Generative AI for Cloud Solutions
Architect modern AI LLMs in secure, scalable, and ethical cloud environments
Created by Paul Singh, Anurag Karuparti
Explore how generative AI and large language models like ChatGPT can be securely and efficiently deployed in cloud environments. Learn to combine the strengths of cloud computing with advanced AI techniques to build scalable, ethical, and practical solutions for real-world needs.
Packt | Apr 2024 | 300 min
What You Will Learn
You will start by understanding the core concepts of generative AI and cloud computing, then move on to practical strategies for scaling and securing AI systems. Through hands-on examples and real-world scenarios, you'll learn to customize large language models and implement best practices for responsible AI. By the end, you'll have the confidence to architect and manage cloud-based AI solutions.
Key Features
- Design and deploy secure, scalable AI applications using cloud platforms
- Apply fine-tuning, prompt engineering, and responsible AI practices to LLMs
- Gain practical experience with frameworks and tools for building conversational AI
Target Audience
Ideal for cloud architects, developers, and data professionals with a basic understanding of cloud ecosystems who want to deepen their AI expertise. If you're aiming to design secure, scalable, and ethical AI applications in the cloud, or looking to bridge the gap between AI and cloud infrastructure, you'll find the content especially relevant.
