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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/c0y3a8/generative
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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
Save this course
Save Generative AI Foundations for Cloud to your list so you can find it easily later:
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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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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.
Review Machine Learning Fundamentals
Show steps
Review the foundational concepts of machine learning to strengthen your understanding of generative AI.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Revisit textbooks or online resources on machine learning.
- Work through practice problems and exercises.
Study Group Discussions
Show steps
Engage in discussions with classmates or peers to share insights and clarify concepts related to generative AI.
Show steps
Show steps
Show steps
- Form study groups with other students.
- Meet regularly to discuss course materials and projects.
Lab Simulations
Show steps
Run lab exercises and simulations to reinforce the hands-on aspects of generative AI.
Browse courses on
Generative AI
Show steps
Show steps
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
Show steps
Create interactive data visualizations to showcase the capabilities of generative AI in data analysis.
Browse courses on
Data Visualization
Show steps
Show steps
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
Show steps
Attend vendor-led workshops to gain hands-on experience with generative AI features on specific cloud platforms.
Browse courses on
Cloud Computing
Show steps
Show steps
Show steps
- Research and identify relevant workshops.
- Register and participate in the workshops.
- Practice using the generative AI tools and services.
Comprehensive Note Compilation
Show steps
Organize and consolidate your notes, assignments, and other course materials to enhance your understanding of generative AI.
Show steps
Show steps
Show steps
- Review and gather all relevant materials.
- Create a structured system for organizing the materials.
AI-Generated Content Creation
Show steps
Experiment with using generative AI tools to create unique and insightful content related to generative AI.
Browse courses on
Generative AI
Show steps
Show steps
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:
For more career information including salaries, visit:
OpenCourser.com/course/c0y3a8/generative
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.
Save
A comprehensive reference for researchers and practitioners, offering in-depth coverage of Generative AI algorithms and their applications.
Save
The Chinese translation of a highly respected reference on deep learning, providing a thorough foundation for understanding Generative AI.
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.
A well-regarded resource for understanding the fundamentals of deep learning, which core component of Generative AI.
Provides hands-on experience with cloud computing platforms, complementing the theoretical concepts covered in the course.
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.
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.
Save
Provides a broad overview of cloud computing, including foundational concepts, technologies, and architecture, serving as a helpful background resource.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/c0y3a8/generative
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Level
Introductory
Via
Pluralsight
Instructor
Joseph Lowery
Language
English
Good to know
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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