Udemy – LLM Mastery: Hands-on Code, Align and Master LLMs 2024-10

Apr 18, 2025 - 09:27

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LLM Mastery Course: Hands-on Code, Align and Master LLMs. This course is not only a training course, but also a ticket to enter the club of artificial intelligence creators. By the end of this course, you will be able to code an LLM, code an alignment process, gain a comprehensive understanding of key concepts such as attention mechanisms, cross-entropy loss function, how neural networks learn, and many more. Learn about deep learning and neural networks through the use of origami, and gain practical skills that will make you an AI expert in any crowd.

What you will learn

Coding and teaching an LLM from scratch, line by line, understanding each concept in detail
Deep understanding and analysis of the advanced architecture of an LLM based on the Llama system
Coding and training an alignment process from scratch to align an LLM with a preferred form of interaction
A very comprehensive understanding of key concepts such as attention mechanisms, the cross-entropy loss function, how neural networks learn, and much more.
Exploring deep learning and neural networks using origami
In addition to coding, each section includes thorough explanations of key concepts related to these architectures and generative AI

This course is suitable for people who

AI Enthusiasts and Developers: People with an interest in AI and basic knowledge of Python who want to enter the world of LLM and generative AI.
Tech Innovators and Creators: Aspiring AI developers who want to be at the cutting edge of technology and learn to build and understand complex AI systems from scratch.
AI Students and Professionals: Those studying or working in AI-related fields and looking to enhance their practical skills and theoretical understanding of the LLM and Deep Learning.
Curious minds with creativity: Learners who are interested in the unique combination of technology and art and are eager to explore deep learning concepts through innovative methods such as origami.
Software Engineers: Interested in understanding and coding LLM as well as implementing AI alignment techniques with LLM
General public: People who are curious about how LLMs work and want to understand them thoroughly.
Audience: People who want to expand their experience in generative artificial intelligence using Python and PyTorch for LLM programming and alignment processes.
General public: People who want to know how all the key parts of how ChatGPT, Gemini or Claude work, so that they can be inspired by new ideas for the application of this technology
Audience: Those looking for a comprehensive introduction to generative artificial intelligence, deep learning, and neural networks
General public: Those who want to deeply understand how to learn neural networks in a fun and unique way through origami

LLM Mastery course specifications: Hands-on Code Align and Master LLMs

Publisher: Udemy
Lecturer: Javier Ideami
Training level: beginner to advanced
Training duration: 16 hours and 30 minutes
Number of courses: 128

Course headings

LLM Mastery_ Hands-on Code, Align and Master LLMs

LLM Mastery course prerequisites: Hands-on Code Align and Master LLMs

Basic knowledge of python. It’s enough with the very basics, as we will code every little thing together, line by line
You can code either on a free online platform like Google Colab, or using your local Laptop or Desktop
Lots of enthusiasm. We are going to go really deep into both the code and the concepts around the code. You can grow and stretch your knowledge and experience a lot if you stay focused and motivated throughout the course, let’s do it 🙂

Course images

LLM Mastery_ Hands-on Code, Align and Master LLMs

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: English

Quality: 1080p

The 2024/10 version has increased the number of lessons by 9 and the duration by 1 hour and 5 minutes compared to 2024/8. The course quality has also been increased from 720p to 1080p.

Udemy – LLM Mastery: Hands-on Code, Align and Master LLMs 2024-10