ADPT-01
1 day
Generative AI Fundamentals
Teams are experimenting with AI tools without shared language, safety norms, or repeatable workflow habits.
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Course catalog
Curriculum built for economic growth, not just course completion
LevelUp designs applied AI, technical, workforce, and institutional curriculum that helps partners build capability people can prove on the job.
- AI adoption
- Workforce systems
- Licensable pathways
- Signature output
- Every course produces artifacts, evidence, and implementation value.
- How partners use it
- License a single module, a full pathway, or a co-designed build with adaptation support.
Find the right starting point
Start from the partner need.
22 programs across four capability areas — fast AI adoption, deeper leadership capability, technical pathways, and broader workforce or entrepreneurship systems.
7 courses
AI adoption workshops
Each course is designed around artifacts a partner can inspect: prompts, workflows, governance notes, project plans, repos, demos, portfolios, or implementation roadmaps.
ADPT-03
1 day
Practical Prompt Engineering
Most AI use fails because requests are vague, context is missing, and outputs are not evaluated systematically.
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ADPT-04
1 day
AI for Small Business and Entrepreneurs
Small teams need practical leverage from AI without enterprise budgets, complex procurement, or vague strategy work.
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ADPT-07
1 day
AI-Assisted Prototyping and Coding
AI can speed software work, but learners still need architecture, quality, security, and version-control judgment.
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ADPT-11
1 day
Building and Evolving Custom GPTs
Custom assistants often fail because they lack a clear job, useful context, guardrails, testing, and improvement routines.
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ADPT-12
1 day
Become Your Team's AI Champion
AI adoption stalls when everyone waits for central experts or when early adopters cannot coach peers safely and consistently.
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ADPT-13
1 day
AI at Work: From Curiosity to Capability
People try AI once or twice, but do not turn it into reliable workflows that improve real work quality or speed.
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5 courses
AI leadership and strategy
Each course is designed around artifacts a partner can inspect: prompts, workflows, governance notes, project plans, repos, demos, portfolios, or implementation roadmaps.
LEAD-02
1 day
Generative AI Executive Briefing
Leaders need shared language and a clear view of opportunity, risk, and decision points before AI tools spread informally across the organization.
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LEAD-05
1 day
AI Strategy and Use-Case Prioritization
Organizations often chase scattered AI experiments instead of prioritizing use cases by value, feasibility, risk, and readiness.
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LEAD-06
1 day
Responsible AI, Governance, and Risk
AI adoption can create reputational, legal, operational, and equity risks when teams lack practical guardrails.
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LEAD-14
1 week
AI Leadership Implementation Intensive
Leaders need enough depth to guide teams through adoption, redesign work, govern responsibly, and measure value.
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LEAD-15
1 month
AI Mini MBA
Leaders need to connect AI to strategy, customers, operating models, team performance, and measurable business change.
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4 courses
Digital readiness and cyber resilience
Each course is designed around artifacts a partner can inspect: prompts, workflows, governance notes, project plans, repos, demos, portfolios, or implementation roadmaps.
READY-08
1 day
Cybersecurity Awareness and Digital Hygiene
AI-enabled threats, phishing, weak passwords, and unsafe collaboration practices create risk for individuals and organizations.
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READY-10
1 day
Technology Career Readiness
Many learners complete training without knowing how to present work, interview, communicate, or show credible evidence to employers.
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READY-16
1 month
Foundations of Digital Literacy and Coding
Learners often enter technical programs without the digital fluency, confidence, vocabulary, and habits needed to persist.
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READY-17
1 month
Digital Venture and Tech Career Readiness
Learners need a practical bridge between digital tools, career readiness, venture thinking, and visible work products.
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6 courses
Technical AI and engineering pathways
Each course is designed around artifacts a partner can inspect: prompts, workflows, governance notes, project plans, repos, demos, portfolios, or implementation roadmaps.
TECH-09
1 day
Git and GitHub Fundamentals
Learners and teams need visible, professional collaboration habits before their technical work becomes credible to employers.
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TECH-18
18 weeks
Applied AI and Machine Learning Systems
Partners need deeper AI talent pathways where learners can build, evaluate, deploy, and explain real systems, not just complete isolated notebooks.
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TECH-19
6 months
AI Product Engineering and Full-Stack Development
Modern software programs need to teach full-stack engineering alongside AI-assisted development, API integration, and intelligent product patterns.
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TECH-20
6 months
Python Backend and Automation Engineering
Learners need durable engineering habits in Python before moving into automation, data, backend, AI, or software roles.
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TECH-21
16 weeks
Cybersecurity
Partners need security training where learners work hands-on against real systems and can also explain, detect, and defend against what they did.
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TECH-22
16 weeks
Digital Forensics and Incident Response
Investigations fail on process rather than tooling: evidence handled without provenance, timelines that cannot be reconstructed, and reports that do not hold up under scrutiny.
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What partners receive
The catalog travels as a page, a print view, and a PDF.
Course codes appear in agreementsFour canonical capability areasPrint catalog and PDF from the same data
Next step
Bring this catalog to your region, institution, or workforce.
LevelUp can support curriculum licensing, instructor enablement, partner delivery design, and employer-aligned implementation planning.