AI course index · page 9

AI Meeting Notes for Beginners: Save 5 Hours a Week

753 | Kaizen × AI

The page names Otter and ChatGPT for converting transcripts into summaries, actions, owners and dates, then formatting results for Slack, email or reports.

AI Office Productivity: Master the Top AI Tools for Work

Damini Singh

• AI email, meeting and document examples
• Source-based research and summaries
• Presentation and visual tools
• Choosing tools for office tasks

AI Over 50: Build AI Skills That Do Your Recurring Work

Brett Bouchard

A workshop to turn one recurring task into a reusable AI skill, with a Decision Brief and a quality check.

AI Policy Essentials

AI CERTs

Study AI policy and governance through regulatory, ethical, data-governance and risk-management scenarios with module assessments.

AI Powered Data & Analytics Specialization

SkillsBooster Academy

Three-course SkillsBooster path combines AI business analysis, reporting/presentation design and Copilot data analysis with reusable workflows.

AI Presentation Generation: Comprehensive Guide

SkillsBooster Academy

Gamma-based presentation training covers prompt-generated slides and visuals, branding, collaboration, export and a complete presentation project.

AI Presentations & Public Speaking

SkillsBooster Academy

Turn briefs/notes/data into audience-focused story/presentation; prepare speaker notes, rehearse and handle Q&A.

AI Productivity & Prompt Engineering Masterclass

Amfa Consulting

Apply prompt principles, customized assistants and professional-task examples with responsible-use instruction.

AI Productivity for Administrative and Executive Assistants Training

Trainingcred

• AI for email/doc drafting, inbox, meeting materials, summaries and follow-through.
• Calendar/scheduling and task prioritization
• workflow mapping/automation and reusable prompts.
• Confidentiality, bias awareness, approval steps and quality controls for AI outputs.
• Course overview describes hands-on executive-support scenarios
• full module syllabus not visible in bounded page read.

AI Productivity Masterclass: From Prompts to Verified Work

Engr. Ziyad Alghamdi

Course uses verification steps, evidence/source research, email and meeting records, analysis, memos, privacy checks, permissions/escalations and an AI adoption plan.

AI Productivity with Microsoft Copilot

IEM Learning

• Copilot chat, files and voice
• PDF/Word summaries and Copilot Pages
• Edge webpage assistance
• Responsible prompting and planning

AI Project Governance Framework Foundation & Practitioner

ILX Group

• AIPGF principles, values, behaviours, roles and lifecycle
• ethical/legal AI risk, bias, transparency, accountability and explainability
• integrate governance into existing processes
• practitioner tailoring by project complexity/risk and maturity
• use the Capability Maturity Model
• manage resistance and human-AI collaboration.

AI Project Leadership: Definition to Delivery

Coursera and University of Illinois Urbana-Champaign

Six-course lifecycle path: problem definition, feasibility/data readiness, scope/WBS, requirements, delivery and quality; component work addresses time/budget/compliance.

AI Project Management

Al Manhal Institute, United Arab Emirates

The outline distinguishes AI projects from traditional work and covers vision, objectives, stakeholders, scope and resources, timelines, delivery methods, technical tools and data sources, testing and evaluation, multidisciplinary team coordination, KPIs, model/data quality, legal and ethical risks, delivery reporting, lessons learned and scaling plans.

AI Project Management & Governance

AIKm

Five three-hour hands-on modules: select/scope, hybrid delivery/business case, AI risk, governance/HK PDPO and policy/adoption roadmap workshop.

AI Project Management 2026: Complete Google Gemini Edition

Silviu Marisca

Gemini prompts for WBS/task lists, risk scenarios, resource reallocation, budget/status and executive communication; NotebookLM technical-document analysis.

AI Project Management skills - Scrum Master+AI+ChatGPT+Jira

Packt

AI-assisted product goals, backlog items and acceptance criteria, sprint planning and retrospectives, with Jira/Confluence meeting integration.

AI Project Management Training Course

Sharma Management International (SMI), Malaysia

The provider outline includes AI fundamentals and project cases, identifying AI opportunities, predictive scheduling and forecasting, risk and issue tracking, resource allocation, dashboards, governance, privacy, change management and a digital PM roadmap.

AI Project Management: Using AI Tools Across the Project Lifecycle

CoreConcept Training Centre

• Lifecycle readiness and data classification
• prompts for charters/scope/WBS, activities/dependencies and three-point estimates
• risk triggers and early warnings
• status/meeting automation
• capacity planning
• privacy and human-review checkpoints. Day-five labs build a charter/WBS/estimate, risk register/early-warning report, tested prompt library, team AI policy and a PM playbook.

AI PROMPT ENGINEERING: Generative AI + ChatGPT

Paul Ashun

Use ChatGPT for stand-up feedback analysis, tabular data interpretation and recurring scheduled tasks.