Three programs are available today, at three levels of depth. Each one builds capability that shows up in real work rather than a completion certificate. The foundational programs are included in the two larger ones, so a team at mixed levels can start together.
Human-First AI Literacy and Human-First AI Fluency build the base that everything else depends on: understanding what AI is and where it fails, using it safely, and getting reliable results rather than lucky ones.
For commercial buyers they are included in AI Agility Challenge and Applied AI Certificate rather than sold on their own. That is deliberate. Nearly every knowledge worker needs this layer, and pricing it separately would mean the people who need it most are the ones who skip it.
Understand what AI is and where it fails, use it safely and responsibly, apply it to everyday work, and keep human judgment in the outcome. For anyone starting from the beginning.
Structured prompting, verification habits, and the ability to repeat a good result on purpose rather than by accident. The most common starting point for a working professional.
Institutions license the foundational programs across an entire population as AI Foundations, priced on committed annual throughput, with institutional reporting and verified completion for every seat.
Applied AI Certificate combines three capability areas into one credential. The collaboration systems that make AI a reliable thinking partner. The workflow and agent design that turns individual capability into systems other people can run. And the responsible practice that lets any of it survive a governance review, a client, or a regulator.
More than twenty practical builds run against the learner's own work, so what comes out is a set of working systems rather than a certificate and a folder of notes.
Applied practitioners, and organizations that need capability they can point to.
The foundational programs, plus collaboration, workflow, and responsible practice content.
L2 → L3
$1,000 per seat.
Most AI training teaches people how to use AI. AI Agility Challenge teaches them how to direct it.
The difference matters because tool access is not capability. A team with AI licenses and no shared practice produces faster versions of the same work. A team that has built Human × AI collaboration systems produces better decisions, more defensible work, and methods other people can reuse.
Four things are different when someone finishes. They calibrate how much AI involvement a task actually warrants. They turn methods that worked once into reusable systems. They can get a model built to please them to genuinely disagree with them. And they can account for every substantive line of what they put their name on.
People who use AI daily, are good at it, and have stopped learning from prompting advice.
Human-First AI Literacy and Human-First AI Fluency, so a mixed team starts together.
L1 → L2
$500 per seat.
Responsible AI is usually delivered as policy: a document people acknowledge and then work around. This program treats it as professional judgment instead, because guardrails only hold when the people inside them understand what they are for.
Ten modules cover the substance directly. Bias in AI systems, transparency, privacy and data protection, intellectual property and attribution, and the verification habits that catch a hallucination before it reaches a client. Then the applied half: accountability in AI-assisted work, working within organizational policy, choosing tools responsibly, workforce wellbeing and human agency, and building responsible practice from wherever you sit.
Learners finish with more than ten practical tools and a responsible AI action brief they can apply to their own work.
Any professional whose work touches customer or employee data, regulated material, or anything published under the organization's name.
AI Foundations
Runs alongside AI Agility Challenge rather than after it.
$300 per seat.
Applied AI Certificate is not the next step. It contains AI Agility Challenge in full, so there is nothing in it a completer has not already done. It is the alternative starting point for someone who wants the whole applied path from the beginning.
The path forward from the Challenge is to add the pieces the Challenge does not cover.
Professional judgment on bias, privacy, verification, and accountability.
Workflow design, bounded agents, and the human checkpoints that keep them accountable.
An agentic learning guide with persistent memory, built into the platform, coaching each learner through applied practice against their own work.
Long enough to finish well. Typical completion is five and a half weeks.
Every seat carries verified completion, not access alone. Over 75 percent of learners finish.
Twelve months in the Directing Intelligence community, plus Momentum Modules, applied AI content organized by business function.
A scheduled cohort run by a partner institution, with a live kickoff, a group discussion board, and a facilitator throughout.
One employer, one cohort, run at a shared pace against your own context and your own work as the practice material. Typically 15 to 20 people.
Register and start today. Automated activity nudges keep you moving. Same content, same platform, same certificate.
We publish our roadmap because capability building is a multi-year commitment and buyers should know where a program sits before they start. Nothing below is available for purchase yet.
L3 → L4. Workflow design, bounded agents, and the human checkpoints that keep them accountable.
L4. Human-agent workflow architecture and governance at scale.
L5. Orchestrating agents, data, and systems across functions.
L6. Use-case identification, implementation roadmaps, adoption, and change management.
Tell us about your team or institution. We'll show you how humanskills.ai fits — and share case studies, outcomes data, and partnership details relevant to your situation.
Or email us directly: hello@humanskills.ai
