Minicourses·Pathway · In design

Getting Ready to Work with AI

Six micro-courses that build toward one artifact: Your 1-page AI Initiative Brief.

Micro-courses
6
Lessons
55
Exercises
21
Time
~6–8 hr

Your progress

0 of 29 lessons0%

0/2900 XP

    Pathway capstone

    Your 1-page AI Initiative Brief

    A single page tying together your digital posture, your AI fluency playbook, your sensitive-data + integrations map, your workflow patterns, your process benchmark, and the one initiative you commit to running. You leave each course with one section filled in. Course 6 binds the six pieces into a single page you can take to a supervisor or commit to yourself.

    Open the brief

    About this pathway

    An on-ramp for the people who'll work alongside AI but didn't grow up with it. The models compound faster than anyone can read about them; this pathway closes the velocity gap without pretending the technology is simple. Six micro-courses, taken in order, each ~1–2 hours, with verification habits baked in from the start.

    We begin at the digital ground floor, build a working AI fluency you can actually use, set up the safety habits that protect you before you connect AI to your accounts, practice AI inside real workflows, learn to benchmark a process honestly, and finish by shipping one initiative end-to-end. Every course produces a piece of the same artifact: Your 1-page AI Initiative Brief.

    At the end of the pathway, the door opens to the cert paths for learners who want operator-grade depth. AWS AI Practitioner is the natural next step.

    Pathway

    Six micro-courses, taken in order.

    1. 1 of 6

      Micro-course · ~3-4 hr

      Digital Foundations

      The free on-ramp to the Getting Ready for AI path, in plain language for anyone who can send a text and check email. We ground you first in the everyday basics: where your files live, how to make and save a document, how your device runs, storage and backups, accounts and passwords, keys and secrets, how your device reaches the internet, browsing and judging what you find, email, and protecting your personal info. Only then do we name the cloud for what it really is, files on someone else's computer behind your login, and hand you the one judgment that matters the moment you open an AI tool.

      Open
    2. 2 of 6

      Micro-course · ~3 hr

      AI Fluency Foundations

      The topics that appear across every recognized AI-literacy canon: AWS AIF-C01, Azure AI-900, Google Generative AI Leader, EU AI Act Article 4, UNESCO 2024 AI Competency Frameworks, Anthropic 4D, and NIST AI RMF GOVERN. Vocabulary, capabilities and limits, responsible-AI principles, human-AI interaction skills, delegation judgment, diligence, and your role inside an organization that uses AI. Literacy tier, not builder tier. Capstone artifact: your personal AI Fluency Playbook.

      Open
    3. 3 of 6

      Micro-course · ~2.5 hr

      Sensitive Data + AI-Safe Behaviors

      The complete AI-safety hygiene set for a working professional: classify sensitive data, spot AI-enabled scams, treat every prompt as a data egress, manage API keys + secrets like a pro, control AI vendor data behavior (training opt-outs, retention, deletion), grant least-privilege OAuth scopes when connecting AI to your accounts, recognize the OWASP LLM Top 10 in plain English, and apply your employer's acceptable-use policy. Anchored to NIST AI RMF, ISO 42001, NIST SP 800-53 IA-5, OAuth 2.0, OWASP, and EU AI Act Article 4.

      Open
    4. 4 of 6

      Micro-course · ~1.5 hr

      Working AI Fluency in Practice

      A tight tour of the major AI realms (language, vision, audio, video, agents, code) and the working-fluency behaviors that distinguish effective AI users. Built on Anthropic's 4D framework (Delegation, Description, Discernment, Diligence) extended with the empirical findings from MIT NANDA's 2025 GenAI Divide report and the Microsoft "power users" segment.

      Open
    5. 5 of 6

      Micro-course · ~1.5–2 hr

      Benchmarking + Business Process Mapping

      How to map a real business process end-to-end, identify which steps are AI-eligible, and benchmark the potential time / cost / quality / risk impact before committing to a build.

      Open
    6. 6 of 6

      Micro-course · ~2 hr

      Your AI Initiative Playbook

      Pick a proven AI initiative, plan it against your real context, and walk out with a 1-2 page packet you can take to your supervisor (business track) or commit to yourself (personal track). Catalog of proven initiatives is research-backed with case studies and citations.

      Open

    Next: cert paths

    Module 6 hands off to certification prep.

    Once Module 6 lands, the next door is the AWS AI Practitioner (AIF-C01) prep guide: operator-literate depth on the same foundations. From there the full lineup unfolds: AWS AI Practitioner, Microsoft Azure AI Fundamentals, Google Cloud Generative AI Leader, GitHub Foundations, GitHub Copilot, plus the NVIDIA instructor track (NCA-GENL, NCA-GENM, NCP-AAI, NCP-GENL) and the Anthropic / Claude track.

    See the cert paths