Shaw Talebi Courses

How to Build a Remote MCP Server with Authentication

Master building remote MCP servers with OAuth authentication to connect YouTube tools to ChatGPT and Claude through hands-on implementation.

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

Claude Skills Explained - Understanding Features, MCP, and Subagents

Discover Claude's Skills feature and how it differs from MCP and subagents through practical examples and a hands-on AI tutor demonstration.

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

How I Code with Python, Cursor, and Claude - AI Development Workflow

Discover a streamlined workflow for building AI applications using Python, Cursor IDE, and Claude AI coding assistant in just 23 minutes.

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

Training LLMs to Think - Understanding o1 and DeepSeek-R1 Models

Delve into advanced reasoning techniques for training language models through reinforcement learning, exploring OpenAI's o1 and DeepSeek-R1 methodologies and implementations.

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

Fine-tuning Multimodal Embeddings for Custom Text-Image Pairs Using CLIP

Master the process of fine-tuning CLIP embeddings for custom text-image pairs using Sentence Transformers, from data collection through model evaluation and practical implementation.

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

AI Essentials for Entrepreneurs

Discover the core AI concepts entrepreneurs need to build applications, from prompt engineering and RAG to fine-tuning and distillation, all explained in a concise, practical format.

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

Building an Upwork AI Job Dashboard with Python, Cursor, and Streamlit

Discover how to build an Upwork AI job dashboard from scratch using Python, Cursor, and Streamlit in this step-by-step coding demonstration that covers data transformation with LLMs and feature implementation.

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

30 AI Buzzwords Explained For Entrepreneurs

Discover essential AI terminology for entrepreneurs with clear explanations of 30 key concepts from LLMs and prompting to vector databases and reinforcement learning, without technical jargon.

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

ML Foundations for AI Engineers

Master the essential machine learning foundations needed for AI engineering in this comprehensive 35-minute guide covering ML techniques, deep learning, neural networks, and reinforcement learning.

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

How to Improve LLMs with Tools - OpenAI Agents SDK

Explore how to enhance LLMs with tools through OpenAI's Agents SDK, including prompting and fine-tuning techniques, with a practical YouTube Video Agent example and demonstration.

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

Model Context Protocol (MCP) Explained in 20 Minutes

Dive into the Model Context Protocol (MCP), learn how it works, and build your own custom MCP server with Python that connects to Claude Desktop in this practical AI agent tutorial.

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

LLM Workflows: From Automation to AI Agents with Python

Explore the design and implementation of AI agent workflows with Python, from basic automation to building a virtual assistant using OpenAI's Agents SDK, with practical examples and code.

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

LLM in a Loop: Automating Feedback with Evaluations

Discover how to improve LLM systems through automated feedback loops, with practical examples including an Upwork profile rewriter using OpenAI's Responses API and three types of evaluation methods.

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

How to Build a Notion AI Agent

Discover how to build a custom AI agent that integrates with Notion using MCP server and OpenAI's SDK to automate LinkedIn content management in just 18 minutes.

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

How to Improve AI Apps with Automated Evals

Discover how to scale AI app evaluation using automated evals and LLM judges to improve quality without manual review. Build better AI applications through systematic evaluation.

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