AIOps: Automate and optimize IT operations using AI
Szkolenie wprowadza uczestników w koncepcję AIOps i praktyczne wykorzystanie sztucznej inteligencji w operacjach IT. Program obejmuje strategiczne podejście do transformacji od reaktywnego do proaktywnego zarządzania infrastrukturą. Uczestnicy poznają narzędzia AI wspierające monitorowanie, analitykę i automatyzację procesów IT. Zajęcia prowadzone są w formie warsztatów z symulacjami rzeczywistych scenariuszy operacyjnych.
Issues
- AIOps and its implementation in the organization
- Artificial Intelligence for IT Operations
- Proactive management of IT infrastructure
- Automatic detection of anomalies
- Predictive analytics in IT
- Machine Learning in IT operations
- Intelligent systems monitoring
- Root Cause Analysis using AI
- MLOps and governance of ML models
- AIOps platforms and their integration
- Digital Transformation IT Operations
- Site Reliability Engineering with AI
Benefits
- They will gain a deep understanding of the AIOps concept and its place in modern IT management
- They will master the ability to identify areas in the organization where AIOps will benefit the most
- They will learn to evaluate and select the right AIOps tools and platforms for their needs
- They will be able to design an AIOps solution architecture integrated with existing infrastructure
- They will develop competence in implementing intelligent monitoring and automatic anomaly detection
- They will receive practical knowledge of managing ML models in an IT production environment
- They will gain skills in planning and leading an organizational transformation towards AIOps
- They will be prepared for a leadership role in implementing AI-driven IT operations
Who is this training for?
Prerequisites
- Experience in IT systems and infrastructure management
- Knowledge of basic concepts of monitoring and alerting
- Basic knowledge of IT process automation
- Familiarity with DevOps and Agile concepts
- Openness to AI technologies and machine learning
Training program
Definition and evolution of AIOps
- The role of Big Data, ML and automation
- Differences from traditional IT Operations
- Trends and prospects for development
- Business and technical benefits of AIOps
- Moving from reactive to proactive management
- Predictive infrastructure management
- Reduce MTTR and increase availability
Optimize operating costs
- AIOps use cases in practice
- Intelligent monitoring and alerting
- Automatic detection of anomalies
Root cause analysis (RCA)
- Predictive maintenance of systems
- Overview of AIOps platforms and tools
- Analysis of available market solutions
- Criteria for choosing the right platform
- Integration with existing tools
- Comparison of functionality and capabilities
- Challenges in implementing AIOps
- Data quality and availability
- Integration with legacy systems
Change management in IT teams
- Building trust in AI systems
MLOps in the context of AIOps
- Lifecycle ML models in IT operations
- Continuous training and drift model
- Performance monitoring of AI models
- Governance and compliance in MLOps
- Practical workshops and simulations
- Analysis of case studies from various industries
- Simulation of anomaly detection
AIOps architecture design
- Implementation plan in the organization
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
What are the prerequisites for this training?
For AIOps: Automate and optimize IT operations using AI we recommend: Experience in IT systems and infrastructure management; Knowledge of basic concepts of monitoring and alerting; Basic knowledge of IT process automation.
What is the format and duration of this training?
The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.
Who is this training designed for?
This training is designed for: IT systems administrators; DevOps Specialists and Site Reliability Engineers.; IT Operations Managers.
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Funding Options
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Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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