IIT K Certification is considered highly valuable and with hands on experience, getting a job would become that much more easy.
Who is the target audience for this course?
- B.Tech/MCA/BCA/M.Tech Students
- Working Professionals from Corporate
Does the certification lead to an alumni status from IITK
No