What You Need to Know Before
You Start
Starts 22 June 2025 10:30
Ends 22 June 2025
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4 hours 59 minutes
Optional upgrade avallable
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Paid Course
Optional upgrade avallable
Overview
Ready to future-proof your leadership? Generative AI drives bold innovation, sharpens day-to-day processes, and boosts customer satisfaction, all while freeing up precious resources.
This course is designed to teach you how to use AI tools to make better decisions, speed up product development, and lead your teams confidently into the AI era.
Syllabus
- Introduction to Generative AI
- Leveraging AI for Decision-Making
- Accelerating Product Development with AI
- Enhancing Operational Efficiency
- Boosting Customer Satisfaction with AI
- Strategic Resource Management
- Leading Teams in the AI Era
- Ethical and Responsible Use of AI
- AI Implementation Roadmap
- Future Trends and Innovations
- Course Wrap-Up
Overview and definition of Generative AI
Key technologies and trends
The impact of AI on business and leadership
AI tools for data analysis and insight generation
Case studies: AI-driven decision-making in business
Best practices for integrating AI into decision processes
AI in research and development
Tools for prototyping and testing
Examples of accelerated innovation using AI
Automating routine tasks with AI
AI tools for project management and execution
Workflow optimization through AI
Personalization and customer experience
AI-powered customer service and support solutions
Building long-term customer relationships with AI insights
Balancing human and AI resources
Cost-efficiency and scalability with AI
Planning for AI integration across departments
Cultivating an AI-ready organizational culture
Managing change and overcoming resistance
Skills and roles in an AI-driven workforce
Understanding AI ethics and regulations
Mitigating bias and ensuring transparency
Building trust with stakeholders through responsible AI use
Steps to develop an AI strategy
Identifying and prioritizing AI initiatives
Measuring and communicating AI impact
Emerging technologies in AI
Preparing for future disruptions
Continuous learning and adaptation in AI
Recap of key learnings
Resources for continued AI education
Action plan for implementing generative AI in leadership
Taught by
Anton Voroniuk
Subjects
Computer Science