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In this video you will learn:
• What is an inference engine, how it works and why it is essential in AI systems.
• The role and functionality of adversarial models and adversarial neural networks.
• How Generative Adversarial Networks (GAN) Improve AI Trustworthiness.
• Best practices for designing AI systems and aligning technology with business goals.
• The importance of an AI architect in orchestrating successful AI projects.
This discussion is perfect for aspiring AI architects and anyone interested in the technical and strategic aspects of AI architecture. Get insights on the latest trends and best practices in the field from industry experts.
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At Go Cloud Architects and Go Cloud Careers, we strive to help you become the best and change your life! Whether it's a Solutions Architect, Cloud Architect, AI Architect, Enterprise Architect or any other career, we would love to help you achieve your goals.
Content for you!
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At Go Cloud Careers and Go Cloud Architects, we strive to help you be the best in your dream cloud career.
Not only do we explain the difference between a cloud architect and a cloud engineer, but we answer your questions to help you learn how to become a cloud architect or how to start a career in cloud computing. Ever wanted to know exactly what a cloud architect is or what cloud computing is, then this session is for you. You are wondering whether you should focus on AWS cloud computing or Azure cloud computing, come ask us. To learn more about our Cloud Architect course, ask us.
Every day we talk with people looking to grow their careers as cloud architects. Unfortunately, many people are confused by the different job roles in cloud computing, such as the difference between a cloud architect and a cloud engineer. This makes it difficult to create your cloud architect career development program, which is necessary to get the right professional training in cloud computing.
Our goal at Go Cloud Careers is to help as many people as possible find their path to cloud hiring so they can succeed as quickly as possible!
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00:00 – Introduction
01:05 – What are inference engines
04:44 – Best practices and guidelines
08:47 – Architecture vs engineering
1:31 p.m. – Conflicting models and systems
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