Natural Language Processing

7-Week Intensive Curriculum on Natural Language Processing

7-Week Intensive Curriculum on Natural Language Processing (NLP)

Description

Are you ready to master the mathematical concepts essential for AI and Machine Learning? This 6-week hands-on workshop is designed to help UG & PG students build a strong mathematical foundation while applying concepts practically using Python. Unlike traditional theory-based courses, this program emphasizes real-world implementation, ensuring you gain the skills necessary for AI and ML applications.

Through live interactive sessions, you’ll explore Linear Algebra, Calculus, Probability, and Optimization—the core pillars of AI/ML. You’ll also work with NumPy, Matplotlib, and data handling techniques, making you proficient in Python for ML. Each week includes quizzes and coding exercises, keeping your progress on track.

The course culminates in a hands-on project, where you’ll apply everything you’ve learned to build an ML model. With mentorship, live Q&A, and a certificate of completion, this workshop is your gateway to excelling in AI & ML. Start your journey today!

Seshan S

With extensive experience in AI, Machine Learning, and Deep Learning, I have worked as a Summer Research Intern at IISc Bangalore and NIT Trichy, gaining hands-on expertise in cutting-edge AI applications. As an AI Developer at Rex Industries, I have applied ML and DL techniques to solve real-world challenges. My skills include Python, C/C++, SQL, TensorFlow, PyTorch, OpenCV, and Scikit-Learn, along with expertise in Git, Jupyter, and Google Colab. I have worked on impactful projects like early detection of neurodegenerative disorders and AI-powered assistive devices, with research published in IEEE and Springer Journals. Excited to mentor and guide AI enthusiasts!

Key Objective

Build Expertise in NLP: Gain a deep understanding of core NLP concepts, models, and tools.
Hands-On Experience: Implement real-world NLP tasks such as text classification, sentiment analysis, and sequence labelling.
Work with Advanced Models: Get practical experience with state-of-the-art NLP models, including transformers and RNNs.
Develop Real-World Applications: Learn to integrate NLP techniques into practical applications across industries like healthcare, finance, and social media.
Research Focus: Understand how to approach NLP research and contribute to cutting-edge academic studies.

Key Outcomes:

Comprehensive Skill Set: Be proficient in preprocessing, modelling, and advanced NLP techniques.
Industry-Ready: Be equipped to build and deploy NLP-based solutions in real-world applications.
Hands-On Projects: Develop a portfolio of projects showcasing your ability to implement NLP techniques.
Research Capabilities: Gain the skills necessary for conducting independent NLP research and publishing findings.
Advanced NLP Knowledge: Have a strong foundation in both theoretical and applied NLP to pursue careers in AI, research, and development.

Saturday 3 hour

Sunday 3 hour

FAQ

This workshop is open to everyone interested in building a strong mathematical foundation for AI and ML. While it is specially designed for UG and PG students (1st-4th year), professionals and AI/ML enthusiasts can also join. Whether you're a beginner or have some prior knowledge, this course will help you grasp essential concepts with hands-on Python implementation.

No prior experience in AI/ML is required! However, basic programming knowledge (preferably in Python) will be helpful. The workshop starts with fundamental concepts and gradually moves to advanced topics, ensuring that all students can follow along effectively.