Tutorials > LLM Engineering From Using LLM to Building LLM

LLM Engineering From Using LLM to Building LLM


Date: 3 April 2026 | Posted by: voska89
LLM Engineering From Using LLM to Building LLM
Free Download LLM Engineering From Using LLM to Building LLM
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 30m | Size: 13.56 GB
DeepSeek | OpenAI | Python | HuggingFace| PyTorch | LangChain | Open Source Models | API Models


What you'll learn


Fundamentals of NLP and building optimization algorithms for the ARABIC LANGUAGE.
LLM models (Transformer Model)
Large Language Models (LLM)
Text Classification.
Image to Text
DeepSeek and ChatGPT

Requirements


High School Math
Basic Python knowledge

Description


Description


This is a complete course that will prepare you to use Large Language Model. We will cover the fundamentals of Large Language Model with the main purpose of applying LLMs in real world applications, this course is structured on a 6 levels in which we will start learning LLM starting from the basic concepts of LLM and them grow little by little from closed paid models to build our chatbot and then add your own data to the model to generate a more suitable replies, after that we grow to apply open source models in your work, after that we get to the level to fine tune an already existing model to apply to our application, after that we got to the point to train the model from scratch using PyTorch.
What Skills will you Learn
In this course, you will learn the following skills
• Understand the Math behind NLP Language Algorithms.
• Understand the Math behind LLMs Language Algorithms.
• Write and build Machine Learning/ LLM Algorithms.
• Apply LLMs using paid Closed models (ChatGPT and DeepSeek).
• Apply LLMs using Open source models.
• Fine Tune Already existing Models.
• Train LLMs from Scratch using PyTorch.
• Use opensource libraries related to LLMs, such as OpenAI, Hugging Face, and LangChain.
We will cover
• Introduction Fundamentals of NLP (Natural Language Processing) and LLM (Large Language Model).
• Level 1 : Prompt Engineering using Closed Source Models
• Level 2 : RAG (Retrieval-Augmented Generation) Model using closed Source Models
• Level 3 : Prompt Engineering using OPEN Source Models
• Level 4 : RAG (Retrieval-Augmented Generation) Model using OPEN Source Models
• Level 5 : Model Fine Tuning
• Level 6 : Build and Train Your LLM from Scratch
If you do not have prior experience in Machine Learning OR Natural Language Processing (NLP) OR Large Language Model (LLM ), that's NO PROBLEM!. This course is complete and concise, covering the fundamentals of NLP and LLM Engineering.

Who this course is for


Anyone who wants to use NLP for the Arabic Language
Anyone who wants to use LLM (Large Language Models) for the Arabic Language

DOWNLOAD LINK


KatFile
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