AI Literacy and Strategy
For executives, managers, and cross-functional leaders who need a clear, practical model for AI adoption.
- AI capabilities and limits
- Risk, data, and governance basics
- Use-case prioritization matrix
- 90-day adoption plan
Curriculum
A practical AI adoption curriculum for modern teams.
Austin AI School programs are modular. Start with literacy, deepen with workflow labs, then build technical systems when the use case justifies it.
Tracks
Choose the depth your team needs.
Each track can run as a standalone workshop or as part of a longer enterprise enablement roadmap.
Applied Workflow Labs
For teams that need to apply AI to recurring work across finance, HR, sales, operations, and administration.
- Workflow mapping and redesign
- Prompt systems and QA loops
- Reusable department playbooks
- Measurement and adoption rituals
AI Agent Engineering
For technical teams ready to prototype and evaluate AI systems that retrieve data, use tools, and complete tasks.
- LLM APIs and structured outputs
- Embeddings, retrieval, and RAG
- Agent planning and tool use
- Evaluations, monitoring, and guardrails
Enterprise Sequence
From shared language to shipped use cases.
A strong program creates clarity for leadership, confidence for practitioners, and a repeatable mechanism for shipping AI-enabled work.
Readiness Assessment
Map business priorities, team workflows, data constraints, and risk boundaries.
AI Literacy Baseline
Create a shared vocabulary around LLMs, agents, automation, evaluation, and responsible use.
Workflow Lab Sprint
Redesign a real workflow with AI assistance, review checkpoints, and quality controls.
Prototype Build
Build templates, automations, or agent prototypes that support a defined business process.
Measurement and Scale Plan
Document the playbook, measure lift, define ownership, and plan the next cohort.
Modules
Curriculum blocks that can be mixed for your organization.
Prompt Systems
Reusable instructions, context patterns, examples, and review loops.
AI Policy Basics
Data handling, acceptable use, review thresholds, and escalation paths.
Workflow Mapping
Find where AI improves speed, quality, creativity, or decision support.
Evaluation
Score outputs, compare models, and measure quality before scaling.
RAG Systems
Chunking, embeddings, retrieval, citations, and knowledge-base design.
Agent Design
Planning, tool calling, memory patterns, and human review workflows.
Role Playbooks
Department-specific AI routines for recurring work and handoffs.
Adoption Rituals
Office hours, internal champions, scorecards, and executive reporting.
Workforce Partners
Career pathways for AI-enabled roles.
Partner programs translate the enterprise curriculum into accessible skill pathways for job seekers and working adults.
AI Workplace Fundamentals
Introductory track for professionals who need AI fluency, tool confidence, and responsible use habits.
AI Operations Specialist
Applied workflow track for learners preparing for analyst, coordinator, operations, and support roles.
Applied AI Builder
Technical portfolio track for learners building automations, retrieval apps, and agent prototypes.
Custom Cohorts