Executives & C-Team
You set AI strategy or sign off on adoption decisions.
- How AI creates business value
- How to govern AI responsibly
- How to align teams and drive adoption
SELF-DIRECTED LEARNING · UNITED STATES
Explore Practical AI Learning Paths for Your Role
If you're an individual contributor or a team lead in the US trying to figure out where to start with workplace AI, this page helps you pick two things: a role-based learning path that matches what you actually do, and a starting level that matches what you already know. It is a self-directed learning hub, not a request form — if you're looking to request training or an engagement for your organization, see the corporate training request page instead.
Choose Your Starting Level
LuMay Academy organizes role-based AI training into ten tracks. Find the one closest to what you do today — each track points to the kind of skills and use cases that track covers.
Business Teams
You run day-to-day workflows and want AI to remove repetitive work.
- Mapping high-value daily use cases
- Improving team workflow throughput
- Adopting AI with measurable outcomes
Product Teams
You scope, prioritize, or ship AI-touched product work.
- Defining AI-ready product opportunities
- Designing agent-assisted user journeys
- Tracking adoption and value metrics
Engineering & IT
You build, integrate, or operate AI systems.
- Architecting agent workflows safely
- Integrating AI into enterprise systems
- Operating AI with monitoring controls
Sales & Marketing
You use AI for outreach, content, or lead work.
- Personalizing outreach at scale
- Prioritizing leads with intelligence signals
- Supporting campaigns with agent workflows
Customer Support
You handle tickets, escalations, or service quality.
- Reducing response effort per ticket
- Applying AI for knowledge retrieval
- Improving consistency and service quality
Operations
You coordinate process, exceptions, or reporting.
- Identifying process bottlenecks
- Automating repetitive operational steps
- Monitoring operational outcomes
Finance
You work in forecasting, review, or reporting.
- Using AI for forecasting support
- Detecting anomalies earlier
- Improving finance reporting confidence
HR & Talent Teams
You run hiring, onboarding, or workforce enablement.
- Speeding up interview and hiring workflow
- Improving onboarding guidance
- Running role-based enablement programs
Legal & Compliance
You review documents or maintain governance controls.
- Reviewing documents with AI assistance
- Maintaining governance controls
- Enforcing human-review checkpoints
How to Pick a Practical Learning Objective
"Learn AI" isn't a goal you can act on. A useful starting point names a level and a concrete, checkable outcome.
Pick a starting level first
- New to AI: start with the basics of what these tools can and can't do, and where the risk and judgment calls sit.
- Using AI occasionally: focus on turning ad-hoc use into a repeatable habit tied to one real task.
- Already applying AI regularly: focus on evaluating quality, governance, and where to push further into your workflow.
Write a concrete objective, not a vague one
- Vague: "Understand AI better."
- Concrete: "Be able to evaluate a vendor AI proposal and ask the right governance questions."
- Concrete: "Understand prompting basics well enough to draft a reusable prompt for one recurring task."
- A concrete objective tells you which role track and which exercise type (see below) is worth your time first.
Suitable Exercises
LuMay Academy's hands-on labs are organized into five categories. The exercise shown under each one is an illustrative example of the kind of task that category covers — confirm the current curriculum and availability when you request an engagement.
Prompting Labs
Example exercise: draft and compare two or three prompt variants for a task you repeat weekly, then judge which gives the more usable output.
Agent Workshops
Example exercise: map a multi-step workflow in your role and identify which single step an agent could safely take over first.
Vision Labs
Example exercise: walk through how an image- or document-reading model would summarize a sample file relevant to your role.
Knowledge Assistant Labs
Example exercise: outline the three questions a knowledge assistant would need to answer correctly to be useful for your team.
Governance Labs
Example exercise: list the human-review checkpoints you'd want in place before an AI-assisted output reaches a customer or regulator.
Frequently Asked Questions
How do I choose a starting level?
Match it to how much you already use AI day to day: new to AI, using it occasionally, or already applying it regularly within your role. Pick the role track above that matches what you do, then set one concrete objective (see "How to Pick a Practical Learning Objective") so you know what "done" looks like.
Is this self-paced, or does it include live instruction?
LuMay Academy's program description references both live workshops and in-depth, self-directed content alongside hands-on labs. The exact mix available to you — live, self-paced, or blended — depends on the specific program, so confirm this when you request an academy engagement below.
How is this different from the corporate training request page?
This page is a self-directed learning hub for individuals and team leads deciding where to start. The corporate training request page is for organizations submitting a request to set up training for a team or department.
Does completing an exercise earn a certificate or credit?
Not confirmed as a general outcome of these exercises. LuMay Academy does describe a separate "Enterprise AI Careers Program" that mentions certification support, but that is specific to that program, not a guarantee attached to every lab or exercise. Ask about certification specifics when you request an engagement.
What if my role doesn't match any of the ten tracks exactly?
Pick the closest match — most of the content (prompting, evaluating AI output, governance basics) carries across roles. If you want something tailored more precisely, raise it when you request an academy engagement.
Ready to Start Your AI Learning Path?
Tell us your role, your starting level, and your objective. LuMay will help point you to the right academy track or lab.