Browse by focus

Find the right lane fast.

Start with a level, then refine by format or deep dive.

Resource list

Explore the curated picks.

Showing 46 resources.

View all
Tutorial

OpenAI Guide: Function Calling

OpenAI

Tutorial

vLLM Documentation

vLLM

Tutorial

NVIDIA NeMo Documentation

NVIDIA

Tutorial

Gemini API Quickstart

Google

Tutorial

PyTorch Tutorials

PyTorch

Tutorial

Datasets Documentation

Hugging Face

Tutorial

Transformers Documentation

Hugging Face

Tutorial

Haystack Documentation

deepset

Tutorial

LangGraph Documentation

LangChain

Tutorial

LangChain Documentation

LangChain

Tutorial

LlamaIndex Documentation

LlamaIndex

Tutorial

Chroma Documentation

Chroma

Tutorial

Milvus Documentation

Milvus

Tutorial

Qdrant Documentation

Qdrant

Tutorial

Weaviate Documentation

Weaviate

Tutorial

Anthropic Prompt Engineering Guide

Anthropic

Tutorial

Cohere Documentation

Cohere

Tutorial

Mistral AI Documentation

Mistral

Tutorial

Azure OpenAI Documentation

Microsoft

Tutorial

Amazon Bedrock Documentation

AWS

Tutorial

Vertex AI Generative AI Docs

Google Cloud

Tutorial

Google AI Studio Docs

Google

Tutorial

Anthropic Documentation

Anthropic

Tutorial

OpenAI Cookbook

OpenAI

Tutorial

OpenAI API Documentation

OpenAI

Tutorial

Streamlit for ML Applications

Streamlit

Tutorial

Gradio - Build ML Demos Quickly

Gradio

Tutorial

Pinecone Vector Database Guide

Pinecone

Tutorial

Building RAG Systems - Complete Guide

Pinecone

Tutorial

Docker for Machine Learning

Docker

Tutorial

FastAPI for ML Model Deployment

FastAPI

Tutorial

Building AI Agents with LangChain

LangChain

Tutorial

Ollama - Run LLMs Locally

Ollama

Tutorial

GitHub Copilot for AI Development

GitHub

Tutorial

Jupyter Notebooks for Data Science

Project Jupyter

Tutorial

Weights & Biases - ML Experiment Tracking

Weights & Biases

Tutorial

LangChain for LLM Applications

LangChain

Tutorial

Hugging Face Transformers Library

Hugging Face

Tutorial

ChatGPT API for Developers

OpenAI

Tutorial

Stable Diffusion - Text-to-Image Generation

AUTOMATIC1111

Tutorial

OpenCV Python Tutorial for Beginners

OpenCV

Tutorial

YOLO Object Detection - Complete Guide

Ultralytics

Tutorial

PyImageSearch Computer Vision Tutorials

PyImageSearch

Tutorial

Fine-Tuning Large Language Models

Hugging Face

Tutorial

Building with LangChain - Complete Guide

LangChain

Tutorial

Building a Neural Network from Scratch

3Blue1Brown

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.