Generative AI in Cloud Computing: Core Concepts
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David Linthicum
1:40:06
58 View
01 - Cloud-based generative AI.mp4
00:32
01 - Introduction to cloud-based generative AI.mp4
02:27
02 - The business value of generative AI on cloud platforms.mp4
02:33
01 - Introduction to cloud-based storage and data management.mp4
03:20
02 - Introduction to cloud-based tools for model training and deployment.mp4
03:08
03 - Introduction to cloud-based APIs for generative AI.mp4
01:52
04 - Introduction to cloud-based generative models for image and video data.mp4
02:39
05 - Introduction to Generative Adversarial Networks (GANs) on the cloud.mp4
02:31
06 - Challenge Set up cloud services for generative AI.mp4
01:15
07 - Solution Set up cloud services for generative AI.mp4
01:52
01 - Introduction to cloud-based generative AI models for text data.mp4
03:03
02 - Overview of natural language processing (NLP) techniques for text generation.mp4
04:30
03 - Cloud-based tools for training language models.mp4
02:33
04 - Music modeling with recurrent neural networks (RNNs) on the cloud.mp4
03:58
05 - The future of generative AI in the cloud.mp4
01:59
01 - Art and music generation use case.mp4
02:28
02 - Game development use case.mp4
02:23
03 - Text generation use case.mp4
02:40
04 - Image and video generation use case.mp4
02:33
05 - Data augmentation use case.mp4
02:15
06 - Personalization use case.mp4
03:14
07 - Medical diagnosis use case.mp4
03:13
08 - Robotics use case.mp4
02:05
09 - Other emerging use cases.mp4
01:36
10 - Challenge Get creative with art.mp4
02:08
11 - Solution Get creative with art.mp4
02:07
01 - Explore Amazon SageMaker.mp4
02:35
02 - Google Cloud AI Platform.mp4
02:38
03 - AI and Microsoft Azure.mp4
02:08
04 - AI on IBM Watson.mp4
01:54
05 - Understanding OpenAI.mp4
02:32
06 - Demo OpenAI API.mp4
07:36
01 - Edge computing and cloud-based generative AI.mp4
02:54
02 - Federated learning for distributed generative models on the cloud.mp4
01:58
03 - Security and privacy issues in cloud-based generative AI.mp4
02:13
04 - Overview of generative AI ethics in the cloud.mp4
02:56
05 - Challenge Generative AI on the edge of clouds.mp4
01:13
06 - Solution Generative AI on the edge of clouds.mp4
02:45
01 - Trying out cloud-based generative AI.mp4
01:50
Description
Are you looking for an overview of cloud-based generative AI (GenAI) services? Join instructor David Linthicum in this introductory course as he covers the core concepts, tools, services, and common considerations lying at the intersection of generative AI and cloud computing.
Get an overview of GenAI cloud-based services and features by examining use cases across a wide variety of industries, including core business systems, as well as art, music, video games, text and image generation, data augmentation, personalization, healthcare, robotics, and more. Along the way, learn how to get started with AI tools such as Amazon SageMaker, Google Cloud AI Platform, OpenAI, ChatGPT, IBM Watson, and Microsoft Azure. David offers advanced insights on best practices for edge computing, federated learning, security, digital privacy, and ethics. You can also test out your new skills as you go in the practice challenges at the end of each section.
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David Linthicum
Instructor's CoursesDavid Linthicum is on most top 10 lists of technology innovators and influencers, including cloud computing, edge computing, and security concepts. David is a best-selling author of over 15 books and over 7,000 published articles. He is also the originator of many business-related technology concepts, including Enterprise Application Integration (EAI). He’s an innovator within Service-Oriented Architecture (SOA), and now cloud computing and the use of cloud computing for digital transformations.
With his remarkable ability to design, explain, and implement technology solutions to solve existing business problems and create new opportunities, David rose rapidly through the corporate ranks from programmer to CEO, with stops in between that helped inform his holistic view of enterprises. Based in Washington, D.C., David currently serves Global 2,000 clients as Deloitte’s Chief Cloud Strategy Officer, where he drives new innovations and market offerings, as well as leads people and projects, as well as thought leadership outreach. This includes on the “Deloitte On Cloud Podcast,” as well as several Forbes and WSJ articles.
David’s 50+ courses on LinkedIn Learning consistently appear on the “Popular Courses” list and provide course content on cloud computing, cloud architecture, cloud security, cloud governance, cloud operations, DevOps, and many other concepts related to cloud computing and enterprise technology in general. He’s also an adjunct professor for Louisiana State University (LSU), where he’s created courses on DevOps, Cloud Computing, Cloud Architecture, and other courses that are in-demand by the LSU student body. David has done over 1,000 conference presentations in the U.S. and abroad, often as a keynote speaker at conferences related to enterprise technology. He has hosted over 2,000 Webinars on the correct use of enterprise technology, including cloud computing, edge computing, DevOps, and data science.
David’s holistic view of the technology value model cuts through the hype cycles and other distractions to provide clear solutions. His goal is to provide opportunities for businesses to lead their markets by weaponizing technology to provide better products, services, and customer experiences. His mission is to use innovative technology approaches that provide the best outcomes for his clients.
Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 39
- duration 1:40:06
- English subtitles has
- Release Date 2023/10/15
