This comprehensive program is designed to equip learners with the skills required to manage modern applications and intelligent systems using DevOps, AIOps, and MLOps, along with leading cloud platforms like AWS and Microsoft Azure.
The course starts with core DevOps practices, including CI/CD pipelines, infrastructure as code, and containerization. It then advances into AIOps, where you will learn how to use Artificial Intelligence to automate monitoring, detect anomalies, and improve system reliability. Further, the program covers MLOps, enabling you to build, deploy, and manage machine learning models in production environments.
With strong integration of cloud technologies, you will gain hands-on experience in deploying scalable applications, managing cloud infrastructure, and implementing AI-driven solutions using AWS and Azure services.
The training focuses on real-time projects, industry tools, and practical implementation, ensuring you are fully prepared for next-generation roles in cloud, DevOps, and AI-driven operations.
DevOps fundamentals and CI/CD pipeline implementation
Cloud deployment using AWS & Azure
Infrastructure as Code and containerization
AI-driven monitoring and automation (AIOps)
Machine Learning lifecycle management (MLOps)
Real-time project deployment on cloud
DevOps Engineer
Cloud Engineer (AWS / Azure)
AIOps Engineer
MLOps Engineer
Site Reliability Engineer (SRE)
Start Date & End Date
1 Subject
1 Learning Materials
100 Courses • 18262 Students
Mahesh Desireddy, Founder & COO of KSR Datavizon, dedicated to empowering individuals with quality tech education. With a mission to bridge the skills gap, I focus on sharing practical, industry-relevant knowledge to help learners achieve their career goals in IT and Data Analytics."
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