AI Innovation & Entrepreneurship
By completing the AI Innovation & Entrepreneurship Specialization, learners gain practical skills in strategic AI applications, product innovation, and business process modeling.They are equipped to lead AI-driven transformation and scale innovation across industries using cost-effective, non-technical tools.
Intermediate
Business
16 hours
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Overview
In a world where AI transforms how businesses operate, the AI Innovation & Entrepreneurship Specialization empowers entrepreneurs, product leaders, and innovation managers to integrate cost-effective AI tools into scalable strategies. With a non-technical, hands-on approach, learners gain the skills to identify high-impact AI use cases, design and implement strategic AI solutions, and lead change using tools like ChatGPT, business process models, and AI agents.This three-course program focuses on real-world application and innovation: from building entrepreneurial AI strategies to using AI for product development and business process modeling. Learners leave with the ability to prototype and scale AI initiatives, improve productivity, and transform their organizations. No prior technical background is needed—just curiosity, ambition, and a desire to lead in the AI economy.
Skills you'll gain
AI InnovationEntrepreneurship
What you'll learn
- Design cost-effective AI strategies for startups and SMEs.
- Use ChatGPT to enhance product research and workflows.
- Model and automate processes using AI tools.
- Apply AI innovation across real business scenarios.
Who Should Attend
The AI Innovation & Entrepreneurship Specialization empowers entrepreneurs and innovation leaders to integrate AI tools into scalable strategies. With a hands-on, non-technical approach, learners develop skills to identify AI opportunities, design solutions, and lead transformation using tools like ChatGPT and AI agents.
Program
Explore the comprehensive, hands-on program designed to build your expertise in everything from business functions.
*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
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