ML Algorithms for MLOps
You can learn how ML Algorithms work from MLOps standpoint
In this course, you will learn how Machine Learning algorithms work from the MLOps perspective. We won’t focus on building ML models, but on how to work with them in production, how their type affects deployment, monitoring, explainability, speed, and cost.
We’ll explore models like regression, decision trees, clustering, NLP, and time series, and explain what MLOps Engineers need to know to run and support them. You’ll learn how to track model drift, choose the right metrics, scale NLP models, and handle issues in real systems.
You’ll also see how model behavior connects to infrastructure, CI/CD, monitoring, and cost. This includes both classic ML models and modern transformer-based ones.
What you’ll learn
✓ Understand how different ML algorithms behave in production, and why this affects deployment, monitoring, and resource usage.
✓ Learn which metrics to track for different types of models, and how to check if a model is drifting or underperforming in real time.
✓ Work with NLP and time series models in pipelines, with focus on latency, batching, and scaling in production environments.
✓ Use explainability tools to make model decisions more clear and trusted during audits or incidents.
Course Content
Start learning high demand tech skills today
About Your Instructor
Hi, I’m Alex and I’ve spent over 20 years helping well known startups and enterprises introduce innovations. I also developed and taught Cloud&DevOps part for a Master’s Degree at the University.
In this course, I’ll show you what MLOps looks like in practice – step by step, with real tools and clear guidance.
You don’t need to be an expert. If you want to understand how to start or enforce your career as MLOps Engineer, not just in theory, but in real life, this course is for you. Let’s get started.
ML Algorithms
Course Access
Get 12 months of access to this course, including:
- All video lectures and screencasts
- Quizzes for every section
- Capstone project to build real-world skills
- Access to all reading materials and downloadable resources
- GitHub repository with source code
Perfect for learners who want to master this topic at their own pace.
All Courses Access +
Q&A + Capstone
- Unlimited access to all current and future courses in Nubes Academy
- Participation in live Q&A sessions with Instructors
- Expert feedback and review of your Capstone projects
- Downloadable resources and GitHub repositories for every course
The best option for serious learners who wanna master real-world MLOps, FinOps, SecOps, Cloud and more, with direct expert guidance.
All courses are developed by experienced instructors with over 10 years of real-world industry expertise. We focus on delivering practical, up-to-date content – not just collecting enrollments, so that every course gives you real value.
Our courses meet high academic standards, and we’re actively working on certification to ensure they align with recognized best practices.
Each course includes video lectures, hands-on labs with screen recordings, quizzes, reading materials, GitHub repository with real project code, and a capstone project. This structure is designed to help you build practical, in-demand skills and knowledge that employers care about.
However, if you’re not satisfied for any reason, you can request a refund in accordance with our Refund Policy – your satisfaction matters to us.
It’s not just skills. It’s your next chapter.
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