@cachemekate / Programs / ASEI Live Labs

Think. Create. Steward.

Hands-on, instructor-led labs for people who want to understand AI, create useful systems, and steward what they make. Progress from foundational AI literacy through applied engineering to evidence-based AI and software assurance.

  • AI Literacy
  • Applied Development
  • ASEI Assurance
Join the ASEI Live Labs interest listExplore the learning pathways

ASEI certification tracks are in development. Joining the interest list does not confer certification or reserve a credential.

Think · Create · Steward

Learning pathways

Three ways in

THINK, CREATE, and STEWARD are separate pathways. You can start with the one that fits your work. Completing every track is not required.

  1. 01 / THINK

    Understand AI

    AI literacy, metacognition, model behavior, bias, limitations, critical reasoning, and human oversight.

    Best for: Educators, coaches, project managers, business professionals, and curious learners.

    Outcome: A documented AI decision and evaluation framework.

  2. 02 / CREATE

    Create with AI

    Data modeling, APIs, GitHub workflows, agent orchestration, MCP, testing, and secure application architecture.

    Best for: Analysts, technical practitioners, developers, and teams.

    Outcome: A working, documented AI-enabled workflow or application.

  3. 03 / STEWARD

    Steward the evidence

    ASEI methodology, risk assessment, audit evidence, finding validation, remediation, retesting, and responsible deployment.

    Best for: Developers, technical reviewers, and aspiring auditors.

    Outcome: An evidence-backed assessment and stewardship plan.

Proposed curriculum

Ten labs, from literacy to assurance

Proposed curriculum. These labs are not all scheduled or currently available. Dates and enrollment will be published before a cohort opens.

  1. 01

    Thinking About Thinking

    Metacognition, bias, human–AI collaboration

    AI decision framework

    THINK

  2. 02

    AI Literacy & Model Behavior

    LLM behavior, limitations, hallucinations, prompting

    Model evaluation report

    THINK

  3. 03

    Data as Infrastructure

    Normalization, schemas, data quality, governance

    Structured data model

    CREATE

  4. 04

    Building with AI Agents

    Tool calling, orchestration, MCP, permissions

    Working agent workflow

    CREATE

  5. 05

    Applied Development

    GitHub, APIs, architecture, tests, deployment

    Functional project

    CREATE

  6. 06

    Secure by Design

    OWASP, secrets, dependencies, authorization

    Security assessment

    CREATE / STEWARD

  7. 07

    Introduction to ASEI

    Audit methods, evidence, severity, risk scoring

    Baseline ASEI audit

    STEWARD

  8. 08

    Remediation & Verification

    Findings, fixes, regression tests, audit trails

    Before/after audit report

    STEWARD

  9. 09

    Responsible Deployment

    Monitoring, oversight, change management

    Stewardship plan

    STEWARD

  10. 10

    ASEI Assessment Capstone

    Independent review of a controlled project

    Evidence-based audit portfolio

    STEWARD

Coming soon

Planned ASEI credential pathway

Three issuer-defined levels are in development. None of them is available for enrollment, and none is presented as accredited or endorsed by a standards body.

  1. 1

    Planned

    ASEI Foundations

    Interpret AI risks, assess scenarios, understand reports, and identify escalation needs.

    Proposed assessment: scenario-based evaluation.

  2. 2

    Planned

    ASEI Certified Practitioner

    Connect a code repository, execute ASEI, investigate and validate findings, and document remediation and retesting.

    Proposed assessment: independently completed practical audit.

  3. 3

    Planned

    ASEI Certified Auditor

    Assess unfamiliar systems, distinguish tool alerts from substantiated vulnerabilities, prioritize risk, and defend an audit report.

    Proposed assessment: independently reviewed capstone and oral defense.

These credentials are in development and are not currently presented as accredited, independently endorsed, or recognized by a standards body. Referencing OWASP, NIST, or ISO practices does not imply their endorsement or certification.

ASEI

What makes ASEI different

ASEI is a practical review sequence. Automated tool output is not a verified finding, and passing an assessment is not a guarantee of security.

  1. Step 1: Connect

    Use a permitted repository or safe training environment.

  2. Step 2: Run

    Execute scoped, authorized assessment checks.

  3. Step 3: Evaluate

    Review evidence and distinguish false positives from substantiated findings.

  4. Step 4: Fix

    Document and optionally implement authorized remediation.

  5. Step 5: Verify

    Rerun relevant checks and capture an audit trail.

Integrity

Practice environment and assessment integrity

Labs may use controlled, intentionally vulnerable sample repositories. Student access must be isolated, authorized, and limited to sandboxed targets. A credential assessment measures individual competence. Attendance, or a successful run of an automated tool, is not that assessment.

  • Lab attendance

    Showing up for a session. Attendance is not course completion, an individual credential, or a judgment of software.

  • Course completion

    Finishing the published coursework for a pathway. Completion is not an ASEI credential.

  • Individual ASEI credential

    A planned assessment of a person’s competence. It does not certify that person’s software or project.

  • Software or project assessment

    An evidence-based review of a system. It does not credential the person who built or reviewed it.

Audience

Who it’s for

The Foundations path does not require coding experience. Practitioner and Auditor paths will have technical prerequisites published before enrollment.

Who it’s for

  • 1

    Educators and nontechnical professionals

    People who need a clear way to question model output, name limitations, and decide when a human should stay in charge.

  • 2

    Builders and developers

    People who want to ship an AI-enabled workflow with tests, permissions, and a record of how it was built.

  • 3

    Technical leads and project teams

    Teams who need a shared language for data, architecture, and the evidence behind a release decision.

  • 4

    Future auditors

    Reviewers who want to practice turning tool output into substantiated findings, remediation, and a retest.

FAQ

Questions before you join

Not for Foundations. Practitioner and Auditor tracks will require technical proficiency, and those prerequisites will be published before enrollment.

Not yet. The curriculum and assessment criteria are still being developed. Joining the interest list does not confer a credential.

That is planned, subject to cohort availability. Not every lab is scheduled.

No. An individual competency assessment and a software or project assessment are separate. One does not certify the other.

No. ASEI is an independent, issuer-defined assessment methodology. Any mapping to a standard has to be documented for that engagement. Referencing a practice is not an endorsement by that body.

Practice uses authorized repositories or controlled labs, with access and privacy safeguards. Credential work is designed to measure your judgment, not only whether a tool ran.

Interest list

Think with care. Create with intention. Steward the evidence.

Join the interest list for new labs, pilot cohorts, and updates on the ASEI credential pathway.

ASEI certification tracks are in development. Joining the interest list does not confer certification or reserve a credential.

Explore our other Live Labs

We store your email, and a pathway preference if you choose one, on a list kept separate from other Live Labs. See the Privacy Policy for how messages are handled. Privacy Policy.