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  1. Courses
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  3. GenAI for Cloud Support Associates

GenAI for Cloud Support Associates

This course is designed to introduce Cloud Support Associates to the transformative capabilities of Generative Artificial Intelligence (GenAI).

Christopher Klaus
Christopher Klaus
Data Science | intermediate | 2 hours |   Published: Oct 2024
In partnership with:  Coursera

    Discussions

Overview

1kSTUDENTS*
98.9RECOMMEND*

This course includes:

  • 2 hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online

This course is designed to introduce Cloud Support Associates to the transformative capabilities of Generative Artificial Intelligence (GenAI). Participants will explore practical strategies to leverage GenAI in various cloud support tasks, enhancing efficiency, productivity, and problem-solving abilities. Through a combination of discussions, demonstrations, and hands-on activities, participants will gain a deep understanding of how GenAI can be integrated into cloud support processes and decision-making. Whether you're an experienced cloud support associate looking to stay ahead of the curve or an aspiring professional seeking to future-proof your skillset, this course provides a foundation that will empower you to unlock new levels of efficiency and strategic capability in your work. 

Skills You Will Gain

Problem-Solving
Integration
Innovation

Learning Outcomes (At the end of this program you will be able to)

  • Identify the capabilities of GenAI relevant to cloud support tasks.
  • Experiment with GenAI to determine its impact on your work as a cloud support associate.
  • Compare and contrast the risks, challenges, and ethical considerations of using GenAI in cloud support.

Prerequisites

Participants should have a foundational understanding of cloud support concepts and workflows, including cloud infrastructure services like AWS, Azure, or GCP. Familiarity with common cloud support tools, troubleshooting techniques, and a basic experience in resolving cloud service issues will provide a solid base for engaging with the course content. 
 

Who Should Attend

This course is designed for cloud support associates, engineers, and operations team leads, aiming to enhance their expertise by integrating Generative AI (GenAI) into their workflows. Cloud Support Managers and Team Leads will benefit from identifying GenAI opportunities to guide their teams towards more efficient practices. 
 

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: GenAI for Cloud Support Associates
Christopher Klaus

Christopher Klaus

Navigating the intersection of data science, technology innovation, and leadership, Christopher has established a distinguished career spanning diverse sectors, including software, government, healthcare, education, and advertising. As a leader and innovator, Christopher is driven by a passion for solving complex challenges and leveraging technology to drive meaningful advancements. At the core of Christopher’s professional ethos is the commitment to unlocking potential—both in the technologies utilized and the teams led.

With expertise in data analytics, governance, engineering, and cloud technologies, Christopher has been at the forefront of deploying advanced solutions that foster strategic growth and operational excellence. Proficient in AWS, GCP, and Azure, and deeply engaged in AI and machine learning applications, Christopher consistently pioneers transformative projects that push the boundaries of technological innovation. Beyond technical achievements, Christopher cultivates environments where teams can thrive, fostering collaboration and continuous improvement.

Education and mentorship play a fundamental role in Christopher’s leadership philosophy. Through knowledge sharing, the development of educational programs, and contributions to scholarly publications, Christopher actively nurtures a culture of learning and innovation. Recognized through various honors and awards, Christopher’s contributions extend beyond personal milestones, shaping communities and setting new benchmarks in the tech industry. Each day presents an opportunity to inspire change, drive progress, and pave the way for future generations of innovators.

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Segment 01 - Introduction to GenAI for Cloud Support Associates

Segment 02 - Glossary for GenAI and Cloud Support Associates 1

Segment 03 - History & Background for GenAI and Cloud Support Associates

Segment 04 - Demo for Reviewing an Apache Log file with ChatGPT

Segment 05 - Demo for Troubleshooting Apache Spark with Microsoft CoPilot 1

Segment 06 - Demo for Inspecting Customer Support Tickets with Perplexity 1

Segment 07 - Remediating Risks and Ethical Concerns

Segment 08 - Demo for Responding to Support Tickets faster with Perplexity

Segment 09 - Demo for Cloud Cost Optimization with ChatGPT

Segment 10 - Practice Project for Cloud Support Associates

Segment 11 - Closing Thoughts: What’s Next