Learn. Build. Research.

Practical AI education

We create courses and tutorials about AI infrastructure, models, and automation. Our work includes testing new models, running benchmarks, and explaining how to use open-source and proprietary models in practical workflows.

Our research focuses on hands-on evaluation: understanding model behavior, comparing results, and turning experiments into useful learning material. Results depend on the model version, hardware, configuration, and task.

What we explore

Our learning and research span language, sound, vision, and document understanding. We explore open-source and proprietary models across six areas:

• LLM + Fine-tuning: Run language models, evaluate their outputs, and adapt them to your tasks with fine-tuning, retrieval, and agents.
• Voice & Audio: Explore speech recognition, text-to-speech, audio understanding, and voice workflows built with consent.
• Image Generation: Generate and edit images, compare model outputs, and build repeatable creative workflows with tools such as ComfyUI.
• Video Generation: Experiment with text-to-video and image-to-video, motion consistency, and the steps from generation to a usable clip.
• Music Generation: Explore music models, original composition, lyrics, and controllable generation with attention to licensing and creative rights.
• OCR: Turn scanned pages and images into usable text, extract document structure, and connect the results to practical automation.

Courses and learning resources

The learning library is free to read without an account. Our video course page lists upcoming course information. Udemy course links will be published when available.

We also offer paid 1:1 mentorship and mock interview sessions for engineers preparing for Senior SDE roles. Direct sales of video courses on this website are planned for a later stage.

Get in touch

For course questions, feedback on a model test, or tutorial suggestions, email info@aiinfraacademy.com.

AI Infra Academy LLC
Bellevue, Washington, USA