GenAI and Predictive AI Architecture Foundations course. This course will help you gain a clear understanding of how AI solutions actually work, from basic architectures to system components and the architectural differences between generative and predictive AI systems. Explore and explain, in plain language, the fundamental building blocks and main moving parts behind contemporary AI solution environments with best-selling author and LinkedIn personality Thomas Earle. This course provides real-world insight into how AI systems work in the real world and is essential for professionals already working with application and enterprise architectures, as well as professionals in the fields of AI and data science. In this course, the complex concepts of artificial intelligence are explained in a simple and understandable language. By completing this course, participants will be able to analyze and design artificial intelligence systems. Also, they can use this knowledge to improve the performance of existing systems and develop new systems.

What you will learn:

• Deep understanding of the basic architectures of artificial intelligence systems
• Getting to know the different components of artificial intelligence systems
• Differences between generative and predictive AI systems
• Knowing the basic building blocks of artificial intelligence
• Practical insight into the performance of AI systems in the real world

This course is suitable for people who:

• They work in the field of functional and organizational architectures.
• They are working in the field of artificial intelligence and data science.
• Seeking a deep understanding of how artificial intelligence systems work.
• They want to learn the basic concepts of artificial intelligence.