Course Overview
This course provides a practical, non-technical approach to artificial intelligence (AI) for managers, business leaders, entrepreneurs, and professionals. It covers how AI is transforming management, business operations, and decision-making, and teaches how to identify valuable AI opportunities, use data and AI to support decisions, improve processes, and evaluate automation. The course also addresses AI risks, ethics, governance, accountability, human oversight, investment evaluation, and managing organizational change related to AI adoption.
Participants will develop skills to lead AI-driven transformation, build an AI-ready organization, and create a 90-day AI implementation plan. No programming or technical AI background is required.
Key Takeaways
- Understand how AI transforms management and business operations.
- Identify business processes where AI can add measurable value.
- Use business data, KPIs, and AI insights for better decision-making.
- Evaluate when to automate, assist with AI, or keep human control.
- Assess strategic, operational, compliance, and ethical risks of AI adoption.
- Apply responsible AI principles including transparency, explainability, accountability, governance, and human oversight.
- Evaluate AI investments using costs, benefits, ROI, payback, and business-case analysis.
- Lead employees through AI-driven organizational change and address workforce concerns.
- Develop governance, ownership, and implementation strategies for AI readiness.
- Create a practical 90-day AI implementation and leadership action plan.
Prerequisites
- Basic understanding of business or management concepts.
- Interest in using AI.
- Willingness to think critically about AI opportunities.
- No programming, data science, or technical AI experience required.
Target Learners
- Managers and team leaders who want to use AI.
- Business leaders and executives responsible for strategy, transformation, and organizational performance.
- Entrepreneurs and business owners exploring practical AI opportunities.
- Project, operations, and process managers interested in AI-driven improvement and automation.
- Finance, HR, sales, and other functional managers seeking better AI-supported decisions.
- Professionals involved in digital transformation, risk, governance, or change management.
- Aspiring managers developing future-focused leadership and AI management skills.
- Non-technical professionals wanting practical business and management AI understanding.
Welcome to AI for Managers & Business Leaders 2:59
Why Every Manager Needs to Understand AI Now 2:58
What AI Can—and Cannot—Do for a Manager 3:08
Your Journey Through This Course 3:00
Tutor Introduction 1:11
AI Through a Manager's Eyes 1:53
Why AI Is No Longer Optional in Business 4:33
Understanding Practical AI Tools for Daily Operations 4:22
How to Identify Areas in Your Company That Need AI 4:15
The AI Manager: What Changes in Your Role? 2:41
Let's Communicate Together! 1:37
Turning Information into Decisions 1:59
Understanding Business Data Without Being Technical 3:02
Data Quality and Trust 2:30
KPIs, Metrics, and Performance Measurement 3:56
Reading Dashboards Like a Manager 2:04
AI for Business Decision-Making and Strategic Planning 3:56
Where AI Creates Business Value 2:05
AI in Operations and Process Automation 4:07
AI in Recruitment and Talent Acquisition 5:02
AI for Employee Training and Workplace Learning 4:00
AI for Sales Forecasting and Customer Insights 4:15
Don't Automate the Wrong Process 2:05
Understanding Business Process Reengineering 3:02
Identifying Process Bottlenecks 3:47
The AI Opportunity Matrix 3:01
Human or AI? Deciding Who Should Make the Decision 2:41
AI for Managers: Foundations and Business Applications
AI Opportunity Comes With Risk 2:01
Understanding the Nature of Risk 2:11
Strategic Risk 7:17
Compliance Risk 5:15
Operational Risk 4:40
AI Opportunities and Risks in Business 3:33
Managers Are Accountable for AI 2:05
Ethics in AI Management 2:04
Transparency and Explainability 1:16
Accountability and Responsibility 1:19
Governance Framework for AI 1:50
Roles and Responsibilities in AI Management 1:13
Creating a One-Page AI Policy for Your Team 1:54
Is the AI Investment Worth It? 1:56
Forming the Business Case 7:06
Understanding AI Costs and Benefits 2:22
AI ROI and Payback Period 2:26
Build, Buy, Subscribe—or Don't Automate? 2:12
Presenting the AI Business Case to Senior Management 2:20
Executive AI Investment Meeting: Approve, Revise or Reject?
AI Transformation Is About People 1:55
Creating an AI Adoption Culture Inside Organizations 5:54
How to Have Smooth Implementation of Change? 3:31
Managing Resistance to Change 7:19
When Employees Fear AI Will Replace Them 2:29
Keeping Humans in the Loop 2:25
Moving From AI Experiments to Organizational Capability 1:54
Governance, Ownership and Accountability 3:33
Change Management and Technology Adoption 1:43
Integrating AI Management Into Corporate Governance 1:21
The Manager's 90-Day AI Implementation Plan 2:26
AI for Managers: Risk, Governance and Implementation
Access Files No pi required.
Free Course files 1 file package
- Full Pack
Discussions are closed
Comments are currently disabled for this course.
