ChatGPT Generative AI For Business Leaders | Gen AI Primer Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This concise, executive-level course is designed for business leaders to understand and strategically leverage Generative AI in their organizations. Over approximately 4.5 hours of focused content, participants will gain a clear understanding of GenAI fundamentals, real-world applications, implementation strategy, tool evaluation, change management, and ethical governance. Each module is structured to deliver actionable insights with minimal technical jargon, enabling leaders to drive AI transformation confidently.
Module 1: Introduction to Generative AI for Business
Estimated time: 0.5 hours
- Overview of Generative AI and how it differs from traditional AI
- Understanding the business benefits of GenAI
- Industry-specific use cases and early adopter examples
- Key drivers behind the current GenAI revolution
Module 2: Strategic Use Cases of GenAI
Estimated time: 0.75 hours
- Applying GenAI in marketing and customer engagement
- Transforming customer service with AI-driven support
- Enhancing HR processes such as recruitment and training
- Accelerating R&D and product development with AI
Module 3: GenAI Implementation Framework
Estimated time: 1 hour
- Steps to identify high-impact GenAI opportunities
- Planning and launching AI initiatives effectively
- Estimating ROI and aligning stakeholders
- Conducting risk analysis and setting success metrics
Module 4: Evaluating GenAI Tools & Platforms
Estimated time: 1 hour
- Criteria for selecting GenAI tools and vendors
- Comparing leading platforms: OpenAI, Google Vertex AI, AWS Bedrock
- Evaluating scalability, integration, and security
- Understanding API access, pricing, and vendor lock-in risks
Module 5: Organizational Readiness & Change Management
Estimated time: 0.75 hours
- Building internal AI literacy across teams
- Fostering cross-functional collaboration for AI projects
- Managing resistance and driving team adoption
- Developing leadership communication strategies for AI transformation
Module 6: AI Ethics, Privacy & Governance
Estimated time: 0.5 hours
- Addressing ethical risks and algorithmic bias
- Ensuring compliance with GDPR, HIPAA, and other regulations
- Implementing governance frameworks for responsible AI
- Establishing oversight and audit practices
Prerequisites
- Familiarity with basic business strategy concepts
- Experience in leadership or decision-making roles preferred
- No technical background required
What You'll Be Able to Do After
- Understand the core principles and business value of Generative AI
- Identify strategic opportunities for GenAI across departments
- Develop a roadmap for responsible and effective AI integration
- Evaluate AI tools and vendors based on organizational needs
- Lead AI initiatives with awareness of ethical, legal, and operational implications