| Expiry period |
1 Months |
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| Made in |
English |
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| Last updated at |
Thu Jan 1970 |
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| Level |
Beginner |
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| Total lectures |
11 |
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| Total quizzes |
11 |
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| Total duration |
03:28:09 Hours |
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| Total enrolment |
2 |
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| Number of reviews |
0 |
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| Short description |
The Artificial Intelligence Operations (AIOps) course introduces learners to the transformative power of AI in IT operations. This course explores how AI and machine learning are applied to automate, enhance, and optimize IT workflows, including monitoring, incident management, and predictive analytics. Participants will gain insights into key AIOps concepts, tools, and techniques, empowering them to leverage AI-driven solutions for smarter and more efficient IT operations. |
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| Outcomes |
- Comprehensive Understanding of AIOps Concepts: Gain in-depth knowledge of how artificial intelligence is transforming IT operations through automation, predictive analytics, and anomaly detection.
- Proficiency in Using AIOps Tools: Develop hands-on skills in using industry-leading AIOps platforms and tools to streamline IT processes, improve system performance, and reduce downtime.
- Ability to Implement AIOps Solutions: Learn how to integrate AIOps strategies into existing IT environments, enabling automated monitoring, root cause analysis, and proactive incident management.
- Enhanced Decision-Making Skills: Build confidence in leveraging AI insights to make data-driven decisions, optimize resource allocation, and ensure IT system reliability and scalability.
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| Requirements |
- Basic IT Knowledge: A foundational understanding of IT infrastructure, including servers, networks, and cloud systems, is recommended to grasp the operational aspects of AIOps effectively.
- Familiarity with Data and AI Concepts: A basic understanding of data analysis, machine learning, or artificial intelligence concepts will help you navigate the AI-driven aspects of the course.
- Access to a Computer with Internet Connectivity: A reliable computer with internet access is necessary for hands-on exercises, exploring AIOps tools, and accessing course materials.
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