Our AI training principles
AI in our courses, on purpose.
Our stance on how AI shows up in Efficiency Squared training — what we validate, where we encourage trainee use, and why we believe the best way to teach AI is to embed it into the content our professionals are already learning.
Our position
How AI shows up in our training
We harness AI where appropriate, but all content, activities, and information is validated, modified, and ultimately owned by E². We encourage trainees to utilize LLMs during trainings — but only where the organization allows AI to be securely and ideally used within the constraints of organizational policy.
While we do offer AI-specific trainings on general application of LLMs, machine learning, and automation, we believe that the best way to understand how to utilize AI solutions is to embed AI safety and advanced applications of use into existing content. Ultimately, this is the very best way to help individuals and organizations through our current AI industrial revolution.
Our whitepaper outlines three things: (1) why AI is essential for modern professionals, (2) ways that leaders and team members can benefit from AI, and (3) the risks we must consider when utilizing AI. Request a copy below.
Four principles
What this looks like in practice
Human-owned content
We harness AI where appropriate, but all content, activities, and information are validated, modified, and ultimately owned by E². The instructors on every course are the ones accountable for what we teach.
Organizational policy first
We encourage trainees to use LLMs during training — but only where the organization allows AI to be used securely and ideally within its policy. No training session asks a learner to work around their own company rules.
Embedded, not bolted on
While we offer dedicated AI courses (general LLM applications, machine learning for professionals, and automation), we believe the best way to understand how to use AI solutions is to embed AI safety and advanced applications directly into existing content. That's how every core workshop now integrates AI.
Practitioner-led evaluation
Every AI workflow we teach is one our instructors use in real client engagements — not a demo from a vendor page. If a technique makes it into the syllabus, it has earned its spot.
Want the full AI whitepaper?
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