Professional Certification in Building LLMs

Online Live | 4 Months | Professional Certification Program
129,800.00 (Inc. GST)

Category:

Master cutting-edge Natural Language Processing (NLP) and Large Language Models (LLMs) through hands-on projects and real-world tools. Learn everything from classical NLP to LLM fine-tuning and AI agent deployment using PyTorch, Hugging Face, LangChain, and AutoGPT—with certification from E&ICT Academy, IIT Kanpur.

What You’ll Learn

  • Build a solid foundation in classical NLP concepts, including tokenization, embeddings, and probabilistic models
  • Implement deep learning-based NLP models such as RNNs, LSTMs, and Transformer architectures
  • Understand GPT architectures and gain hands-on experience in fine-tuning LLMs using Hugging Face and PyTorch
  • Develop end-to-end AI agents using LangChain, AutoGPT, and retrieval-augmented generation (RAG) pipelines
  • Work on industry-relevant projects like feedback classifiers, custom GPT models, and RAG-based assistants

Skills you’ll gain

  • Text Preprocessing
  • Supervised & Unsupervised NLP Methods
  • Topic Modeling
  • Word Embeddings
  • Probabilistic Language Modeling
  • RNNs and LSTMs
  • Transformer Architecture
  • GPT Training
  • LLM Fine-Tuning
  • Agent & Pipeline Development using LangChain and AutoGPT
  • Retrieval-Augmented Generation (RAG)
  • LLMOps Fundamentals

Tools Covered

  • Python
  • NLTK
  • TextBlob
  • spaCy
  • PyTorch
  • Hugging Face Transformers
  • LangChain
  • AutoGPT

Features

  • Learn from Global Experts
    Get taught by experienced professors like Dr. Raghava Rao M from Copenhagen Business School, known for his work in AI and NLP.
  • Hands-On Learning with Real Projects
    Work on practical projects like building chatbots and fine-tuning GPT models to gain real-world experience.
  • Certification from IIT Kanpur
    Receive a respected certificate from E&ICT Academy, IIT Kanpur, adding strong value to your resume and career growth.

Target Audience

  • Professionals and researchers in NLP and AI
  • Data scientists and ML engineers seeking LLM proficiency
  • Educators and tech-savvy faculty aiming to integrate NLP in research
  • Entrepreneurs (interested in building real-world applications using NLP, LLMs, and GenAI tools.)

Curriculum

Module 1: NLP Fundamentals

Understand the basics of Natural Language Processing including tokenization, POS tagging, word embeddings, and text normalization. Get hands-on with core NLP libraries like NLTK and TextBlob to perform essential text preprocessing.

Module 2: Supervised NLP Techniques

Learn to build classification models using Naïve Bayes and Logistic Regression for tasks like sentiment and emotion detection. Implement text classification projects using Python and real-world datasets.

Module 3: Unsupervised NLP Techniques

Explore topic modeling with LDA and BERTopic, and understand semantic similarity through word vectors. Apply these techniques through guided exercises on real-world unstructured data.

Module 4: Language Modeling & Chatbot Systems

Study probabilistic models like n-grams and their role in language generation and spell correction. Build and understand the logic behind chatbot and dialog systems through hands-on coding.

Module 5: Generative AI & LLM Foundations

Learn deep learning techniques using RNNs, LSTMs, and attention mechanisms to process sequence data. Get introduced to GPT architectures, encoder-decoder models, and key LLM concepts.

Module 6: Building LLMs from Scratch

Use PyTorch to explore tensors, attention mechanisms, and transformer architectures. Code your own GPT-style model and train it on unlabeled data to understand model internals.

Module 7: LLM Fine-Tuning & Agent Development

Fine-tune large and small LLMs using LoRA and integrate them into real-world applications. Build AI agents using LangChain, AutoGPT, and implement retrieval-augmented generation (RAG) workflows.

Module 8: Capstone Project

Apply everything you’ve learned in a guided capstone project focusing on LLM-powered tools and AI applications. Get mentorship and feedback as you build, test, and present your end-to-end solution.

Instructor Profile

  • Instructor Name: Dr. Raghava Rao M
  • Designation: Professor Raghava Mukkamala is a faculty member at Copenhagen Business School and heads the Master’s in Data Science program.

  • Short Bio:  His work spans data science and cybersecurity, with a focus on real-world issues such as misinformation, hate speech, and digital security. He collaborates with organizations like the UNHCR to improve systems that identify and reduce bias against refugees.

Enquiry

FAQs

  • Who is this course ideal for?
    Professionals, researchers, and developers aiming to build real-world NLP and LLM applications.
  • Is the course online or offline?
    The course is fully online with live weekend sessions and recorded access via LMS.
  • Will I receive a certificate after completing the course?
    Yes, upon successful completion, you’ll get a certificate from E&ICT Academy, IIT Kanpur.
  • What is the class format?
    Live, instructor-led weekend sessions with interactive discussions and hands-on coding.
  • Do I need prior experience in AI or NLP?
    Basic Python knowledge is expected; admission is based on a short screening test.
  • Will there be hands-on coding?
    Yes, you’ll build LLMs from scratch, fine-tune models, and deploy agents using real tools.
  • What kind of projects will I work on?
    You’ll work on use cases like feedback classifiers, RAG assistants, and agent-based applications.
  • What makes this course different from others?
    It’s tool-first, project-driven, and covers the full LLM lifecycle—from foundational NLP to advanced deployment.
  • What support will I receive during the course?
    You’ll get mentor support, weekend office hours, discussion forums, and post-course community access.
  • What career roles does this course prepare me for?
    Roles such as LLM Engineer, NLP Specialist, AI/ML Developer, Chatbot Developer, and GenAI Product Lead.