Nicholas Renotte
Computer vision, reinforcement learning, and autonomous agents with a focus on practical implementation and live coding.
Nutrition Label
Nicholas Renotte delivers highly practical, code-first tutorials that prioritize getting AI applications running from scratch. He distinguishes himself by documenting the engineering reality, including live debugging, dependency errors, and failed experiments like trading bots that lose money. Viewers can expect reproducible projects with source code, though the focus is often on rapid prototyping rather than deep theoretical analysis.
Strengths
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Notes
- !Tutorials focus on rapid prototyping; validate security and scalability before deploying code to production.
- !Check video descriptions for links to the creator's own paid courses, which are frequently promoted.
Why this score
“So if I now go and say 'What is the stock price of Apple?'... boom! It's actually gone and used that tool.”
Demonstrates the code working live in the Claude Desktop interface, proving the build was successful.
Open receiptTrust Breakdown
Mixed / General Lens: Scored with the default trust weighting.
Confidence pending. Based on 10 long-form videos.
These six Trust Core outputs drive the public creator rating. Communication affects discovery ranking separately. Methodology →
Recent Videos
I Spent 6 Weeks using Reinforcement Learning to Beat This GoDot Game
I trained a Sign Language Detection Transformer (here's how you can do it too!)
How to Build a Stock Screener AGENT with LangGraph in 30 Minutes (LangGraph Crash Course)
I trained an AI Model to Detect Trading Candlesticks (from scratch using ViTs)
How to Fine Tune your own LLM using LoRA (on a CUSTOM dataset!)
I tried getting LLMs to work together using ACP (Agent Communication Protocol)
I tried coding a LLM Crypto Trading Bot (to retire early $$$)
How to Build a MCP Server in 10 Minutes (for Stock Trading Agents)
How to hack a LLM using PyReft (using your own data for Fine Tuning!)
Here's why I've been MIA from YouTube, and how you can help
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