How to effectively learn AI Prompting, with the 'AI for Global Heads of Operations (Prompt Course)'?

Run multi-country operations with AI prompts that turn goals into results

Course overview

This course equips Global Heads of Operations and their direct teams with a complete, practical system for using AI and ChatGPT to streamline processes, improve decisions, and boost performance across regions and business units. It brings together a coherent set of prompt-based modules covering workflow optimization, data-driven decision making, market and competitive analysis, risk and crisis planning, supply chain excellence, employee and customer analytics, forecasting, project execution, compliance monitoring, technology integration, and sustainability strategy. Each module builds on the last so you can move from quick wins to scaled adoption-confidently, securely, and measurably.

What you will learn

• How to convert operational goals into clear, structured AI instructions that deliver consistent, audit-ready outputs.
• How to align prompts with your KPIs, policies, and data sources for decisions that are traceable and defensible.
• How to connect insights across functions-supply chain, finance, HR, CX, and PMO-to reduce silos and accelerate action.
• How to set quality standards, evaluation criteria, and review loops so AI output improves over time.
• How to embed AI safely within governance, privacy, and regulatory requirements across multiple countries.
• How to run pilots, measure ROI, and scale prompt libraries across business units without losing control.

How the modules fit together

The course is organized so each area reinforces the others, reflecting how operations leaders actually work:

• Workflow Optimization: Build repeatable prompt workflows to reduce manual effort, shorten cycle times, and surface blockers early.
• Data-Driven Decision Making: Ensure decisions reference the right metrics, scenarios, and trade-offs with clear assumptions and confidence levels.
• Market and Competitive Analysis: Turn signals from markets, competitors, and channels into structured summaries with risks, opportunities, and recommended actions.
• Risk Management and Crisis Planning: Standardize risk identification, rating, mitigation plans, and protocols for cross-border incidents.
• Supply Chain Optimization: Improve demand/supply alignment, lead times, inventory health, and cost-to-serve with prompts that reflect real constraints.
• Employee Performance Analytics: Translate goals and behaviors into fair, data-aware insights and coaching plans that protect privacy.
• Customer Experience Improvement: Systematize voice-of-customer analysis, root cause detection, and action plans across markets.
• Financial Forecasting: Produce scenario-based projections with assumptions, drivers, and sensitivity checks linked to operations levers.
• Competitive Analysis: Compare offerings, pricing, channels, and positioning with structured scorecards and red-team reviews.
• Project Management Efficiency: Generate clear plans, dependencies, risk registers, and retrospectives that keep stakeholders aligned.
• Regulatory Compliance Monitoring: Monitor policies, map controls to requirements, and produce audit-ready summaries per region.
• Technology Integration: Plan integrations, data flows, and permission models so prompts use the right inputs without exposing sensitive information.
• Sustainability Strategy: Translate ESG targets into operational initiatives with measurable baselines and reporting templates.
• Crisis Management: Prepare decision trees, communications, and escalation paths for high-stakes scenarios.

How to use the prompts effectively

You will learn a repeatable method for getting dependable results from AI across departments and geographies:

• Structure your instructions: Define role, goal, data inputs, constraints, output format, and quality criteria. This keeps responses consistent and audit-ready.
• Ground responses in your context: Reference policies, KPIs, regions, product lines, service levels, and capacity limits so outputs reflect your actual operating model.
• Quantify success: Attach scoring rubrics to outputs-accuracy, completeness, compliance, and actionability-so improvements can be tracked.
• Iterate with intention: Use small controlled changes, A/B tests, and error logs to sharpen prompts and reduce rework.
• Localize responsibly: Include language, units, regulatory references, and cultural factors for multi-country use cases.
• Validate and verify: Require citations or data references, add red-team checks for bias, and set human-in-the-loop approval points for high-impact decisions.
• Connect to your tools: Plan how prompts link to dashboards, data warehouses, ticketing, or workflow tools to move from insights to action.
• Protect sensitive information: Define what data can and cannot be used, apply access rules, and document retention practices.

Why this matters for operations leaders

Operations teams sit at the center of cross-functional execution. This course gives you a practical way to coordinate decisions across supply chain, finance, HR, legal, compliance, and customer-facing groups. By standardizing AI-driven analyses and deliverables, you reduce latency between signal and response, cut meeting and reporting overhead, and build a common language for prioritization. The result is fewer surprises, faster follow-through, and clearer accountability.

Measurable outcomes you can expect

• Shorter cycle times in recurring analyses and approvals.
• Higher forecast accuracy and more consistent scenario planning.
• Improved on-time delivery and inventory health with less firefighting.
• Fewer compliance issues and clearer audit trails.
• Higher employee and customer satisfaction through timely, data-backed actions.
• Better alignment between budget, capacity, and demand across regions.

How the course builds capability across your team

While the course is written for Global Heads of Operations, it includes guidance for distributing prompt-based workflows across teams without losing control:

• Role-based templates: Prompts organized for planners, analysts, managers, and executives.
• Approval flows: Clear checkpoints for legal, security, and finance oversight.
• Knowledge capture: Methods to document decision logic so improvements persist beyond individuals.
• Training pathways: Onboarding sequences for regional teams to ensure consistent use and quality.

Governance, ethics, and compliance

Responsible use is integrated throughout. You'll learn how to align prompts with privacy and data residency needs, set retention policies, document limitations, and establish review protocols. The course outlines safeguards for handling personal data, competitive intelligence, and regulated content, plus practices for bias checks and fairness in employee-related analyses.

Scaling from pilots to standard practice

Many teams see early wins and then stall. This course provides a clear path to scale:

• Pilot selection: Choose use cases with clear KPIs and low risk to prove value quickly.
• Operating model: Define who drafts prompts, who approves them, and who measures outcomes.
• Metrics and ROI: Track time saved, error rates, throughput, and financial impact at the use-case level and portfolio level.
• Library management: Keep a versioned repository of prompts with change logs, owners, and retirement criteria.
• Change management: Communicate purpose, train users, and gather feedback in a structured cadence.

How the modules reinforce each other

The modules are intentionally interlinked so insights flow across your operation:

• Market signals inform demand plans, which shape supply decisions and project priorities.
• Risk registers feed crisis playbooks and compliance monitoring, reducing incident response times.
• Customer insights shape product and service adjustments, which in turn influence financial forecasts.
• Employee analytics improve execution quality, helping projects finish on time and under budget.
• Sustainability targets translate into procurement and logistics decisions, tracked in dashboards for reporting.

Who should take this course

• Global Heads of Operations, COOs, and operations strategy leaders.
• Operations excellence, PMO, and transformation leaders.
• Regional operations heads who need consistent, scalable methods.
• Leaders in supply chain, finance, HR, CX, risk, and compliance who collaborate with operations.

What's included

• A cohesive set of prompt-based modules covering core operational domains.
• Implementation guidance for pilots, scaling, and governance.
• Quality frameworks, scoring practices, and review checklists.
• Approaches for localization, data privacy, and secure collaboration.
• Measurement guidance for ROI and performance improvement.

How you will work through the material

The course is structured for quick adoption and steady improvement. You'll move from foundational practices to specialized modules, then to cross-functional orchestration. Exercises guide you to capture your KPIs, policies, and data sources so your team can adapt the material to your operating environment. The sequence supports both immediate wins and durable, enterprise-grade use.

What makes this course practical

• Action-first approach: Each module supports outputs your board, CFO, or regional leaders expect to see.
• Auditability: Prompts and outputs are built to be reviewed, shared, and improved.
• Security-conscious: Clear boundaries for data usage and access controls.
• Scalability: Methods that work for one region and extend cleanly to many.

Results you can bring to your next leadership meeting

• A plan to standardize AI-assisted workflows across key operational processes.
• Clarity on where AI adds value, how you'll measure it, and what controls you'll maintain.
• A roadmap for scaling from a few high-impact use cases to an organization-wide library.
• Confidence that outputs will reflect your goals, constraints, and compliance obligations across regions.

Final note

This course meets operations leaders where they work: coordinating priorities, balancing risks, and delivering reliable outcomes across markets. The modules are designed to help your teams move faster with fewer errors-while keeping quality, compliance, and accountability front and center. If you want AI that serves clear business goals and integrates with the way your organization already operates, this course provides the structure to make that happen.