Was Sie vorher wissen sollten
bevor Sie beginnen
Beginnt 4 June 2026 08:10
Endet 4 June 2026
00
Tage
00
Stunden
00
Minuten
00
Sekunden
10 hours
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Paid Course
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Übersicht
Discover how to drive innovation, enhance customer experiences, and optimize operations by aligning AI with your company’s goals. Learn practical insights on AI capabilities, limitations, ethical use, and strategic implementation.
Lehrplan
- Introduction to Generative AI
- How to Think about Generative AI from a Business Perspective
- Launching Generative AI for your Business
- Ensuring You Have the Right Human Capital for GenAI Adoption
- Process to Ready the Business for Generative AI
- Platforms to Ready the Business for Generative AI
- Optional: "Generative AI: Savior or Saboteur of the Digital Workforce?"
- Build a Generative AI Strategy and Project Roadmap
This lesson provides the foundational knowledge needed about generative AI. From contextualizing GenAI within AI, to the processes and models used in GenAI systems, and finally use cases and benefits.
In this lesson, you'll learn how to put GenAI into practice. You'll identify business areas that could be improved, create a roadmap for GenAI projects, and identify the core components necessary.
Having the right people is essential to bringing GenAI to your business. This lesson will discuss key stakeholders, necessary roles and responsibilities, and organizational models that can be used.
This lesson will discuss key elements of a GenAI strategy, responsible AI, risk assessments for GenAI projects, and the development process and management of GenAI projects.
This lesson will cover the AI and ML architectures that supports GenAI solutions, the specific needs of GenAI projects, the significance of data, along with various partners for each step.
Webinar Recording of instructor Ed Wiley and Udacity Founder Sebastian Thrun, "Generative AI: Savior or Saboteur of the Digital Workforce"
Now that you have completed all of the course material, it's time to put it all together in the project!
Unterrichtet von
Ed Wiley and Brad Nemer
Fachgebiete
Computer Science