Machine Learning for Text and Image Data Training in Gurgaon, Delhi

Machine Learning for Text and Image Data

Empower yourself with the sufficient knowledge and experience to perform analysis for Text and Image data using Machine Learning

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

Overview
Curriculum
Pre-requisite
Review

Dive into the dynamic world of unstructured data with our advanced course Machine Learning for Text and Image Data. This program is designed for data scientists, AI engineers, and researchers who want to master the techniques behind NLP and computer vision-two of the most transformative fields in modern machine learning. Through hands-on projects and real-world datasets, learners will explore how to preprocess, model, and extract insights from text and image data using powerful tools like scikit-learn, TensorFlow, Keras, and OpenCV. From sentiment analysis and topic modeling to image classification and object detection, this course bridges theory and application, empowering participants to build intelligent systems that understand language and interpret visuals. Whether you're developing chatbots, recommendation engines, or visual recognition tools, this course provides the skills to turn raw data into smart solutions.

Data is the fuel of 21st century. The advanced technological development has brought a massive increase in the volume and spectrum of data by including text and images. This training aims to empower students to understand the applications of Machine Learning in different domains with proper code and explanation. The training assumes that students are well versed with Python and its core libraries. We start with a refresh sessions of Python and gradually increase its level towards Machine Learning. Significant focus has been laid on Deep Learning and applications neural network models like MLP, RNN, CNN; trained models for text and image data and development of chatbots.

Target Audience:-
-Data scientists and machine learning engineers working with unstructured data
-Graduate students and researchers in AI, linguistics, computer vision, and data science
-Professionals in healthcare, finance, retail, and media looking to apply ML to text and images
-Developers building intelligent applications like chatbots, recommendation systems, and image recognition tools
-Analysts and domain experts who want to extract deeper insights from documents, social media, and visual content

Learning Outcomes:-
-Understand the unique challenges and opportunities in working with text and image data
-Preprocess textual data using tokenization, stemming, lemmatization, and vectorization techniques
-Apply NLP models for classification, sentiment analysis, and topic modeling
-Preprocess image data using resizing, normalization, and augmentation
-Use transfer learning and pre-trained models for improved accuracy and efficiency
-Integrate NLP and computer vision models into real-world applications

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 are familiar with Python Programming concepts, SQL and High School : Statistics, Probability & Linear Algebra

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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: Foundations of Machine Learning for Unstructured Data
✔ Overview of machine learning for text and image data
✔ Differences between structured and unstructured data
✔ Key challenges in NLP and computer vision
✔ Unsupervised Machine Learning Algorithms
✔ Neural Network Models
✔ Transfer learning

Module 2: Text Data Preprocessing and Representation
✔ Tokenization, stemming, lemmatization
✔ Stopword removal and text normalization
✔ Bag-of-Words, TF-IDF, and word embeddings
✔ Text vectorization with scikit-learn and spaCy

Module 3: NLP Modeling and Applications
✔ Text classification: spam detection, sentiment analysis
✔ Topic modeling with LDA
✔ Named Entity Recognition (NER) and POS tagging

Module 4: Image Data Preprocessing and Augmentation
✔ Image formats, channels, and pixel structures
✔ Resizing, normalization, and grayscale conversion
✔ Data augmentation: rotation, flipping, cropping
✔ Using OpenCV and Keras preprocessing tools

Module 5: Image Classification with CNNs
✔ Convolutional Neural Networks (CNNs)
✔ Building CNNs with TensorFlow/Keras
✔ Transfer learning with pre-trained models
✔ Evaluating image classification performance

Module 6: Advanced Techniques in NLP and Vision
✔ Attention mechanisms and Transformer models
✔ Object detection and segmentation
✔ Multimodal learning: combining text and image inputs
✔ Introduction to generative models

Module 7: Model Evaluation and Deployment
✔ Evaluation metrics
✔ Saving and loading models for reuse
✔ Building APIs with Flask or FastAPI
✔ Creating dashboards and reports with Streamlit or Gradio

Module 8: Capstone Project
✔ Project Scope
✔ Choose a real-world dataset (text, image, or both)
✔ Define a problem and apply full ML pipeline
✔ Document preprocessing, modeling, evaluation, and deployment
✔ Present findings with visuals and narrative

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.