Our Upcoming Training Programs
Course Description
Dive deep into the revolutionary realm of DevOps, enhanced and augmented with Machine Learning (ML) techniques. Our comprehensive ML for DevOps course aims to empower DevOps professionals with the skillset needed to harness ML algorithms and techniques, automating and streamlining DevOps processes.
Meet Our Trainer
Learn More
Bassem Ben Hamed
Trainer and Professor
Module 1 : Introduction to ML For DevOps
- How
to apply ML in DevOps - Build
and compare end-to-end ML models for service reliability prediction - Understand
and learn how to use Machine Learning concepts
Key Learnings
- Understanding the significance of applying Machine Learning to DevOps processes
- Exploring the key concepts of machine learning, including regression, classification, and clustering
- Build and compare end-to-end ML models for service reliability prediction
Module 2 : Time Series models and concepts
- Discover
Time series concepts and different models - Use
forecasting as a predictive model in TS analysis
Key learnings
- Explore key concepts and advanced models within the domain of time series analysis
- Get insights into advanced data modeling and predictive analytics
Module 3 : Understand the Natural Language Processing
- Concepts of Natural Language Processing
- How to Build
a NLP end-to-end application ( from modeling to packaging)
Key learnings
- Explore the concepts underpinning Natural Language Processing
- Use log classification and security measures within the context of NLP
- Gain practical skills for real-world applications
What you will learn?
Professionals in DevOps, SRE,Testing and CI/CD field will be bale to use ML techniques and algorithms to automate quality analysis and troubleshooting during the DevOps processes as well as predict and prevent potential issues before they occur.
Benefits: Allow DevOps teams to leverage the insights generated by ML models to make informed decisions about how to optimize and improve their processes (quality, speed, agility and cost effectiveness).
Your profile
- DevOps, CI/CD, Testing & SRE
Engineers
Prerequisites
This training program is designed for the participants who possess the following skills:
- Python
- Being Comfortable with command Line
- Prior programming experience (at least 1+year)
Certification
Upon completion of this training program, you will be awarded a Certificate of Attendance, jointly issued by our Digital Innovation Academy, recognizing your successful completion of the course.
