AIACI Lab
Build practical judgment through hands-on exercises based on realistic business scenarios.
Applied
AI Management
Practical AI training for managers leading workflow redesign, team capability, and measurable adoption. Six modules, self-paced, fully online.
What It Is
A practical, self-paced certification for the managers who will actually integrate AI into how their teams work. Six modules covering opportunity spotting, workflow redesign, tool selection, adoption, and measurement. Fully online, with regular live faculty sessions.
Who It's For
- Functional managers and team leads across operations, finance, HR, marketing, and customer success
- Product, program, and project managers integrating AI into delivery
- People managers leading hybrid teams through AI-enabled workflows
- Consultants and internal practitioners scaling AI use across departments
Curriculum
Six Modules, Built Around
Six Modules, Built Around
the Work, Not the Tooling
01 AI Fundamentals for Managers
- Modern AI in Plain Language: Generative, Predictive and Agentic
- What AI Can and Cannot Do - and Why
- The Manager's Vocabulary: Prompts, Context, RAG, Guardrails
- Ethics, Bias and Responsibility for Everyday Decisions
02 Identifying & Prioritizing AI Opportunities
- Spotting High-Value AI Opportunities in Your Team's Work
- Scoring on Value × Feasibility × Risk
- Sequencing for Delivery: Quick Wins First
- Defending Your Priority List to a Skeptical Leader
03 Workflow Redesign & Process Integration
- Mapping the Current Workflow Before Changing It
- Automate, Augment, or Leave Alone: Deciding Per Step
- Human-in-the-Loop Checkpoints and Override Paths
- Designing Safe Rollback and Exception Handling
04 Tool Selection, Governance & Risk
- Evaluating AI Tools Beyond the Demo
- Data Exposure, Privacy, and Vendor Trust
- Working with IT, Legal, and Procurement
- ISO 42001, NIST AI RMF and the EU AI Act in Practice
05 Leading AI Adoption & Team Enablement
- The Five Real Adoption Barriers - and How to Address Them
- Building Shared Team Practices and Prompt Libraries
- Communicating AI Use Credibly, Inside and Out
- Change Management for AI-Enabled Workflows
06 Measuring Adoption, Impact & ROI
- Three Layers: Adoption, Quality, Outcome
- Baselines and Honest Attribution
- Reporting Impact Upward Without Overclaiming
- Scaling, Pivoting, or Killing an AI Initiative
Included with your certification
Live sessions with lead faculty
Ask questions, explore challenges, and gain practical insights directly from our lead faculty.
Free annual refresh course
Stay current with a free yearly update on AI, policy, and governance.
Certificates and LinkedIn badges
Receive printed and digital certificates, plus a shareable LinkedIn badge.
Included Practical Resources
Tools to Put the Learning Into Practice
Participants receive a practical implementation toolkit they can refer to throughout the certification and use afterward to apply the learning in their teams.
- AI Manager Reference Guide Core concepts, terminology, limitations, guardrails, and key governance frameworks in one place.
- AI Opportunity Prioritization Scorecard Compare potential use cases by value, feasibility, and risk.
- Workflow Redesign Canvas Map current and future workflows, human checkpoints, exceptions, and rollback paths.
- AI Tool and Vendor Evaluation Checklist Assess fit, data exposure, privacy, governance, and procurement readiness.
- Team Adoption Plan and Prompt Library Template Establish shared practices, ownership, training, and safe use across a team.
- Adoption, Impact, and ROI Tracker Set baselines, monitor adoption, quality, and outcomes, and report results clearly.
Tuition
Enroll
USD$980Includes tax
All-inclusive. Covers certification learning materials, the practical implementation toolkit, faculty feedback, the formally issued AIACI™ certificate, LinkedIn-shareable digital badge, direct academic support, and the initial three-year credential term. Renewal after that term requires the current AIACI renewal module, renewal assessment, and applicable renewal fee.