Ai For Leaders by Steve Ballinger

Turn AI into Action and Lead with Confidence: Practical Insights for Today’s Business Leaders. A guide for leading AI

What you'll learn

Understand Core AI Concepts Without Technical Jargon

Identify and Prioritize High-Impact AI Opportunities

Develop an AI Strategy Aligned with Organizational Goals

Lead AI Projects with Confidence and Clarity

Implement Responsible AI Governance and Ethical Oversight

Prepare for the Future of Work and AI-Driven Leadership

Requirements

No prerequisites other than the desire to lead in the AI Age!

Description

Lead with Confidence in the AI AgeArtificial Intelligence is transforming every industry—from marketing and operations to HR and finance. But it’s not just a tech trend. It’s a leadership imperative.This course is your complete, non-technical guide to understanding AI, leading responsibly, and driving strategic value in your organization. Whether you're a senior executive, team leader, or aspiring manager, you’ll gain the tools to make smarter decisions, guide your team through change, and turn AI into a business advantage.What You’ll LearnHow AI works in business (without the jargon)How to identify and prioritize high-impact AI use casesHow to build an AI-ready organization and cultureHow to lead AI projects, even without a technical backgroundHow to navigate ethical, legal, and governance challengesHow to prepare for the future of AI-powered workWhy This Course?Real-world examples and use cases across departmentsPractical frameworks you can apply immediatelyEthics and governance built-in from the startFuture-ready mindset to guide transformation, not just react to itCourse CurriculumWelcome and FoundationsWhat You’ll Learn in This CourseWhy AI Matters for Business Leaders TodayUnderstanding AI Without the JargonWhat Is AI, Really? (In Plain English)Machine Learning, Generative AI, NLP: What You Need to KnowKey AI Tools and Technologies in BusinessReal-World Business Use CasesAI in Marketing: Personalization, Targeting, and ContentAI in Operations: Forecasting, Automation, and EfficiencyAI in HR and Talent: Recruiting, Engagement, and ProductivityAI in Finance: Risk Analysis, Fraud Detection, and InsightsAI in Customer Service: Chatbots, Support, and Sentiment AnalysisBuilding an AI StrategyIdentifying the Right AI OpportunitiesAssessing Organizational ReadinessCreating a Roadmap for AI AdoptionHow to Build an AI-Ready CultureLeading AI Projects (Without Coding)Working with AI Vendors and Internal TeamsSetting Goals, Milestones, and KPIsCommon Pitfalls and How to Avoid ThemCase Study: Leading a Successful AI PilotEthics, Risk, and GovernanceBias, Transparency, and Fairness in AIRegulatory and Legal ConsiderationsCreating AI Governance StructuresHow to Ensure Responsible AI UseFuture-Proofing Your LeadershipHow AI Will Change Leadership and ManagementUpskilling for the AI AgeAI and the Future of Work: What to ExpectStaying Ahead: Trends to WatchFinal Thoughts and Next StepsRecap and Key TakeawaysNext Steps to Bring AI into Your OrganizationFinal Action PlanCourse Wrap-Up and Thank YouWho This Course Is ForBusiness leaders ready to make informed decisions about AIExecutives responsible for transformation, innovation, or strategyTeam managers who want to guide their staff through digital changeHR, finance, operations, and marketing leaders seeking AI literacyConsultants, entrepreneurs, and board members wanting AI insightTake the Lead in the Age of AIAI is no longer optional. The organizations—and leaders—who thrive will be those who embrace the technology with responsibility, clarity, and confidence.Enroll now and become the kind of leader who not only adapts to the future—but shapes it.Understand Core AI Concepts Without Technical JargonGain a clear, non-technical understanding of AI, including machine learning, natural language processing, and generative AI, and how these technologies apply to business challenges.Identify and Prioritize High-Impact AI OpportunitiesLearn how to recognize where AI can drive the most value in your organization and how to evaluate potential use cases for feasibility, ROI, and alignment with business goals.Develop an AI Strategy Aligned with Organizational GoalsBuild a practical roadmap for AI adoption—including data readiness, stakeholder alignment, and cultural transformation—tailored to your company’s vision and capabilities.Lead AI Projects with Confidence and ClarityMaster the principles of leading AI initiatives, including setting KPIs, collaborating with technical and non-technical teams, and avoiding common project pitfalls.Implement Responsible AI Governance and Ethical OversightUnderstand how to address bias, ensure transparency, and build governance structures that support ethical and legally compliant AI use.Prepare for the Future of Work and AI-Driven LeadershipAnticipate how AI will reshape jobs, teams, and leadership roles—and develop the skills, mindset, and strategies needed to lead effectively in an AI-powered future.

Overview

Section 1: Introduction

Lecture 1 Leading The AI Revolution

Lecture 2 Understanding AI Without the Jargon

Lecture 3 Building an AI Strategy

Lecture 4 Leading AI Projects

Lecture 5 Ethics and Governance Considerations

Lecture 6 Future-Proofing Your Leadership

Lecture 7 Real-World Business Use Cases

Lecture 8 Final Thoughts and Next Steps

Business leaders ready to make informed decisions about AI,Executives responsible for transformation, innovation, or strategy,Team managers who want to guide their staff through digital change,Consultants, entrepreneurs, and board members wanting AI insight