CONTACT FOR DEMO CLASS : (+91) 8951869553/52
CONTACT FOR DEMO CLASS : (+91) 8951869553/52
Course Start Date: 20th January 2025
Participants will gain hands-on experience with AIOps, automated CI/CD pipelines, and AI-driven cloud monitoring to optimize performance and reduce operational overhead.
Learn how AI and Machine Learning can be applied to IT operations to automate problem detection, root cause analysis, and resolution.
Integrate AI tools into your delivery pipelines to automate code reviews, testing, and deployment decisions for faster software releases.
Use AI-driven insights to monitor cloud resource usage and automatically adjust allocations to minimize waste and reduce infrastructure costs.
Master AI-powered Infrastructure as Code (IaC) to automatically provision, configure, and manage cloud environments with minimal manual intervention.
In this intensive session, DevOps engineers and Cloud professionals will learn how to leverage Artificial Intelligence to optimize their workflows. The micro session covers Essential AIOps concepts, from intelligent monitoring and logging to automated incident response and proactive infrastructure management.
Participants will explore how AI can enhance CI/CD pipelines, simplify cloud cost management, and improve security through automated threat detection. By the end of this session, you will understand how to integrate AI-driven automation into your existing DevOps stack to achieve higher reliability and faster delivery cycles.
EarlyRise's AI Automation in DevOps and Cloud Micro Session Key Features
Implement AIOps for automated incident management
Optimize CI/CD pipelines with intelligent automation
Master AI-driven Cloud cost and resource management
Automate infrastructure provisioning with AI-powered IaC
Improve system reliability through predictive monitoring
Future-proof your DevOps career with AI & AIOps skills
Customized to your team's needs
Key Learning Objective: Understanding the role of AI in streamlining DevOps operations and enhancing observability.
Key Learning Objective: Integrating AI tools into the software development lifecycle for automated reviews and tests.
Key Learning Objective: Using Machine Learning to identify the source of system failures and suggest remediation.
Key Learning Objective: Forecasting potential system outages and performance bottlenecks before they occur.
Key Learning Objective: Optimizing cloud resources and configurations using AI to ensure cost-efficiency and performance.
Key Learning Objective: Monitoring cloud spend and automatically applying cost-saving measures through AI insights.
Key Learning Objective: Enhancing DevSecOps through AI-driven vulnerability scanning and real-time threat detection.
Key Learning Objective: Exploring advanced neural network architectures for complex system optimization and forecasting.
4 Hours
4 Hours
Upon successful completion of the course, participants will receive a certificate from EarlyRise. This certificate is widely recognized and signifies that the holder has acquired specialized skills and knowledge in AI Automation in DevOps and Cloud. It serves as a testament to their expertise and is valued by industry professionals and employers.
Get In Touch
Our team will be happy to assist you make the right decision
Leading industry professionals who bring current best practices and case studies to sessions that fit into your work schedule.
Our Course fees are very nominal and competitive. We provide Scholarship up to 50% time to time for eligible candidates.
This session is ideal for DevOps engineers, Cloud architects, system administrators, and technical professionals who want to understand how AI can be leveraged to automate and optimize IT operations and cloud infrastructure.
No. We focus on the practical application of AI tools and AIOps concepts within the DevOps ecosystem. Our approach simplifies the integration of AI, making it accessible for engineers who may not have extensive data science experience.
You will be able to set up AI-driven monitoring dashboards, integrate automated root cause analysis into your workflows, optimize cloud resource allocation using AI insights, and enhance your CI/CD pipelines with intelligent automation.
The session covers a range of tools including Ansible, Terraform, and ChatGPT for automation, along with popular AIOps monitoring and logging frameworks like Prometheus, Grafana, and the ELK Stack.
Yes. Participants receive a dedicated resource kit containing automation scripts, AI-driven monitoring templates, and reference guides to help implement AIOps in their professional environments.
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