- Promoted by: Anonymous
- Platform: Udemy
- Category: Data Science
- Language: English
- Instructor: Nawas Naziru Adam
- Duration: 6 hour(s) 30 minute(s)
- Student(s): 948
- Rate 0 Of 5 From 0 Votes
- Expires on: 2025/09/11
-
Price:
49.990
LLMs, AI Chatbots, Word Embeddings Models, Tokenization, ChatGPT, NLP, Machine Learning, AI, Generative AI
Unlock your potential with a Free coupon code
for the "LLMs Foundations: Tokenization and Word Embeddings Models" course by Nawas Naziru Adam on Udemy.
This course, boasting a 0.0-star rating from 0 reviews
and with 948 enrolled students, provides comprehensive training in Data Science.
Spanning approximately
6 hour(s)
30 minute(s)
, this course is delivered in English
and we updated the information on September 07, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
Unlock the foundational secrets behind Large Language Models (LLMs) and AI chatbots in this hands-on, beginner-friendly course designed to demystify the core building blocks of modern NLP systems. Whether you're an aspiring developer, AI enthusiast, or seasoned professional seeking deeper insights, this course offers a clear, intuitive, and practical approach to understanding tokenization and word embeddings—two pillars of LLM architecture. You will gain a true understanding of how and why word embedding models and tokenization work the way they do.
Through over 6 hours of engaging video content, you’ll explore how tokenization transforms raw text into machine-readable units, and how word embeddings capture semantic meaning in multidimensional space. You’ll learn to build your own word embedding models using PyTorch, apply them to real-world tasks like question answering, and even develop a basic mini LLM from scratch.
We break down complex mathematical concepts into digestible lessons, ensuring you grasp not just the “how,” but the “why” behind each technique. By the end, you’ll have a solid foundation in the mechanics of LLMs and the confidence to apply these skills in practical AI projects.
No advanced prerequisites—just basic Python and neural network knowledge. If you're ready to move beyond the hype and truly understand how AI chatbots work under the hood, this course is your launchpad.