If you have

• Role in IT operations, DevOps, or data management, and want to use AI to boost efficiency and automate tasks.
• Experience in data analytics, machine learning, or monitoring, and looking to deepen your knowledge of AIOps tools.
• Interest in applying big data and AI to streamline IT processes and solve issues proactively.
• Goal to adopt AIOps to transform and optimize IT operations in your organization.

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With AIOps you will

• Learn foundational concepts and technologies in AIOps, including big data analytics, machine learning, and AI-powered automation.
• Understand how AIOps aligns with and enhances DevOps, MLOps, and Site Reliability Engineering to improve IT operations.
• Gain insights into implementing AIOps strategies to predict issues, reduce downtime, and improve collaboration across IT functions.
• Explore best practices for deploying AIOps in your organization to achieve consistent, data-driven operations.

Results 

• Achieve betterIT efficiency by automating tasks and predicting issues before they affect services.
• Foster collaboration across data, operations, and development teams with a unified approach to AIOps.
• Minimize downtime and improve reliability through predictive analytics and automated incident response.
• Position your organization as an innovative leader by adopting AIOps and leveraging advanced technology.

Skills Developed

• Mastering AIOps fundamentals, including its origins, core technologies, and key applications in IT operations.
• Applying machine learning and big data analytics to proactively monitor, detect, and address operational issues.
• Utilizing AIOps tools to automate issue detection and resolution, reducing manual workloads and enhancing response times.
• Measuring and evaluating AIOps performance using industry metrics to support continuous improvement and operational insights.