• 1.2 Hours

  • 4.5/5

  • Beginner

Getting Started With LLMs

This course will help you gain a comprehensive understanding of Large Language Models (LLMs) and develop advanced natural language processing (NLP) applications using the PyTorch framework. With a carefully curated list of resources and exercises, this course is your guide to becoming an expert in LLMs. Master the techniques to build and fine-tune LLMs, and generate human-like text.

Who Should Enroll: Professionals: Individuals looking to expand their skill set and leverage LLMs across different industries. Aspiring Students: For those setting out on their journey to master language data analysis and leave a mark in the tech world.

Course curriculum

  • 1
    Introduction
    • Course Objective
    • Course Handouts
    • The Exponential Growth
  • 2
    The Evolution of NLP
    • The Evolution of NLP: Symbolic NLP
    • The Evolution of NLP: Statistical NLP
    • The Evolution of NLP: Deep Learning
    • The Evolution of NLP: Deep Learning Era II
    • The Evolution of NLP: Tranformers and Evolution
    • Quiz
  • 3
    What are Large Language Models?
    • Introduction to Large Language Model
    • What is a Large Language Model?
    • Understanding Foundational Models
    • Different types of LLMs: Based on Response
    • Different types of LLMs: Based on Model Architecture
    • Quiz
  • 4
    The Current State of the Art in LLMs
    • The Current State of the Art in LLMs
  • 5
    Generative AI - Glossary
    • Generative AI- Glossary
  • 6
    Your Feedback Matters!
    • Your Feedback Matters!

Certificate of Completion

Unlock a lifetime-valid certificate from Analytics Vidhya upon completing the course—your achievement is forever recognized!
Certificate of Completion

Instructor

Kunal Jain, Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.
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Instructor

Key Takeaways from the course

  • Learn Large Language Model techniques and build real-world NLP applications.

  • Hands-On Experience: Engage with exercises designed to reinforce your learning and apply concepts in real-world scenarios.