About iniaz
What is iniaz?
iniaz is a practical AI systems training platform focused on teaching developers how to build production-ready AI applications. We don't just show you model demos—we teach you complete system architectures that scale.
Our Focus
We specialize in practical AI systems using:
- AWS Bedrock for managed AI infrastructure
- Anthropic Claude for production LLM deployments
- Postgres + PGVector for vector databases and semantic search
- RAG architectures for retrieval-augmented generation
- Production patterns for cost optimization, monitoring, and scaling
Continuous Updates
AI tooling and best practices evolve rapidly. iniaz content is updated continuously to reflect the latest production patterns, architectural approaches, and real-world learnings from building AI systems at scale.
Who This Is For
iniaz is designed for:
- Developers learning AI systems architecture
- Engineers building with AWS, Anthropic, and Postgres
- Technical learners who want structured explanations and diagrams
- Founders and builders who need practical AI knowledge
Our Approach
Every topic follows a structured learning format:
- Clear explanations of core concepts
- System architecture diagrams
- Step-by-step breakdowns
- Production-ready code examples
- Best practices and common mistakes
- Related topics for deeper learning