This course provides a high-level introduction to artificial intelligence, focusing on its foundations, real-world applications, and the opportunities and challenges it presents across industries.

In this course, you’ll explore what AI is, its relationship to machine learning and deep learning, and how it is applied in everyday life. The course explores the role of datasets and training data in AI, introduces fundamental AI algorithms, and explains what Generative AI is—how it differs from Purpose-Built AI, and which of the two approaches is better suited for enterprise settings. It also examines the key components of generative AI models.
The course also addresses broader topics such as the ethics of AI, regulatory considerations, and emerging trends shaping the future of technology.

Course duration: 5-7 hours*
Access duration: 365 days

*Please note that the time required to complete this course may vary depending on your background, learning style, and personal learning goals.

This course is designed for learners seeking a comprehensive overview of AI concepts, applications, and implications, without requiring prior technical expertise.

1. Equipment required for course participation:
  • Laptop or desktop computer capable of running a modern web browser
  • Internet connection and internet browser
  • Headset or speakers
  • Computer mouse
2. Software required for course participation:
  • None beyond access to ABBYY University’s learning platform

ABBYY University Community
We highly encourage you to use the ABBYY University Support Community.
You may use it:
  • to ask questions related to your learning experience.
  • to provide feedback on the course—what you found helpful or what could be improved.
  • to start or join discussions on AI concepts or applications you would like to explore further.
Engage with peers, share insights, and deepen your understanding. Some of the most valuable learning happens when knowledge is shared.
Lessons
1. Understanding Basic AI Concepts
2. AI Utilization and Use Cases
3. Data in AI Model Creation
4. Introduction to the Most Common AI Algorithms
5. Generative AI & Purpose-Built Intelligence
6. Responsible AI & Ethical Considerations
7. Shaping the Future with AI
8. Survey
  • Duration :
  • Language : English
  • Format : Elearning
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