Automatic Ticket Classification Project Bootcamp: AI/ML Intermediate Project
Learn to automate customer ticket classification using NLP and ML. This project covers text preprocessing, TF-IDF, word embeddings, and training models like Naïve Bayes, Logistic Regression, and BERT. Improve accuracy and efficiency in real-world support systems under the guidance of mentor Nishesh Gogia (IIT Madras).
₹799.00 ₹899.00 11% OFF
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Course Overview
Develop an automated ticket classification system using NLP and ML to streamline customer support operations. This project addresses the challenge of manually categorizing thousands of customer complaints daily. Students will learn to preprocess unstructured text data, apply feature engineering techniques (TF-IDF, word embeddings), and train various machine learning models, including Naïve Bayes, Logistic Regression, and advanced deep learning models like BERT. The project emphasizes practical application, covering model evaluation and potential deployment strategies, aiming to improve efficiency, reduce errors, and enhance customer satisfaction in real-world scenarios.
Category: AI/ML Intermediate Project
Total Hours: 3+
Mentor: Nishesh Gogia, IIT Madras
Mentor Profile: linkedin.com/in/nishesh-gogia-20a92913a
Why Choose This Automatic Ticket Classification Bootcamp
Key Highlight
Learn from Top Mentors
Program guided by experts from IITs and leading AI/ML companies. Get access to 100+ hours of immersive live learning sessions.
Solve Real-World Projects
Work on industry-relevant projects with use cases from companies like Uber, Zomato, and V5 Global, and build an impressive portfolio.
Recognized Certifications
Earn certifications from top industry names including Microsoft, PwC Academy, NSDC, and a recognized Industry Partner.
Proven Career Success
Step into roles like Data Scientist, ML Engineer, and Data Analyst — alumni placed at Capgemini, Accenture, and Paytm.
Course Curriculum:Real-World Application
1 Subject
Automatic Ticket Classification Project Bootcamp: AI/ML Intermediate Project
7 Learning Materials
Automatic Ticket classification+Modules
Automatics Ticket Classification module 1
Automatics Ticket Classification module 2
Automatics Ticket Classification module 3
Automatics Ticket Classification module 4
Automatics Ticket Classification module 5
Automatics Ticket Classification module 6
Automatics Ticket Classification module 7
Instructor
Learn From the Best:Your Bootcamp Faculty
Nishesh Gogia
Data Scientist @Turing || Data Science @IIT Madras || Data Science Trainer || LLM || Generative AI||
I'm a data scientist at Turing, where I’m actively contributing to the evolution of AGI by enhancing the intelligence and autonomy of Large Language Models. My work centers on making LLMs smarter, more aligned, and deeply agentic — capable of planning, reasoning, and acting across dynamic environments.
AUTOMATIC TICKET CLASSIFICATION BOOTCAMP PREREQUISITE
Prerequisites and Eligibility
Educational Background
Open to graduates or students currently pursuing their degree in any field—especially those interested in AI, ML, or data-driven applications.
Technical Knowledge
A basic understanding of Python programming, machine learning concepts, and data preprocessing is recommended to make the most of this project.
Mindset & Skills
Logical thinking, problem-solving skills, and curiosity to explore real-world applications of Natural Language Processing (NLP) are key. Prior experience with libraries like scikit-learn, pandas, or TensorFlow will be helpful but not mandatory.
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