AI Training
Training that builds judgment: what AI can and can’t do in real systems, what risks matter, and how to make decisions you can defend later.
Training for Organizations
For non-technical and mixed teams who need practical literacy, not hype.
The goal is to raise the baseline: shared language, clearer expectations, and better decisions about where to invest (and where not to).
Formats
- Executive sessions: decision framing, risk appetite, and governance basics.
- Team workshops: practical use cases, boundaries, and operating responsibilities.
- Internal program: a short sequence to build shared judgment across functions.
Expected outcomes
- Clearer prioritization and fewer “AI because AI” initiatives.
- Better questions asked of technical teams and vendors.
- Shared boundaries around risk, responsibility, and acceptable outcomes.
Training for Software Engineers
For engineering teams building AI into real products and operations.
The objective is to raise engineering quality in AI systems: architecture, evaluation, reliability, cost, security, and operation — at the system level, not the demo level.
Conceptual curriculum (no tool focus)
- System boundaries: responsibilities, failure modes, and safe degradation.
- Evaluation: defining “good”, measuring it, and resolving disagreement with evidence.
- Reliability: predictable behavior, incident handling, and escalation paths.
- Cost control: budgets, control loops, and operating constraints.
- Security & abuse: exposure, misuse, and protective boundaries.
- Operability: observability, runbooks, and ownership.
Formats
- Bootcamp: intensive sessions + applied exercises tied to your system.
- Workshops: focus on a theme (evaluation, cost, safety, operations).
- Team coaching: weekly cadence during implementation to prevent expensive mistakes.
Expected outcomes
- Fewer fragile prototypes and more production-ready design decisions.
- Shared practices for evaluation, safety boundaries, and ownership.
- Better execution speed because uncertainty is reduced early.
Filter
- Not a beginner course: I assume your team has real context and real constraints.
- Not “AI inspiration”: everything is tied to decisions, risk, and operation.
- Not tool training: we focus on system design and judgment you can keep.
If you want your team to make better decisions under real constraints, let’s talk.
I’ll propose a format that fits your audience, constraints, and objectives.