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Generative AI Foundations for Cloud

Joseph Lowery

Unless you’ve been living under a rock - no, make that a whole bunch of rocks - you’ve heard of Generative AI, or Gen AI for short. But do you know the difference between Gen AI and Gen AI for Cloud? This course explains and explores the Generative AI features for all the major cloud vendors. We’ll cover the overall Gen AI strategy and ecosystem for AWS, Azure and Google Cloud. And then we’ll dive into the primary related services for each platform. As a bonus, we’ll also cover significant Gen AI developments for more specialized companies: Alibaba, NVIDIA, and Salesforce.

This course is no longer available. Find something similar by browsing:
Generative AI AWS Azure Google Cloud Cloud Strategy Cloud Services

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores the Generative AI features for all major cloud vendors
Covers the overall Generative AI strategy and ecosystem
Dives into the primary related services for each platform
Provides a bonus coverage of significant Generative AI developments for more specialized companies

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Reviews summary

Generative ai cloud foundations

According to learners, this course offers a positive and broad foundational understanding of Generative AI across major cloud platforms. Students appreciate how it covers key concepts and strategic insights related to Gen AI services from AWS, Azure, and Google Cloud, along with valuable insights into more specialized vendors like Alibaba, NVIDIA, and Salesforce. While the lectures and demos are seen as effective for grasping the landscape, some suggest it is primarily conceptual with less emphasis on deep technical implementation, which may be a warning for those seeking extensive hands-on coding. Overall, it's considered highly relevant for professionals aiming to understand the strategic and ecosystem aspects of Gen AI in the cloud.
Pacing was good for some, others found it a bit rushed.
"The pacing felt just right for me to get a quick but comprehensive overview of the topic."
"I felt some sections, especially those on specialized companies, were a bit rushed."
"It could have spent more time elaborating on specific platform details to improve understanding."
Strong conceptual foundation, less focus on deep implementation.
"This course is excellent for gaining a foundational understanding of Generative AI strategies in the cloud."
"It's more about the strategy and ecosystem of Gen AI, not a deep dive into coding or advanced engineering."
"I found it perfect for managers or anyone needing a high-level overview, rather than hands-on implementation details."
Helps in understanding real-world application of Gen AI.
"The strategic insights provided were invaluable for my professional role in understanding Gen AI's impact."
"I now have a clearer understanding of how to leverage Generative AI in a practical cloud environment."
"The course clearly explains the practical implications of Gen AI, making it highly relevant to industry."
Comprehensive overview of Gen AI across major cloud platforms.
"I appreciated the fantastic overview of Generative AI features across AWS, Azure, and Google Cloud."
"This course covers all the major cloud players in Gen AI, which is incredibly useful for strategic planning."
"It provided a great comparison of the different Generative AI services offered by each major cloud vendor."
Divergent expectations for technical depth versus broad coverage.
"I was looking for more practical coding examples, but the course stayed very high-level and conceptual."
"As a developer, I found it lacked the technical depth and specific implementation details I was hoping for."
"Those seeking deep dives into specific platform functionalities might find this course too broad."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI Foundations for Cloud with these activities:
Review Machine Learning Fundamentals
Review the foundational concepts of machine learning to strengthen your understanding of generative AI.
Browse courses on Machine Learning
Show steps
  • Revisit textbooks or online resources on machine learning.
  • Work through practice problems and exercises.
Study Group Discussions
Engage in discussions with classmates or peers to share insights and clarify concepts related to generative AI.
Show steps
  • Form study groups with other students.
  • Meet regularly to discuss course materials and projects.
Lab Simulations
Run lab exercises and simulations to reinforce the hands-on aspects of generative AI.
Browse courses on Generative AI
Show steps
  • Review lab protocols and safety procedures.
  • Configure and set up the lab environment.
  • Run experiments and collect data.
  • Analyze results and draw conclusions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data Visualization Project
Create interactive data visualizations to showcase the capabilities of generative AI in data analysis.
Browse courses on Data Visualization
Show steps
  • Gather and prepare data sets.
  • Choose appropriate data visualization techniques.
  • Design and implement the visualizations.
  • Present and share your project.
Cloud Vendor-Specific Workshops
Attend vendor-led workshops to gain hands-on experience with generative AI features on specific cloud platforms.
Browse courses on Cloud Computing
Show steps
  • Research and identify relevant workshops.
  • Register and participate in the workshops.
  • Practice using the generative AI tools and services.
Comprehensive Note Compilation
Organize and consolidate your notes, assignments, and other course materials to enhance your understanding of generative AI.
Show steps
  • Review and gather all relevant materials.
  • Create a structured system for organizing the materials.
AI-Generated Content Creation
Experiment with using generative AI tools to create unique and insightful content related to generative AI.
Browse courses on Generative AI
Show steps
  • Choose a topic and research existing knowledge.
  • Use generative AI tools to generate content.
  • Edit and refine the generated content.

Career center

Learners who complete Generative AI Foundations for Cloud will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI Foundations for Cloud.
Cover image
Deep Learning
Save
A comprehensive reference for researchers and practitioners, offering in-depth coverage of Generative AI algorithms and their applications.
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
深度學習
Save
The Chinese translation of a highly respected reference on deep learning, providing a thorough foundation for understanding Generative AI.
深度學習
Paperback
Check
深度學習
Kindle Edition
Check
Cover image
Deep Medicine
Save
Provides a comprehensive overview of generative AI for healthcare. It valuable resource for anyone looking to gain a deeper understanding of how generative AI can be used to improve healthcare.
Deep Medicine: How Artificial Intelligence Can Make...
Hardcover
$$
(Deutsch) Deep Medicine -- Künstliche Intelligenz in der...
Kindle Edition
$
(Pусский) Искусственный интеллект в медицине: Как умные...
Kindle Edition
$
Cover image
Deep Learning with Python, Second Edition
Save
A well-regarded resource for understanding the fundamentals of deep learning, which core component of Generative AI.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$
Cover image
A First Course on Cloud-Based Microservices
Save
Provides hands-on experience with cloud computing platforms, complementing the theoretical concepts covered in the course.
A First Course on Cloud-Based Microservices
Paperback
Check
A First Course on Cloud-Based Microservices
Kindle Edition
Check
Cover image
Cross-Lingual Word Embeddings
Save
Provides a comprehensive overview of deep learning techniques for natural language processing. It valuable resource for anyone looking to develop a deeper understanding of how generative AI models are developed.
Cross-Lingual Word Embeddings (Synthesis Lectures...
Paperback
$$
Cover image
Microsoft Azure
Save
Provides a comprehensive overview of machine learning for the cloud. It valuable resource for anyone looking to gain a deeper understanding of how machine learning is used in the cloud.
Microsoft Azure: Planning, Deploying, and Managing...
Paperback
$$$
Microsoft Azure: Planning, Deploying, and Managing...
Kindle Edition
$$
Cover image
Cloud Computing
Save
Provides a broad overview of cloud computing, including foundational concepts, technologies, and architecture, serving as a helpful background resource.
Cloud Computing: Concepts, Technology &...
Hardcover
$$
(中文) Cloud Computing: Concepts. Technology and...
Paperback
$$
Cloud Computing: Concepts, Technology &...
Kindle Edition
$$

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Course image
Level
Introductory
Via
Pluralsight
Instructor
Joseph Lowery
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores the Generative AI features for all major cloud vendors
Covers the overall Generative AI strategy and ecosystem
Dives into the primary related services for each platform
Provides a bonus coverage of significant Generative AI developments for more specialized companies
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