Computer Vision and Image Recognition: Concepts and Algos
The Computer Vision and Image Recognition: Concepts and Algorithms course by TimesPro is a self-paced programme that equips learners with the knowledge and practical skills needed to work with image data using deep learning and computer vision techniques. The course covers TensorFlow programming, neural network implementation, image classification, object detection, and face recognition, making it highly relevant for professionals looking to apply AI in real-world business contexts. Learners will work with industry-standard tools including Python, TensorFlow, and OpenCV, gaining hands-on experience in implementing computer vision algorithms. The curriculum progresses from TensorFlow fundamentals through neural network foundations to advanced computer vision and image recognition techniques. This course is suitable for learners with a foundational understanding of programming who wish to develop expertise in one of the most rapidly growing areas of artificial intelligence. Upon completion, participants receive a certificate validating their proficiency in computer vision and image recognition concepts.
Instructors:
TimesPro
English
Course Start Date:
Self-paced
Duration:
34 Hours
₹ 5,990
Overview
The Computer Vision and Image Recognition: Concepts and Algorithms course by TimesPro is a self-paced programme designed to build practical expertise in applying deep learning and computer vision techniques to real-world image data problems. The course provides a structured pathway from TensorFlow programming fundamentals through to advanced image recognition applications including object detection and face recognition. Industry-standard tools and frameworks — TensorFlow, Python, and OpenCV — are used throughout, ensuring learners gain skills that are directly applicable in professional AI and data science roles. The programme is structured to progressively build competence, starting with TensorFlow installation and core concepts, advancing through neural network foundations, and culminating in applied computer vision and image recognition work.
Why Technology & Analytics?
Computer vision is one of the fastest-growing domains in artificial intelligence, with applications spanning healthcare, automotive, retail, security, and manufacturing. This course provides learners with a comprehensive, hands-on grounding in the tools and techniques that power these applications. The use of TensorFlow 2.0 ensures learners are working with the current industry-standard framework, while the inclusion of both object detection and face recognition topics makes the skill set acquired immediately applicable in the job market. TimesPro's self-paced format allows learners to study at their own convenience while following a well-structured curriculum. Certification upon completion adds tangible professional credibility.
What does this course have to offer?
Key Highlights
Self-paced learning with flexible schedule Covers TensorFlow, Python, and OpenCV Includes image classification, object detection, and face recognition Hands-on quizzes and assignments throughout Certification upon successful completion Affordable one-time fee of Rs 5,990 Covers TensorFlow 2.0 and neural network foundations Applicable across AI, data science, and machine learning careers
Interested in career outcomes and specializations?
Who is this programme for?
Programming learners seeking to specialise in computer vision and AI Data scientists looking to add image recognition skills Software engineers transitioning into AI and machine learning roles Students pursuing careers in artificial intelligence or deep learning Professionals in industries adopting computer vision solutions
Minimum Eligibility
Basic programming knowledge recommended Familiarity with Python preferred No prior computer vision experience required Access to a computer and stable internet connection required Basic understanding of mathematics and statistics is beneficial
Not sure whether you qualify for this programme?
Who is the programme for?
The Foundation of Computer Vision and Image Recognition course follows an open enrolment model. There are no competitive selection criteria or mandatory prerequisites, though a basic familiarity with programming and Python is recommended for the best learning experience. Learners register on the TimesPro portal, complete payment of the one-time fee, and gain immediate access to all course content. The academic structure spans three modules: Programming with TF (TensorFlow), Foundations of Neural Networks, and Computer Vision and Image Recognition — progressing systematically from foundational TensorFlow concepts to applied computer vision techniques. Assessments in the form of quizzes and assignments are embedded throughout to reinforce learning at each stage.
Selection process
How to apply?
Curriculum
The curriculum is structured across three modules that build progressively from TensorFlow programming fundamentals to advanced computer vision applications. The first module, Programming with TF, covers TensorFlow installation, core concepts including tensors, variables, constants, and placeholders, the TensorFlow Graph concept, basic functions, Tensorboard, and a comprehensive coverage of TensorFlow 2.0 including distributed execution, optimisers, and matrix multiplication. The second module, Foundations of Neural Networks, provides the theoretical and practical grounding in neural network architecture necessary for the computer vision work that follows. The third module, Computer Vision and Image Recognition, applies these foundations to real-world image analysis tasks including image classification, object detection, and face recognition using OpenCV and related libraries.
There are 3 semesters in this course
The first module, Programming with TF, is a comprehensive introduction to TensorFlow covering everything from installation and basic syntax to TensorFlow 2.0 features. Topics include tensors, variables and constants, placeholders, the TensorFlow Graph concept, basic functions using both standard syntax and placeholders, Tensorboard visualisation, and the Hello World 2.0 programme. TensorFlow 2.0-specific content covers distributed execution, constants and variables, optimisers, the upgrade tool, and matrix multiplication, concluding with a practical TF1 equation-solving exercise and a Tensorflow Quiz to consolidate learning. The second module, Foundations of Neural Networks, provides the theoretical grounding in neural network architecture, activation functions, and training methodologies that underpin the computer vision work in the final module. The third module, Computer Vision and Image Recognition, brings together all prior learning to cover the core algorithms and techniques used in practical computer vision applications — including image processing, feature extraction, image classification, object detection, and face recognition — using Python, TensorFlow, and OpenCV.
Programming with TF
Foundations of NN
Computer Vision and Image Recognition
Programme Length
The programme is self-paced, allowing learners to complete all three modules at their own convenience. There is no fixed timeline, and learners can progress through the curriculum at a speed that suits their schedule.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructor
TimesPro
TimesPro - an award-winning EdTech initiative of the Times Group.
TimesPro - an award-winning EdTech initiative of the Times Group. We believe in empowering learners like you to pave their own path to success. No matter what stage of career you are at, you can choose from our wide range of learning and career development solutions. Our education, training, counselling, and progressive programmes enable you to constantly evolve. Our mission is to help India transform into a knowledge economy by helping YOU - the future of the nation - to upskill, grow, and accelerate your career with the art of learning; because we believe that only when one learns, can one fulfil all their aspirations, whether personal or professional.
Tuition Fee
The Computer Vision and Image Recognition course is priced at Rs 5,990 as a one-time fee. This covers full access to all three modules, course materials, quizzes, assignments, and the certificate of completion. No additional charges have been indicated for this programme.
Fee Structure
Payment options
Need help understanding fees, EMI options, or scholarships?
Learning Experience
The learning experience is entirely self-paced and delivered through the TimesPro online portal. Learners gain immediate access to all course content after completing enrolment and can begin studying at any time. The three-module curriculum is structured to build knowledge progressively — from TensorFlow basics through neural networks to applied computer vision — ensuring a coherent and logical learning journey. Practical learning is reinforced through quizzes and assignments integrated throughout each module, with a dedicated Tensorflow Quiz at the end of the first module to benchmark understanding. The self-paced structure gives learners the flexibility to revisit content, manage their study schedule, and complete the programme at their own pace.
University Experience
TimesPro is a leading professional education platform backed by Bennett, Coleman and Co. Ltd., the parent organisation of The Times of India. With academic partnerships spanning premier institutions including the IIMs, IITs, IISc, and XLRI, TimesPro delivers credible and career-relevant programmes across technology, management, and other domains. The platform's digital infrastructure provides learners with seamless access to a well-organised portal featuring all course content, assessments, and certification tools, supported by a team committed to delivering quality education to early career and professional learners across India.
Loading alumni...
About the University
TimesPro, established in 2013, is a Higher EdTech platform by The Times Group focused on professional education in India. The institution offers diverse learning programs across early career courses, executive education, and enterprise solutions. Their programs span banking, finance, technology, analytics, and marketing sectors through partnerships with premier institutions like IIMs, IITs, and global universities
100,000+
alumni community
@210
course offerings
10*
streams
Affiliation & Recognition
XLRI
NSDC
Fitch learning
lincoln university
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructor
TimesPro
TimesPro - an award-winning EdTech initiative of the Times Group.
TimesPro - an award-winning EdTech initiative of the Times Group. We believe in empowering learners like you to pave their own path to success. No matter what stage of career you are at, you can choose from our wide range of learning and career development solutions. Our education, training, counselling, and progressive programmes enable you to constantly evolve. Our mission is to help India transform into a knowledge economy by helping YOU - the future of the nation - to upskill, grow, and accelerate your career with the art of learning; because we believe that only when one learns, can one fulfil all their aspirations, whether personal or professional.
Career services
TimesPro provides extensive career support through dedicated placement assistance and industry connections. The institution focuses on developing industry-ready professionals through practical training, skill development, and career guidance. Their placement cell offers comprehensive support including interview preparation, profile enhancement, and direct connections with leading employers. The career services team works closely with over 3,500 corporate partners to ensure strong placement outcomes and career growth opportunities for students. Students receive personalized mentoring, soft skills training, and industry-specific preparation to enhance their employability.
10LPA
highest package
3500+
hiring partners
90%+
placement rate
Top Recruiters
Course Start Date:
Self-paced
Duration:
34 Hours
₹ 5,990
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.