IIT (ISM) Dhanbad
Mastering AI and Computer Vision -
Design and Build Intelligent Solutions
₹ 9,999/- (Inclusive of all applicable taxes)
Duration - 3 months (This price includes 3 add-on prep courses)
Registrations are closed
No Cost EMI Option Available
About the programme
This is a 3-month certification programme in Computer Vision that offers a dynamic pathway to career advancement and professional success across this domain. In an era defined by data-driven decision-making and technological innovations, the demand for skilled AI practitioners is at an all-time high. Individuals will gain the expertise needed to harness the power of data, develop predictive models and unlock actionable insights that drive business growth and innovation by investing in this programme. Through this certification course, candidates will get the opportunity to learn from IIT professors and leading industry experts in the domain.
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Key highlights
Over 65 hours of overall experiential learning in the domain of Computer Vision
3 add-on prep courses on Python Programming, Statistics Essentials and Machine Learning
Continuous end-of-module assessments
Live Lectures for interactive learning and doubt clearing
Interaction with experts and peer networking through discussion room community
Dedicated hands-on lab sessions by IIT (ISM) Dhanbad faculty
Industry projects and use cases
Interact with industry experts from TCS and beyond
The participants are expected to have developed the following skills by the end of the programme:
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Understand Mathematical principles will help to grasp concepts and effectively apply algorithms and techniques
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Develop sophisticated models capable of handling complex tasks such as image recognition
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Understand and interpret visual information from images and videos, leading to applications such as object detection, image classification, facial recognition, and autonomous driving
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Develop systems and applications that enhance user experiences through image and video analysis, leading to improved efficiency, safety, and decision-making
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Provide learners with advanced skills in AI and Computer Vision, enabling them to stay competitive in the rapidly evolving technological landscape
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Empower learners to tackle complex problems using AI and Computer Vision techniques, leading to innovative solutions and improved decision-making
Learning Outcomes
Develop hands-on expertise in
Keras
TensorFlow
NumPy
PyTorch
Pandas
OpenCV
TorchVision
Potential Career Path
The field generates a variety of job roles, including but not limited to:
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Computer Vision Analyst
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Computer Vision Engineer
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Machine Vision Engineer
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AR/VR/XR Developer
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Image Processing Engineer
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ML Engineer
These roles require a blend of technical understanding, strategic thinking, and practical application of concepts taught in the programme.
Certificate programme recommended for
Freshers/individuals pursuing Bachelor's/Master's degree, aspiring for a career in the field of Computer Vision. Junior and mid-career professionals looking for an accelerated career growth and salary hike
Individuals interested to pursue research in the field of AI and Computer Vision to gain foundational understanding and apply domain knowledge to run start-ups
Individuals with Python programming knowledge, foundational understanding of Algebra, Probability and Statistics, basic knowledge of Machine Learning (ML) concepts, Image processing fundamentals (pixels, colour spaces), knowledge of Computer Vision libraries (CV/CV2)
Access to 3 add-on prep courses on Python Programming, Statistics Essentials and Machine Learning to help in the learning journey
Programme pedagogy
Expert-led live sessions
Engage in dynamic training sessions conducted by distinguished faculty from IIT Dhanbad along with seasoned industry professionals.
Recorded session videos
Access educational content on-demand, available for learning on any device, at any time, ensuring flexibility and convenience for revisiting the material.
Industry use cases
Get real-world experience and enhance your understanding of complex business situations through use cases.
Peer networking and expert connect
Expand your professional network and engage with experts through our interactive community platforms, facilitating enhanced learning and problem-solving.
Hands-on learning experiences
Participate in practical sessions where you will work with real-world data and public datasets, fostering a deep, experiential understanding of the material.
Live doubt solving sessions
Address your queries in real-time with direct access to experts during live sessions, ensuring clarity and immediate assistance.
Dedicated learning management team
Receive continual guidance and support from our committed learning management team, tailored to meet your educational needs and enhance your learning journey.
Programme Syllabus Overview
Download Programme CalendarThis comprehensive syllabus covering the latest industry practices and techniques on Computer Vision which spans across 3 months. This course curriculum is designed in a way that it aligns with the current industry trends and practices, making graduates job-ready and valuable to organisations. In addition, guiding the learners through the intricacies of the concepts with hands-on implementations on projects and scenarios as per the industry standards. This will provide the learner a solid foundation in building proficiency by ensuring a cohesive and thorough understanding from the basic to the advanced topics leveraging extensive hands-on implementations.
- Introduction to Computer Vision
- Image Processing Basics
- Image Segmentation
- Feature Extraction, Measurement and Matching
- Image Processing Tools and Techniques (LAB)
- CNNs for Image Classification
- Object Detection
- Object and Motion Tracking
- Structure from Depth and Motion
- Instance and Semantic Segmentation
- Face Detection and Recognition
- Image Reconstruction
- Generative Adversarial Networks (GANs) for Image Analysis
- Feature Matching and Object Detection (LAB)
- Face Detection and Recognition (LAB)
- Motion and Tracking (LAB)
Certificate Eligibility Criteria
- Learners will be awarded a co-branded digital certificate upon successful completion of the programme. The course evaluation components are modular quiz, assignment and attendance.
- Certificate of Participation (CoP): If a learner has scored less than 40% in the course evaluation criteria and live lecture attendance is less than 50%, then a CoP will be awarded.
- Certificate of Completion (CoC): If a learner has scored within the range of 40% to 70% in the course evaluation criteria and has atleast 50% live lecture attendance, then a CoC will be awarded.
- Certificate of Achievement (CoA): If a learner has scored greater than 70% in the course evaluation criteria and has atleast 50% live lecture attendance, then a CoA will be awarded.
Meet the Mentor(s)
Dr. Sushanta Mukhopadhyay completed his B.Sc. degree (Hons.) in Physics from Presidency College, Kolkata, in 1988, and B.Tech and M.Tech degrees in Radiophysics and Electronics from the University of Calcutta, in 1992 and 1994, respectively. He has completed his PhD in Image Processing from the Indian Statistical Institute, Kolkata, in 2003. From 2001 to 2003 and from 2004 to 2007, he was with Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA, as a Postdoctoral Researcher and with Nanyang Technological University, Singapore, as a Research Fellow, respectively. He is currently an Associate Professor with the Department of Computer Science and Engineering, IIT Dhanbad (erstwhile Indian School of Mines), Dhanbad, India. He has published articles in internationally reputed journals, such as the IEEE Transactions On Image Processing, the IEEE Transactions On Circuits And Systems II: Express Briefs, Pattern Recognition, and Signal Processing. His research interest includes image and video processing.
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Dr. Chiranjeev Kumar has been working as an Professor in the Department of Computer Science and Engineering at IIT (ISM), Dhanbad, India. He has received his PhD degree from Allahabad University in 2006. He was the Gold Medalist of his M.E. batch at MNNIT, Allahabad, India in 2001. In 1998, he was certified as a Certified Novell Administrator (CNA) and Certified Novell Engineer (CNE). In his 14 years of teaching and research career, he has contributed 42 research papers in several refereed journals and conference proceedings of National and International reputes. His main research interests include Mobility Management in Wireless Networks, Ad Hoc Networks, and Software Engineering. He is an IEEE member since 2006.
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Dr. Dharavath Ramesh is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Dhanbad. He has received his PhD from the Indian Institute of Technology (Indian School of Mines), Dhanbad under the supervision of Professor Chiranjeev Kumar. He completed his M.Tech in Computer Science and Engineering with specialisation in Software Engineering from Jawaharlal Nehru Technological University, Hyderabad. He has earned his B.Tech in Computer Science and Engineering from Kakatiya Institute of Technology and Science (KITS), Warangal. Dr. Ramesh’s research interests include Blockchain and Distributed Computing, Distributed Databases, Cloud Storage And Security, Modeling Big Data, Processing Big Data, Virtualization and Scheduling in Cloud Environment, Load Balancing Approaches, Deep Learning Strategies, Brain Computer Interaction, Community Detection In Social Networks, and Ml Paradigms in Agriculture. He has published over a hundred technical papers in refereed journals and conference proceedings. He has served in various capacities for journals and conferences. He was the organising Co-Chair for RAIT 2018, RAIT 2014, and an advisory committee member of various international and national conferences/workshops/symposiums. He has served on the programme committees of various conferences including Bangalore Development Authority (BDA), International Conference on Distributed Computing and Internet Technology (ICDCIT), Advanced Computing Network and Security (ADCONS), Recent Advances in Information Technology (RAIT), and International Council for Open and Distance Education (ICDE). He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a professional member of Association for Computing Machinery (ACM).
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Dr. Sachin Tripathi holds a B.Tech degree in Computer Science Engineering (CSE) from Kanpur University, India. He completed his M.Tech and PhD in Computer Science and Engineering from the esteemed Indian Institute of Technology (ISM), Dhanbad, India. Currently, he serves as an Associate Professor and also holds the position of Head of the Department of CSE Department at the Indian Institute of Technology (ISM), Dhanbad, India. With over eighteen years of experience in teaching Computer Science subjects, he specialises in Artificial Intelligence. Throughout his career, he has made significant contributions to the field of research and has authored more than 100 research papers, which have been published in prestigious journals like IEEE Transactions on Industrial Informatics, IEEE Transactions on Wireless Communications, IEEE Transactions on Instrumentation and Measurement, and Applied Soft Computing, among others. Additionally, he has authored a book titled "Enhancements on Internet Applications: Multicast, Secure E-Mail Messaging, and E-Business". He also holds the position of an Associate Editor at "International Journal of Communication Systems," published by Wiley. His research interests primarily revolve around Artificial Intelligence, Network Security, Ad-hoc and Sensor Networks.
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Dr. Tarachand Amgoth has completed his B.Tech degree in Computer Science and Engineering from the Jawaharlal Nehru Technological University (JNTU), Hyderabad in 2002, M.Tech degree in Computer Science Engineering from the National Institute of Technology (NIT), Rourkela in 2006, and PhD from the Indian Institute of Technology (Indian School of Mines), Dhanbad in 2015. Presently, he is an Associate Professor in the Department of Computer Science and Engineering, IIT (ISM), Dhanbad. His current research interests include Wireless Sensor Networks (WSNs), Cloud Computing, Fog/Edge Computing, Serverless Computing and Internet of Things (IoT). He has contributed more than 50 publications in reputed international journals and conferences. Currently, he is working on a project titled “Interoperability Issues in Fog-Cloud Infrastructure for IoT Applications", sponsored by the Department of Science and Technology (DST), Science and Engineering Research Board (SERB), Government of India. He has published several journals on IoT and Cloud Computing. He has 15 years of teaching experience and has taught courses on Internet of Things and Cloud Computing to B.Tech and M.Tech students.
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Dr. Ayan Das is an Assistant Professor in the Department of Computer Science and Engineering at IIT (ISM) Dhanbad. He has received his PhD from IIT Kharagpur. He has completed his M.Tech and B.Tech degrees in Computer Science and Engineering from IIT Kharagpur and NIT Durgapur, respectively. His research interests include Natural Language Processing, Machine Learning, and Information Retrieval. Before joining IIT (ISM), he has worked as a Systems Engineer at TCS for 3 years from 2008 to 2011, and as an Assistant Professor in the Department of Computer Science and Information Systems at BITS Pilani (Hyderabad campus) from December 2020 to 2021. Currently, he has 16 publications in reputed conferences and journals.
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Dr. Saurabh Srivastava has over 7 years of experience in industry and academia with roles spanning across development, planning and architecture of IT solutions. The responsibilities assigned to him include teaching assignments, administrative duties and hands-on product development. He has worked in organisations with varying profiles, including the prestigious space agency of India, ISRO. His area of expertise includes Software Architecture and Engineering as well as AI-intensive Systems. He is passionate about planning and building Software Systems to automate business processes. He holds a Doctorate and Master’s degree in Engineering from the Department of CSE, IIT Kanpur. During his master’s, he was the Top Ranker in his Department, for which he received the Academic Excellence Award from the Institute. He is currently serving as an Assistant Professor at the Department of Computer Science and Engineering at IIT (ISM) Dhanbad, with functional positions of Faculty-In-Charge, Automation of the Institute and Co-Faculty In-charge, Data and Software Technology Club under the Naresh Vashisht Centre for Tinkering and Innovation. He is also a member of the Executive Committee of TEXMiN Foundation, a Technology Innovation Hub set up by the Department of Science and Technology, Government of India.
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Dr. Mauajama Firdaus currently works as an Assistant Professor in the Department of Computer Science and Engineering at IIT(ISM) Dhanbad. Previously, she was a Postdoctoral Researcher in the Department of Computing Science at the University of Alberta, Canada. She has earned her PhD from the Indian Institute of Technology Patna, India, in 2021. Her primary research focus lies within the domains of Natural Language Processing and Dialogue Generation. Over the past seven years, she has dedicated her research efforts to Natural Language Processing (NLP), Information Extraction, and Machine Learning (ML), yielding substantial contributions in these fields. Dr. Firdaus has authored numerous papers presented at esteemed conferences such as AAAI, IJCAI, ACL, EMNLP, COLING, NAACL, and published in distinguished journals including Expert Systems with Applications, Knowledge-based Systems, ACM Transactions, IEEE Transactions on Affective Computing, among others. Notably, she has delivered tutorials at IJCAI, ECIR, COLING, premier conferences, specifically on the topic of empathetic dialogue systems.
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Dr. Haider Banka joined the Department of Computer Science and Engineering, IIT(ISM) Dhanbad as an Associate Professor in the year 2007 and is currently working as an Associate Professor in the same Department since 2013. He has worked as a visiting Assistant Professor in the Center for Soft Computing Research, Indian Statistical Institute, Kolkata for three months. He has also worked as a visiting Research Associate in the Department of Computer and Information Science (DISI), University of Genoa, Italy, for three months in the year of 2006. He was a Senior Research Fellow at Machine Intelligence Unit, Indian Statistical Institute, Kolkata, for 2 years from April 2004 to March 2006. He has taught many subjects such as Soft Computing, Data Mining, Algorithms and Graph Theory, Operating Systems, Data Structures, C Programming and others. His current research interests includes Machine Learning, Soft Computing Applications, and Optimizations. Dr. Banka has published more than 100 peer reviewed journals and conferences and has awarded 12 PhD degrees under his supervision. In addition, Dr. Banka has published two authored books and two IEEE conference proceedings. Dr. H. Banka is a reviewer of many international journals and conferences including IEEE Transactions on Systems, Man, and Cybernetics, Expert Systems and Applications, Pattern Recognition, Information Sciences, International Journal of Pattern Recognition and Artificial Intelligence, Pattern Recognition Letters and others as well.
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Debashis Roy has completed ME in Software Engineering from Jadavpur University, Kolkata. He works as a Domain Consultant and Subject Matter Expert at Tata Consultancy Services. He has been working with Higher Education and Corporate Learning programmes for 18+ years, providing end-to-end learning solutions to domestic and international corporate customers.
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Dr. Himdweep Walia has been working in Higher Education domain for almost two decades now. Currently, she is working at Tata Consultancy Services as Subject Matter Expert and Domain Expert - Learning programmes, Higher Education, providing end-to-end ownership of learning products in the AI/ML domain. Currently, she conducts live sessions for various online certificate programmes conducted in association with different INI's like IIT Dhanbad, ISI Kolkata.
Read More...FAQs
Please take a look at the most frequently asked questions; you might have your query answered here.
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The course has been meticulously designed for both freshers/individuals pursuing Bachelor's/Master's degree and working professionals, with emphasis on hands-on experience and practical exposure to cutting-edge tools and technologies. The learners will get access to Live Lectures, hands-on implementation (based on the specialisation path chosen), assignments, quizzes, industry use cases and mentorship from renowned industry and IIT Dhanbad faculty members. Learners will also get an opportunity to showcase their skills to potential recruiters.
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In case a learner misses a Live Lecture, he/she will be provided access under Live Lecture learning component, to view the recorded version of the session within and for a specified time frame. Also, the learning content will be accessible until the end of the programme, with additional one month buffer period after completion.
- Device: A standard Desktop/Laptop/Tablet/Smartphone with camera and mic
- Internet: A regular broadband/Wi-Fi connection or a mobile 4G connection
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A learner can conveniently connect among the members at an appointed time for group work, outside the live classes. Learners can also use the platform 24x7 to engage and learn from their peers using our digital discussion rooms available under the course of the programme. Our platform also has the provision of group-specific discussion forums for offline discussion among the group members.
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The duration of this programme is 3 months, including hands-on and doubt clearing sessions. There will be 2 sessions per week and the duration of each session will be 90 minutes. The Live Lectures are planned every week in the evening on Wednesdays and Saturdays from 7:00 PM to 8:30 PM.
- Certificate of Participation (CoP): If a learner has scored less than 40% in the course evaluation criteria and live lecture attendance is less than 50%, then a CoP will be awarded.
- Certificate of Completion (CoC): If a learner has scored within the range of 40% to 70% in the course evaluation criteria and has atleast 50% live lecture attendance, then a CoC will be awarded.
- Certificate of Achievement (CoA): If a learner has scored greater than 70% in the course evaluation criteria and has atleast 50% live lecture attendance, then a CoA will be awarded.
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Please note that the course fees is not refundable under any circumstances. Also, the course fee is not transferable for any other course on the TCS iON platform or for any other purpose. We will be with you at every step for your upskilling and professional growth needs.
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Yes. Learners can use the India Toll Free helpline - 1800 266 6282 or email us at info.tcsionhub@tcs.com.
Live classes will be held on Wednesdays and Saturdays (7 PM – 8:30 PM). For more details, please Click Here