The training library spans foundations, prompting, workflow use, marketing, creative media, agents, automation, leadership, governance, and annual recertification readiness.
Each track combines concise lessons, scenario-based practice, and module quiz checks so employees can build confidence before moving into certification exams.

modules
training tracks
module quiz questions
AI basics, tool selection, privacy, accuracy, bias, and human oversight.
Prompting fundamentals, reusable context packs, structured outputs, and prompt libraries.
Email, documents, research, meetings, spreadsheets, presentations, and knowledge management.
Strategy, positioning, brand voice, SEO/AEO, social, ads, email, sales enablement, and analytics.
Workflow mapping, SOPs, no-code automation, support, HR, finance, project delivery, and vendor review.
Image, video, voice, avatars, creative workflows, agents, connectors, safety, and evaluation.
Strategy, policy, governance frameworks, security, change management, ROI, capstone, and recertification.
What AI is, what it can and cannot do, and how modern generative and multimodal tools fit into business workflows.
30 minutes
A practical overview of the current AI ecosystem: chat assistants, research tools, productivity copilots, creative tools, automation platforms, and agents.
30 minutes
Clear delegation through role, task, context, constraints, examples, and output format.
30 minutes
How to provide reusable company, brand, product, audience, and workflow context so AI output becomes more consistent.
30 minutes
Advanced prompting patterns for tables, rubrics, JSON-like outputs, multi-step analysis, critique, and iterative revision.
30 minutes
How to recognize false confidence, unsupported claims, stale information, and weak evidence.
30 minutes
Data classification, approved tools, minimum necessary inputs, and incident response for AI use.
30 minutes
Fairness, transparency, disclosure, bias review, human accountability, and appropriate oversight.
30 minutes
Drafting, improving, summarizing, and reviewing emails and internal messages.
30 minutes
Using AI to outline, draft, revise, summarize, compare, and structure business documents.
30 minutes
Planning research, gathering sources, synthesizing evidence, and avoiding unsupported conclusions.
30 minutes
Using AI to turn meetings into decisions, action items, risks, and follow-ups.
30 minutes
AI-assisted spreadsheet formulas, cleanup, summaries, charts, and business insights.
30 minutes
Turning ideas, notes, and research into persuasive slide stories and speaking notes.
30 minutes
Turning documents, FAQs, SOPs, and institutional knowledge into usable AI-ready systems.
30 minutes
Standardizing prompts, context packs, examples, QA steps, owners, and review dates.
30 minutes
Using AI for market framing, audience research, offer development, campaign angles, funnel planning, and launch calendars.
30 minutes
Developing useful customer personas, pain points, objections, offers, and differentiation.
30 minutes
Turning brand voice into a reusable AI-ready system for consistent copy across channels.
30 minutes
Planning content pillars, calendars, long-form content, short-form content, newsletters, and repurposing workflows.
30 minutes
Using AI for search strategy, topical authority, answer-engine optimization, structured content, schema planning, and human expertise.
30 minutes
Hooks, captions, content calendars, platform adaptation, community replies, and social listening.
30 minutes
Generating ad angles, creative briefs, copy variants, landing page alignment, and test plans.
30 minutes
Newsletter planning, segmentation, nurture sequences, subject lines, CTAs, and lifecycle messaging.
30 minutes
Prospect research, call prep, objection handling, follow-ups, CRM hygiene, proposals, and sales scripts.
30 minutes
Using AI to summarize campaign performance, identify insights, create hypotheses, and recommend next actions.
30 minutes
Mapping triggers, inputs, decisions, tools, outputs, review points, and risks before adding AI or automation.
30 minutes
Using AI to turn tribal knowledge into clear operating procedures, checklists, and training guides.
30 minutes
Using no-code automation tools to connect AI into repeatable workflows safely.
30 minutes
Support drafting, FAQ creation, ticket triage, sentiment analysis, escalation rules, and quality review.
30 minutes
Responsible use of AI for job descriptions, training, onboarding, performance support, and HR communications.
30 minutes
Expense categorization, invoice summaries, budget notes, report drafting, and administrative support.
30 minutes
Scoping, timelines, task breakdowns, risk logs, retrospectives, client updates, and resource planning.
30 minutes
Evaluating AI vendors, pricing, data terms, security, admin controls, integrations, portability, and exit risk.
30 minutes
Creating brand-safe image concepts, campaign visuals, mockups, storyboards, and visual directions.
30 minutes
Inpainting, background changes, object cleanup, scene extension, product scenes, and design workflows.
30 minutes
Planning AI-generated video with scripts, shot lists, camera language, consistency, and post-production review.
30 minutes
Voice generation, voice cloning consent, dubbing, multilingual audio, sound effects, and conversational voice agents.
30 minutes
Using avatar tools for internal training, explainer videos, localization, and consistent presentation.
30 minutes
Using AI to create moodboards, visual territories, art direction, campaign concepts, and creative briefs.
30 minutes
Consent, copyright, likeness, synthetic media, watermarking, disclosure, and approval processes for public media.
30 minutes
Building a repeatable process from brief to prompt pack to production to QA to publishing.
30 minutes
What AI agents are, how they differ from chatbots, and where autonomy creates value and risk.
30 minutes
How AI systems connect to tools, APIs, databases, files, search, workflows, and business systems.
30 minutes
Persistent assistants, memory, messaging integrations, skills, scheduled jobs, and workplace readiness.
30 minutes
Guardrails for tool-using agents: least privilege, approvals, audit logs, sandboxing, failure handling, and emergency shutoff.
30 minutes
Using specialized agents for research, drafting, reviewing, QA, data extraction, and workflow orchestration.
30 minutes
Testing prompts, workflows, agents, and AI outputs using rubrics, test sets, logs, regression checks, and user feedback.
30 minutes
Choosing business goals, priority use cases, owners, metrics, risk appetite, and rollout phases.
30 minutes
Building policies for approved tools, allowed data, prohibited uses, disclosure, review, escalation, and incidents.
30 minutes
Using leading frameworks and privacy principles as practical benchmarks for business AI readiness.
30 minutes
Security risks leaders must understand: prompt injection, sensitive information disclosure, excessive agency, supply chain, connectors, and shadow AI.
30 minutes
Building employee trust, reducing resistance, creating champions, and turning training into daily habits.
30 minutes
Measuring time saved, quality improvement, error reduction, adoption, risk events, and business impact.
30 minutes
A final practical project where learners create an AI readiness plan for a real department or function.
30 minutes
Preparing learners for exams, maintaining credential quality, and refreshing content as AI changes.
30 minutes