PROFESSOR PY
Tools for building AI, search and data systems.
Cloud infrastructure for Python & AI apps
Take your AI project from notebook to production
Deploy Python APIs, RAG backends and dashboards from your Git repository with App Platform, or use Droplets when you want more control over the server environment.
Add managed databases or GPU Droplets as your workload grows.
New accounts receive a $5 signup credit automatically.
Developer cloud for apps, APIs & databases
Deploy Python backends without managing infrastructure
Deploy FastAPI services, background workers and databases directly from your code. Railway handles deployment and hosting so you can focus on building your application.
Get $20 in Railway credits when you sign up through this link.
GPU compute for AI workloads
Run AI models on cloud GPUs
Launch GPU Pods for training, fine-tuning and inference, or use Serverless for workloads that need to scale with demand.
Sign up through this link and spend $10 to receive a randomized $5–$500 RunPod credit.
Workflow & AI automation
Connect your AI stack without hand-wiring every integration
Build workflows that connect APIs and applications, transform and move data, and add AI steps where they are useful.
Use n8n Cloud when you want the platform hosted and managed for you.
14-day free trial · No credit card required
Managed databases, streaming & search
Managed databases and streaming, without managing servers
Run PostgreSQL, Kafka and OpenSearch for application data, event streaming and search workloads, while Aiven manages the underlying infrastructure.
Free tiers · No credit card required · No expiry
Managed vector search & retrieval
Put production retrieval behind your RAG app
Build semantic and hybrid search for RAG, recommendations and retrieval-heavy AI applications without operating vector-search infrastructure yourself.
Start with Pinecone’s free tier, or explore the Standard trial with $300 in credits for 3 weeks.
Project-based courses in AI engineering, information retrieval, AI foundations and data engineering.
Built around practical Python, real systems and the concepts behind them.
Learn with Professor Py
Professor Py creates practical Python tutorials across AI engineering, AI foundations, information retrieval and search.
Watch on YouTube
Professor Py for AI Engineering (opens in a new tab)
Interested in working with Professor Py?
For affiliate partnerships, sponsorships, developer tools, educational collaborations, or resources that may be relevant to the Professor Py audience:
contact@professorpy.com
