Shaw Talebi Courses

The Hugging Face Transformers Library - Beginner's Guide and Chatbot UI with Gradio

1 rating

Explore the Hugging Face Transformers library for easy, cost-free use of open-source language models. Learn sentiment analysis, summarization, and build a chatbot UI with Gradio.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

AI for Business: A Non-Technical Introduction

1 rating

Explore AI's business value through a non-technical lens. Learn key concepts, practical applications, and five essential rules for leveraging AI effectively in your organization.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Fine-Tuning BERT for Text Classification - Python Code Tutorial

Dive into fine-tuning BERT for text classification, focusing on phishing URL detection. Learn key concepts and implement Python code to enhance your natural language processing skills.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Python QuickStart for AI Development - Mini-Course

Learn Python basics for AI development through a hands-on guide. Master data types, variables, scripts, loops, functions, and libraries. Build a research paper summarizer to apply your skills.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Compressing Large Language Models (LLMs) with Python Code - 3 Techniques

Explore three LLM compression techniques: quantization, pruning, and knowledge distillation. Learn to implement these methods with Python code examples for efficient model optimization.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Three AI Use Cases for Analyzing Sales Data

Explore three practical AI applications for analyzing sales data, demonstrated with real-world examples from a warm outreach campaign. Learn data augmentation, structuring unstructured data, and lead scoring techniques.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Local LLM Fine-tuning on Mac (M1 16GB) Using QLoRA and MLX

Fine-tune a local LLM on M1 Mac using MLX and QLoRA. Adapt Mistral 7b to respond like you to YouTube comments, with step-by-step guidance and code examples.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Automating Data Pipelines with Python and GitHub Actions - Code Walkthrough

Automate data pipelines using Python and GitHub Actions. Learn to create ETL scripts, set up repositories, configure workflows, and implement ML applications for efficient data processing.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

How to Deploy Machine Learning Solutions with FastAPI, Docker, and AWS

Deploy ML solutions using FastAPI, Docker, and AWS with a simple 3-step approach. Learn to create APIs, containerize applications, and deploy on cloud platforms for efficient machine learning deployment.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Building Machine Learning Solutions with Python - Code Walkthrough

Develop a semantic search tool for YouTube videos using Python, focusing on experimentation, evaluation, and UI building in machine learning solutions.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

How to Build Data Pipelines for ML Projects with Python Code

Learn to build data pipelines for machine learning projects using Python. Explore ETL vs ELT, extraction, transformation, loading, and orchestration. Includes practical example of processing YouTube video transcripts.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Text Embeddings, Classification, and Semantic Search with Python Code

Explore text embeddings for classification and semantic search with Python. Learn to transform text into computable vectors for powerful NLP applications.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

How to Improve LLMs with RAG - Overview and Python Code

Learn to enhance LLMs using Retrieval Augmented Generation (RAG). Explore its principles, implementation, and practical application in improving a fine-tuned model for YouTube comment responses.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

QLoRA - How to Fine-tune an LLM on a Single GPU with Python Code

Learn to fine-tune large language models on a single GPU using QLoRA. Explore quantization techniques, LoRA, and practical implementation with Python code for custom YouTube comment responses.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

3 Ways to Make a Custom AI Assistant: RAG, Tools, and Fine-tuning

Explore three methods to create custom AI assistants using OpenAI: GPTs, Assistants API, and Fine-tuning API. Learn to build a YouTube comment responder through practical demonstrations.

• YouTube
• 48 minutes
• Self-Paced
• Free Video