Rob Miles AI

Anthropic is an AI research and deployment company founded by former OpenAI researchers (including Dario Amodei). It develops large language models such as Claude and focuses on AI safety research and commercial model deployments.

AI Engineering from Scratch is a free, open-source curriculum developed by rohitg00 for learning to build and ship AI systems end to end. Its 20-phase sequence covers development tooling, mathematical and machine-learning foundations, deep learning, NLP, computer vision, generative AI, LLM applications, agent engineering, Model Context Protocol (MCP), agent skills, reinforcement learning, and related topics, with implementations in Python, TypeScript, Rust, and Julia. The repository describes 511 lessons and approximately 329 hours of material; each lesson produces a reusable artifact such as a prompt, skill, agent, or MCP server. Learners are instructed to read the lesson documentation, type and run the code from the repository root, record command evidence and outputs, and make a small change before continuing. It provides routes for complete foundations, mathematics and machine learning, production LLM applications, agent engineering, MCP, agent skills, and Claude certification preparation. The repository is distributed under the MIT license and is accompanied by a website containing the same lesson content.

Google DeepMind is an artificial-intelligence research and development organization that builds AI models and systems for general use, science, robotics, speech, image and video generation, music, and coding. Its featured systems include the Gemini family, Gemma open models, Veo video generation, Lyria music generation, Gemini Robotics, and AI systems for scientific discovery. The site also publishes research and provides access to models through products and developer platforms such as Google AI Studio, the Gemini API, and related enterprise tools.

OpenAI is an AI model provider whose language models are available through an API and can serve as one provider in multi-model routing architectures. The videos describe its models being used for AI replies and extraction, Amazon-review analysis and customer-service email generation, legal workflows, complex software development and debugging, and experimental or auxiliary agent tasks.

arena.ai is a model-discovery platform or mechanism used to find and try newly released AI models. The videos identify it as a resource for exploring available models rather than as a particular model itself.