Image Classification Training in Gurgaon, Delhi

Image Classification

Is it really that difficult for a computer to distinguish cats from dogs ? Want to learn more ?

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

This course introduces the core concepts and practical skills required to build image classification systems using machine learning and deep learning. Learners will explore how to process and analyze visual data, extract meaningful features, and train models to accurately classify images into categories such as animals, objects, scenes, or medical conditions. Students will gain both a theoretical understanding of the underlying mathematics and hands-on experience in building, training, and evaluating state-of-the-art image classification models.

This is one application of AI using Deep learning (DL) and CNN to classify images. What is natural and implicit for humans, is not so natural for a computer machine! Learn how to teach a computer to distinguish a cat image from a dog image !

So, are you ready for the challenge ?

Target Audience:-
- Data Analysts and Data Scientists
- AI / ML / DS - Engineers
- Computer Science students
- IT Professionals looking to transition into Anamoly Detection
- Research Scholars and AI Enthusiasts
- Professionals interested in computer vision and deep learning

Learning Outcomes:-
- Grasp the core concepts of traditional and deep learning approaches to computer vision and image classification
- Master Convolutional Neural Networks (CNNs)
- Implement Classification Models
- Apply Practical Techniques: transfer learning, data augmentation, hyperparameter tuning
- Evaluate Model Performance
- Address Real-World Challenges in Image Classification

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

- You need to have intermediate to advanced Python experience. You are familiar with object-oriented Programming. You can write nested for loops and can read and understand code written by others.

-Intermediate Statistics background. You are familiar with Probability.

-Intermediate knowledge of machine learning techniques. You can describe backpropagation, and have seen a few examples of Neural Network architecture (preferrably a recurrent Neural Network or a long short-term memory network).

-You have seen or worked with a Deep Learning framework like TensorFlow, Keras, or PyTorch before.

....

NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Introduction to Image Classification
✔ What is image classification
✔ Applications in healthcare, security, retail, and autonomous systems
✔ Overview of traditional vs deep learning approaches

Module 2: Image Fundamentals and Preprocessing
✔ Pixels, color channels, and image formats
✔ Image resizing, normalization, and augmentation
✔ Libraries: OpenCV, PIL, NumPy

Module 3: Classical Machine Learning Techniques
✔ Feature extraction: SIFT, HOG, SURF
✔ Classifiers: k-NN, SVM, Decision Trees
✔ Limitations of traditional methods

Module 4: Deep Learning Foundations
✔ Neural networks and backpropagation
✔ Activation functions, loss functions, and optimizers
✔ Overfitting and regularization

Module 5: Convolutional Neural Networks (CNNs)
✔ Architecture of CNNs: convolution, pooling, fully connected layers
✔ Popular models: LeNet, AlexNet, VGG, ResNet
✔ Training CNNs from scratch

Module 6: Transfer Learning and Fine-Tuning
✔ Using pre-trained models (VGG16, ResNet50, MobileNet)
✔ Feature extraction vs full fine-tuning
✔ Customizing models for new datasets

Module 7: Evaluation and Metrics
✔ Accuracy, precision, recall, F1-score
✔ Confusion matrix and ROC curves
✔ Cross-validation and hyperparameter tuning

Module 8: Deployment and Real-World Projects
✔ Exporting models (ONNX, TensorFlow Lite)
✔ Building web or mobile apps with image classifiers
✔ Case studies: medical imaging, wildlife detection, product categorization

Module 9: Capstone Project
✔ Build and train CNNs for various datasets
✔ Apply transfer learning for efficient model development

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.