Eng. Ziad Ahmed

Data Scientist Specialized in Large Language Models

3 courses19.8K views

Data scientist and engineer specializing in large language models. Expert in natural language processing, automation, and data analysis.

Courses by Eng. Ziad Ahmed

4.7(65)|984|3:18
Large Language Models
Train and Customize Language Models
Eng. Ziad Ahmed
Start your journey now
4.6(59)|587|3:33
LangChain Application Development
Practical Guide to Building AI Apps with LangChain
Eng. Ziad Ahmed
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5.0(21)|18.2K|5:18
AI Automation Agent
Designing AI Automation Agent with n8n
Eng. Ziad Ahmed
Start your journey now

What you will learn with Eng. Ziad Ahmed

Large Language Models

This course explains large language models (LLMs), how they work, and how they can be customized to build smart applications. It starts with an introduction, then the time before the era of Transformers and the basics of Tokenization. After that it explains the Transformer architecture in four parts, including the Multi-Head Attention mechanism, then the different architectural patterns. You then learn Prompts and Prompt Engineering, the BERT model and its applications, and the Configuration Parameters in language models. You also get to know the Hugging Face platform in three parts, then carry out a hands-on project that summarizes YouTube content using Transformers.

Comprehensive understanding of training and customizing large language models.
Ability to use the Hugging Face platform to work with LLMs.
Mastery of PEFT and LoRA techniques for efficient model customization.
Capability to build smart applications for text analysis and content summarization.

LangChain Application Development

This course teaches LangChain application development, meaning how to build AI applications based on large language models (LLMs). It starts with an introduction, then the basics of the OpenAI API and its advanced methods, followed by LangChain models using OpenAI and using Gemini. After that you learn Prompt Templates, Few-Shot Learning, Output Parsing, LangChain chains, and memory in LangChain across two parts. The course then moves to Hugging Face: an introduction to it, using it with LangChain, its models, and integrating it with LangChain. It also includes a project that summarizes YouTube videos in two parts, followed by the projects used in the course.

Ability to build practical AI applications using LangChain.
Implement real projects based on LLMs from start to deployment.
Use HuggingFace with LangChain in real applications.
Analyze and organize outputs using Output Parsing techniques.

AI Automation Agent

This course shows you how to design an AI automation agent (AI Agent) using the N-eight-N platform, meaning how to build tasks that run automatically without manual work. It begins with an introduction to the course and an explanation of what automation is and why we use it, then the ways to run N-eight-N and sign up for it. After that you learn Nodes and Triggers over several consecutive parts, the most important Nodes, connecting Telegram to N-eight-N, and then practice building a Workflow.

Design intelligent automation agents that meet various business needs.
Create effective automation systems using n8n.
Master handling automated processes and performance analysis.
Develop your skills to deliver innovative AI-driven solutions.