AI Training for Everyday Staff Workflows

AI Meeting Notes for Beginners: Save 5 Hours a Week

• Measure the starting calendar and writing time
• Set up recording, improve capture, turn transcripts into summaries and name-task-date action lists, format email/Slack follow-ups, and remeasure time across four meetings.

AI in Procurement: Work Smarter, Source Better, Win Faster

Use Persona–Action–Context–Template prompts and compare weak/structured results. Draft facility-management RFP and IT RFQ, score three suppliers on five weighted dimensions, review a liability clause, stress-test negotiation positions, consolidate seven spend categories and produce a savings brief.

AI Portfolio Governance

• Define portfolio roles, forums and escalation
• Translate principles into policies, risk tiers and vendor decisions. Coordinate legal, security and business risk, handle exceptions and acceptance, record incidents and dashboard metrics, then assess gaps and plan improvements.

Generative AI for Educators: Mastering the AI-Powered Class

Convert a standard into a unit, draft grading communications and newsletters, create differentiated text versions and examine a school AI-adoption case before ethical implementation.

Critical Thinking with AI: Fact-Check Before You Send

Catch consequential draft lines, trace each to its source, test meaning, dates, scope, units and numbers, then correct, qualify, remove or hold it for the owner and recheck rewrites. The consultancy case contrasts a reply target with a guarantee and 20% to 16.2% with percentage-point wording.

Prepare Your Sources for AI: ChatGPT, Claude and Gemini

• Inventory governing file versions, dates, owners and gaps
• Spot-check PDF conversion, transcript speakers/numbers, filtered rows and slide notes. Separate source-use instructions from evidence, build an answer/locator key, run dated tool tests, record unsupported citations and repair unreadable CSV before retesting.

AI Fluency - Data Privacy

• Distinguish data collection, grounding and model training
• Identify personal data and protective choices. Review consumer privacy rules, classification and DLP, then examine organizational tools and policies through a sample privacy-policy review.

Responsible AI Use: Data Handling

• Start with the limits of financial AI outputs and verification of numerical claims. Classify data and tools using a traffic-light risk scheme
• Check before prompting. Analyze Deloitte, Arup, Samsung and Apple Card cases
• Manage bias, attacks, overrides and disclosures. Finish with pre-use and post-use controls and an assessment.

IA pour les marchés publics

• After confidentiality and regulatory considerations, learners use generative AI to extract and summarise consultation-document requirements. They draft tailored technical, administrative and financial responses to a fictional DCE, then evaluate and improve the response. The course targets suppliers, not public buyers selecting vendors
• Assessment is advertised without a named external credential.

Advanced Supplier Quality, Risk, and Process Improvement

• Six modules progress from contract review and clause checklists to spend/SLA variance, probability-impact risk analysis, root causes and corrective actions. The GenAI component reviews clauses and performance with validation. A final project combines document and spreadsheet evidence
• Intermediate procurement knowledge is relevant.

Strategic Sourcing and Prioritization

• Six modules develop a sourcing plan: market and supplier discovery, RFI comparison, weighted evaluation, cost/value prioritization and stakeholder decisions. A focused GenAI unit applies prompts to public supplier research and a pressure scenario. The final sourcing project integrates the wider procurement curriculum
• Most instruction is not AI-specific.

Edit AI Writing: Clarity, Accuracy, Voice & Fact-Checking

• Prioritize consequential dates, numbers, quotations and recommendations
• Isolate and corroborate claims in context. Compare revisions for changes in certainty, ownership, scope and timing, then organize audience action and restore voice before release or further revision.

AI Agent Workflows for Administrative Professionals

• Map a recurring process and assess automation risk
• Design triggers, branches, approval/stop gates. Apply document/email/meeting/research flows with least-privilege controls, traceability and exception recovery. Test prototypes or platform-neutral canvases, measure baseline/quality/rework and draft a phased pilot plan.

Artificial Intelligence for Internal Audit and Assurance

• Refine a risk universe, plan engagement questions/programmes, compare documents and controls with evidence traceability, examine anomalies and draft structured findings/reports. Parallel assurance work scopes organisational AI governance/vendors. Simulations test generated outputs against evidence and professional standards
• Create protocols, checklists and roadmap.

Artificial Intelligence in Financial Management

• Prepare/validate finance data and account mappings
• Develop budget/forecast drivers and scenarios
• Interpret ratios/variances and build monthly narrative reporting. Review cash flow, anomalies, reconciliation and approvals. Guided finance datasets/scenarios produce budget templates, commentary, workflow controls and adoption roadmap.

AI-Powered NVivo Coding: Master Braun & Clarke Approach

• Prepare transcripts and manually inspect a subset
• Constrain AI coding through role, task, data and instructions. Review, accept, reject or merge candidate codes, import nodes into NVivo, then search, review, define and report Braun–Clarke themes with participant quotations.

Generative AI in User Research and Design Thinking

• Three modules use research gaps, document and competitor review, interview guides, affinity grouping and journey mapping to support design decisions. FigJam and GPT demonstrations/labs are named. No programming is stated
• Nonprofit adaptation concerns service discovery rather than product engineering.

KI Line für strategische Einkäufer: innen

Refine requirements and RFQs, build bid comparisons, evaluate source-confidence supplier risk, check spend outliers, extract commercial contract obligations and legal handoffs, prepare negotiations and follow-ups, then finalise a playbook and30-day team pilot plan. Each module combines demo, exercise, artifact, guardrail and transfer task.

Procurement Negotiation Strategies with AI

Align an internal mandate and multivariable concessions, recognize urgency/authority tactics, and structure opening, anchors and close. Apply market intelligence, supplier profiling, scenario modeling, script generation and debrief in sequence, then track execution/reflection over 30 days.

Governing AI Platforms and Vendors

• Compare proprietary, open and hybrid AI options
• Examine security, privacy, contractual licensing, updates and dependencies. Assign procurement oversight, registration, owners and checkpoints before changing, reusing or retiring a service.

Generative AI for Colleagues

Capture meeting notes, turn video transcripts into actions, convert decisions into Asana tasks and timelines, prepare handoffs and report status, blockers and problems.

Survey Design with ChatGPT 2026

Turn a school graduation ice-cream decision into a SMART objective and themes. Prioritize general-to-specific items, select open/closed scales, remove double-barrel wording, refine ChatGPT drafts, build Google Forms age/grade buckets and branching, then pilot the survey.

AI Fluency for Trades Educators: Using Generative AI and Microsoft Copilot in Apprenticeship Training by Microsoft and NABTU

• Microsoft and NABTU introduce responsible AI for trades educators, then show summarization, teaching materials, communication, outlines, outreach and translation. Public lessons appear accessible
• The certificate banner still distinguishes signed-in completion. Original audience is apprenticeship education.

AI Procurement: How to Evaluate and Adopt AI Vendors and Solutions

• Set procurement baselines and evaluate AI vendors against capability, data, security, stability and ownership risks. A public recruitment example considers hiring speed, candidate experience, maintenance costs and rights impacts. Contract, monitoring and proof-of-concept decisions follow
• The worked vendor is an example, not a recommended provider.

AI-Powered Data Analysis: Beyond Prompting

Frame an analytical question and brief, compare weak and precise prompting, iterate and challenge results, and prepare decision-focused conclusions. A misleading CFO memo example makes context and causal interpretation consequential. One exercise file supports the workflow.

AI-Powered Exploratory Data Analysis (EDA) with Julius AI

• Import data into Julius, define questions, examine quality and outliers, explore patterns, chart findings and summarize conclusions. Three exercise files support the exploratory-data workflow
• Validating sensitive program data remains the nonprofit adaptation.

Beyond the Basics: Designing AI Enhanced Learning Experiences

Create an AI learning-design team, investigate learners through surveys, interpret findings, align objectives and develop outlines, activities, rubrics and feedback. HIRE is instantiated through design tasks, not counted solely as a framework name.

Boosting Your Negotiation Skills with Generative AI

• Develop negotiation goals and value options, examine trust and conflicts, and prepare AI-supported practice. The course explicitly offers an AI-powered role-play. Real counterpart data should be minimized and human judgment retained
• Role-play availability is not an independent outcome guarantee.

Communicating with Diplomacy and Discernment

• Decode and encode messages, regulate tone, and handle email, chat, calls and feedback diplomatically. An AI rehearsal section and explicit AI-powered role-play supplement the wider communication curriculum
• The whole course is not predominantly AI.

Copilot in OneNote: Smarter Note-Taking with AI

• Use OneNote Copilot to summarize notes, derive to-do items, draft a project plan and gather research notes. The subscription lesson is a consequential dependency
• The twelve-minute runtime is video instruction rather than overall practice time.