AI Anytime Business · Content Licensing

License a library of real AI engineering, built on camera.

Original, hands-on tutorials on agents, RAG, fine-tuning and LLMOps — available as training and evaluation data for AI teams, or as learning content for your people.

470+ videos210+ hoursTranscripts + codeNon-exclusiveWholly owned

Request the catalog See what's inside

In short

AI Anytime licenses its original library of hands-on AI engineering videos — with transcripts, linked code and metadata — to AI companies for model training, fine-tuning and evaluation, and to companies, universities and EdTech platforms as learning content. Licences are non-exclusive by default, AI Anytime keeps ownership, and the videos stay on YouTube.

The library at a glance

Library: 470+ videos · 210+ hours
Typical length: ~20 minutes per video
Content: Hands-on AI engineering builds and explainers
Rights: Original and wholly owned
Licence: Non-exclusive by default
Tracks: AI data & evaluation · Learning content

Two licences

One library. Licensed for how you'll use it.

AI data & evaluation licence

Model builders, AI data companies and evaluation teams

Licensed uses

Pre-training and continued pre-training
Supervised fine-tuning and instruction data
Evaluation and benchmark construction
Multimodal (video, speech, screen) training

What you receive

Source video files
Timestamped, cleaned transcripts
Linked code repositories
Per-video metadata: topic, stack, level, runtime

Learning content licence

Corporate L&D, universities, EdTech and developer platforms

Licensed uses

Hosting on your LMS or learning platform
Curated paths for employees or students
Customer and partner education
Bundling with your own programs

What you receive

Curated learning paths by role and level
Video files ready for your platform
Transcripts and captions
Linked code for hands-on practice

Catalog snapshot

What's in the library.

Hours by topic across the full library. The video-level catalog — titles, runtimes, stacks and levels — is shared on request.

Agents & agentic AI
Tool calling, multi-agent systems, LangGraph, CrewAI, MCP and computer-use agents — built end to end.
117 videos40 h
Builds, tools & frameworks
Complete AI apps and tool walkthroughs: LangChain, Streamlit, n8n, Dify, scraping and automation.
83 videos38 h
Local & open-source LLMs
Running and building with Llama, Mistral, Qwen, Gemma, DeepSeek and friends — on CPU, GPU and on-device.
72 videos28 h
RAG & retrieval
Vector databases, embeddings, rerankers, GraphRAG and agentic RAG — from first pipeline to evaluation.
56 videos28 h
Multimodal: vision, speech & documents
OCR and document AI, vision-language models, segmentation, speech-to-text and text-to-speech.
59 videos24 h
Fine-tuning & training
LoRA and QLoRA, preference tuning, small language models, model merging and training from scratch.
30 videos17 h
LLMOps, evaluation & deployment
Evals, guardrails, observability, serving and deployment on AWS, Azure and GCP.
29 videos12 h
Concepts & crash courses
Long-form explainers: KV cache, mixture of experts, world models and more.
13 videos9 h
Talks & conversations
Keynotes, podcasts and guest conversations — licensed separately, on request.
15 videos20 h

Sample from the library

65 min

RAG & retrieval

Search Your PDF App using Langchain, ChromaDB, and Open Source LLM: No OpenAI API (Runs on CPU)

81 min

Fine-tuning & training

LLM Fine Tuning Crash Course: 1 Hour End-to-End Guide

59 min

Local & open-source LLMs

Build and Run a Medical Chatbot using Llama 2 on CPU Machine: All Open Source

8 min

Agents & agentic AI

10 - MCP Inspector: Test and Debug your MCP Server Locally

41 min

Multimodal: vision, speech & documents

Build a Document Summarization App using LLM on CPU: No OpenAI ❌

57 min

LLMOps, evaluation & deployment

Deploy LLMs (Large Language Models) on AWS SageMaker using DLC

Why this content

The kind of data scraping can't give you.

Real engineering, on screen

Most videos are full builds: code written, run, debugged and explained — the reasoning traces that text-only data lacks.

Voice, screen and code aligned

Narration, screen recording and working code describe the same task at the same moment — a naturally multimodal signal.

Current stacks

The library follows the field as it moves — from early open-source LLM apps to MCP, agentic RAG and context engineering.

Rights you can rely on

Every video in the core catalog is original and wholly owned by AI Anytime. One owner, one licence, no chain of title to untangle.

How licensing works

Clear rights. Short agreement.

Exclusivity: Non-exclusive by default. Exclusive or time-limited exclusive terms are available for defined scopes.
Ownership: AI Anytime keeps ownership. You receive a licence for the uses, term and territory agreed.
YouTube: The videos stay public on YouTube. Licensing covers commercial use beyond YouTube's terms.
Scope: Whole library, selected topics or a hand-picked set — licensed by the hour, not by the URL.
Delivery: Secure transfer of files plus a manifest of every asset, with checksums and metadata.
Evaluation: A sample set with transcripts and metadata is available so your team can assess quality before signing.

From first call to files

01
Tell us the use
Training, evaluation or learning — and the topics you need.
02
Get the catalog
We share the full video-level catalog and an evaluation sample.
03
Agree scope & terms
Selection, rights, term, territory and exclusivity, in one short agreement.
04
Receive the files
Videos, transcripts, code and manifest, delivered securely.

FAQs

Content licensing: FAQs

More answers on the FAQ page, or ask us.

Can I license AI Anytime's YouTube videos for AI training?

Yes. AI Anytime licenses its original AI engineering videos, transcripts and linked code to companies that train, fine-tune or evaluate AI models. Licences are commercial agreements separate from YouTube and are non-exclusive by default.

What is AI training data licensing?

It is a commercial agreement that gives an AI company the right to use content — here, videos, transcripts, code and metadata — to train, fine-tune or evaluate models, for an agreed scope, term and territory, while the creator keeps ownership.

What topics does the library cover?

Hands-on AI engineering: AI agents and agentic systems, RAG and retrieval, fine-tuning, local and open-source LLMs, multimodal and document AI, LLMOps and deployment, and long-form concept explainers.

Who owns the content?

AI Anytime owns the core catalog in full. Talks, podcasts and guest conversations are listed separately and licensed on request.

Is the licence exclusive?

Non-exclusive by default, so the content can also be licensed to others and stays on YouTube. Exclusive or time-limited exclusive terms can be agreed for a defined scope.

What formats do you deliver?

Source video files, timestamped transcripts and captions, links to the code repositories used in each video, and a manifest with per-video metadata such as topic, stack, level and runtime.

Can we host the videos on our LMS or learning platform?

Yes. The learning content licence covers hosting on your LMS or platform for an agreed learner group — employees, students or customers — with curated learning paths by role and level.

Will the videos be removed from YouTube?

No. Licensing does not affect the public YouTube videos. It grants commercial rights that a YouTube view does not.

How is a licence priced?

By scope: the hours of content selected, the rights granted (training, evaluation or learner access), term, territory and exclusivity. Tell us your use and we will send the catalog and terms.

Can we evaluate the content before licensing?

Yes. We share an evaluation sample with transcripts and metadata so your team can assess quality and fit before signing.

Request the catalog

Tell us how you'll use it.

Share your use — training, evaluation or learning — and the topics you need. We'll send the video-level catalog, an evaluation sample and terms.

Video-level catalog with metadata
Evaluation sample before you sign
Terms scoped to your use