Overview
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Solve common challenges in IT operations using the power of AI. Review use cases in the world of IT ops and learn how to apply AI technologies to address key problems.
Syllabus
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Introduction
- Artificial intelligence and its many uses
- What you should know
- Intro to IT ops
- IT ops challenges
- AI and IT ops
- IT ops use cases overview
- Setting up the exercise files
- What is root cause analysis?
- Classification with deep learning
- Data for root cause analysis (RCA)
- Preprocessing RCA data
- Building a classification model with Keras
- Predicting root causes with Keras
- Automating helpdesk functions
- Latent semantic analysis (LSA) and latent semantic indexing (LSI)
- Data for the help desk
- Building a document vector
- Creating the LSI model
- Recommending FAQs
- Time series forecasting
- Recurrent neural network (RNN) and long short-term memory (LSTM)
- Preparing sequence data
- Building an LSTM model with Keras
- Testing the time series model
- Forecasting future service loads with Keras
- Anomaly detection
- Predicting alerting
- Incident categorization
- Spam filtering
- Network traffic analysis
- Model development best practices
- Using machine learning platforms
- Model serving best practices
- Security and privacy best practices
- Next steps
