Overview
In this 2 hr course, explore how to design and implement scalable Generative AI (GenAI) systems. Learn advanced architectures, security measures, and cloud-native strategies with practical examples and in-depth explanations to prepare for modern AI application demands.
What I will be able to do after this course
- Design and deploy scalable GenAI systems that leverage state-of-the-art architecture techniques.
- Implement cloud-native solutions with microservices, incorporating resiliency and scalability.
- Apply security and ethical considerations to safeguard and responsibly manage AI infrastructures.
- Optimize infrastructure and performance for cost-efficiency and high availability in GenAI applications.
- Gain practical experience through simulations and real-world applications of GenAI technology.
Course Instructor(s)
Paulo Dichone is an experienced educator and software engineer specializing in AI and scalable architectures. With years of teaching on technical topics, Paulo approaches education with a focus on clarity and hands-on learning, ensuring students acquire both the theoretical knowledge and the practical skills to succeed.
Who is it for?
This course is ideal for AI practitioners, software developers, and architects with foundational knowledge of AI and cloud computing. If you're looking to deepen your expertise in scalable Generative AI systems or implement resilient, production-ready architectures, this course is for you.
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