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FreeLLM Full Course For Data Engineers (From SCRATCH)
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This three-hour course explains how LLMs work for readers coming from data engineering rather than machine learning. It begins with NLP and language models and builds up to the transformer families behind GPT and BERT.
The description points to a notes and code repository, and to earlier videos on Python, PySpark and Databricks. Those fit a data engineer's learning path, so they are worth keeping open alongside this one.
How LLM works | LLM from scratch | Gen AI | Data Engineering
🔍What You'll Learn?
This is a complete beginner-friendly LLM course that explains all the core concepts - NLP, vector embeddings, Transformer architecture, GPT models, BERT models, and more in 3 hours.
Timestamps:
0:00 Introduction
11:05 Natural Language Processing
19:16 What is a Language Model
31:25 Types of Language Models
41:36 What is LLM in a Nutshell?
45:09 Types of LLMs
50:42 Tokenization & Token IDs
1:08:56 Embedding Vectors
1:16:35 Types of Embeddings
1:24:31 Embeddings Lab
1:43:48 Decoder-Only Transformer Guide
2:41:38 Encoder-Only Transformer
2:48:15 Encoder-Decoder Transformer
Data Engineer Roadmap [WITH RESOURCES]
https://github.com/anshlambagit/Data_Engineer_Roadmap
Notes & Code Repository
https://github.com/anshlambagit/Large_Language_Model_Guide_For_DataEngineers
WATCH MY PREVIOUS VIDEOS
➡️Python Full Course
https://youtu.be/ZvU7lupoXQE?si=Z7JPGak59MIw1jYP
➡️ Data Modeling Masterclass
https://youtu.be/K7C1sWKQU-o?si=ExuraMvfpXtuzkku
➡️PySpark Full Course
https://youtu.be/94w6hPk7nkM?si=i3u_8ZWkGf6fiGyh
➡️Databricks Tutorial
https://youtu.be/7pee6_Sq3VY?si=pPBrTnE2R8PhhHu5
➡️Apache Spark The Ultimate Guide
https://youtu.be/FNJze2Ea780?si=MHszd1EpzUtFzZR9
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Join this channel to SUPPORT MY HARDWORK:
https://www.youtube.com/channel/UCu7lQE-L5gzt8aD7zuuufjw/join
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Connect with ME
LinkedIn - https://www.linkedin.com/in/ansh-lamba-793681184/
Telegram - https://t.me/anshlambadatafam
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For COLLABORATION 👇
anshlambacollab@gmail.com
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⭐Hashtags⭐
#genai #llm #dataengineering #pyspark #agenticai
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