Agent foundations
Enterprise Agent Patterns
How real agent systems separate intent, tools, memory, routing, and human review.
Courses + guides + examples
AI training built from systems that actually exist.
TheoSym turns real production patterns into lessons, diagrams, guides, and quizzes. You learn how AI systems are designed, judged, and shipped while client-specific details stay private.
Why it works
Real systems, taught in public, with client details kept private.
The Academy packages the hard parts of AI implementation: agents, private knowledge, routing, inference, local AI, media operations, commerce, and regulated workflows. The public pages teach architecture and judgment. The paid work stays scoped, private, and client-specific.
You get three ways into the same body of work: guides to read, courses to practice, and examples to check.
Inference infrastructure
Inference and Serving Systems
How production AI systems serve models, control latency, monitor usage, and scale safely.
Document intelligence
Private Knowledge and RAG
How teams turn documents, SOPs, policies, and expert knowledge into grounded AI answers.
Enterprise agents
Connected Business Agents
How agents connect to business data, reason over it, and return useful evidence-backed outputs.
Model routing
Model Routing and Local AI
How teams choose between frontier models, local models, specialized engines, and fallback paths.
Quantum-classical systems
Quantum-Classical Architecture
How quantum-classical systems are framed for executives and technical decision-makers.
Course tracks
Six training paths from the AI factory.
Each track can become a weekly cohort, guide series, private workshop, or focused entry point into TheoSym implementation.
AI factory course, AI coding course, build with AI, production AI training
AI Factory Foundations
Founders, indie builders, consultants, and SMB operators
Understand how modern AI systems are assembled from agents, retrieval, model routing, tools, evals, and human review.
Modules
- -> How a user request becomes an AI workflow
- -> Meet the actors: agent, router, retriever, evaluator, human reviewer
- -> How to ask Claude Code or Codex for the right file changes
- -> Where AI systems break: stale context, bad retrieval, weak evals
- -> How to turn one workflow into a TheoSym build sprint
RAG course, private AI knowledge base, document AI guide
Private RAG and Knowledge Systems
Teams with documents, SOPs, support archives, policies, or expert knowledge
Learn how document AI works without exposing customer documents or proprietary retrieval rules.
Modules
- -> What retrieval changes compared with chat-only AI
- -> Chunking, indexing, citation, and answer quality in plain English
- -> How to evaluate whether an answer is grounded
- -> How private knowledge systems connect to business workflows
- -> Next step: audit, prototype, production build
local AI course, model routing guide, open models for business
Local AI and Model Routing
CTOs, technical founders, and privacy-conscious SMB teams
Know when to use frontier models, local models, specialized engines, and routing policies.
Modules
- -> Why one model is not enough
- -> Routing by task, risk, cost, latency, and data boundary
- -> How to describe routing requirements to AI coding tools
- -> Fallbacks, logs, and human review
- -> Next step: private model gateway or AI operating system
pharma AI course, GMP AI guide, LIMS AI training, ChatGMP training
Lab and Pharma AI With Aurora TIC
Lab owners, quality teams, pharma operators, and compliance consultants
Learn regulated AI concepts and where ChatGMP, DeepGMP, and LIMS AI fit in your lab and quality work.
Modules
- -> Why regulated AI needs evidence, not magic
- -> SOP, CAPA, deviation, audit, and LIMS workflow patterns
- -> Human review and Part 11-style accountability
- -> How DeepGMP and QGI engine concepts fit without overclaiming
- -> Next step: AI audit and lab implementation plan
AI content workflow course, video AI guide, social media automation course
Media and Social AI Production
Founders, creators, agencies, and media teams
Turn public media, talks, books, and posts into multilingual content and campaigns.
Modules
- -> How video becomes transcripts, clips, summaries, and guides
- -> Localization and GEO without duplicate low-quality pages
- -> Social scheduling, campaign feedback, and idea capture
- -> How to protect brand voice while generating at scale
- -> Next step: content engine, GPTPress, GEC, or digital twin campaign
agentic commerce course, SMB AI automation guide, AI sales automation
Agentic Commerce and SMB Automation
SMBs, ecommerce operators, agencies, and consultants
Explain how AI can support sales, catalog, support, negotiation, and follow-up without losing control.
Modules
- -> Agentic commerce in plain English
- -> Catalog enrichment and offer intelligence
- -> Support agents with escalation and guardrails
- -> What merchants must keep under human control
- -> Next step: SMB AI automation sprint
Your path
Guide, course, examples, cohort, build.
Start with a guide, check the examples, learn weekly through Coding with AI, and move into a private build sprint when you are ready. Each step is useful on its own.
Five steps
- 1. Guide: understand the problem and the architecture.
- 2. Course: teach the pattern with practical exercises.
- 3. Examples: see categories of shipped capability with clear architecture and outcomes.
- 4. Cohort: weekly Coding with AI training.
- 5. Build: a private TheoSym sprint, or QGI for enterprise engine work.