MLOps Fundamentals

You can obtain a broader vision of the entire MLOps Specialization

When I first worked on Machine Learning systems, I realized something important – it’s not about building models, it’s about keeping them running, reliable, and valuable over time.

Many engineers discover this the hard way – good ML models fail when data changes, APIs break, or monitoring is missing. That’s where MLOps comes in, and why this course exists.

In this course, I wanna help you skip the guesswork and build a strong foundation, so you understand exactly what MLOps Engineers do and why their work matters.

Whether you’re a developer, engineer, or simply curious about operational AI systems, this is your practical first step into MLOps.

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What you’ll learn

✓ Understand the full machine learning lifecycle and where MLOps fits into each stage.

✓ Recognize the most common tools used in MLOps (like MLflow, Airflow, Docker, Kubernetes) and how they connect.

✓ Identify key roles in MLOps teams and how they work together in real projects.

✓ Know which MLOps skills are needed for different job roles and how to start building them.

Course Content

  • Course Introduction
  • About Your Instructor
  • Course Structure
  • What is Artificial Intelligence
  • What is Machine Learning
  • What is Deep Learning
  • What is MLOps and why it’s matter
  • Programming Languages for MLOps
  • Your First MLOps Project
  • GitHub repository with MLOps Project
  • Quiz – Introduction
  • ML Models vs ML Algorithms
  • Random Forest Classifier
  • Configuring Random Forest on Titanic Dataset, Hands-on Lab
  • Data for MLOps
  • Training Random Forest on Titanic Dataset, Hands-on Lab
  • ML Models Lifecycle
  • MLOps Tools for ML Model Lifecycle
  • Deep dive into ML Models
  • Quiz – ML Models
  • What is CI/CD
  • Core Principles of CI/CD Pipeline
  • MLOps vs DevOps Lifecycle
  • MLOps tools for CI/CD
  • GitHub Action pipeline for Random Forest on Titanic Dataset, Hands-on Lab
  • Deep dive into CI/CD for MLOps
  • Quiz – CI/CD
  • Overview of ML Infrastructure
  • Build Docker image for Random Forest on Titanic Dataset
  • Deploy to Kubernetes for Random Forest on Titanic Dataset
  • Infrastructure Management
  • Cloud Providers
  • Deep dive into Infrastructure for MLOps
  • Quiz – Infrastructure
  • Observability for ML
  • Observability tools for MLOps
  • Observability for Random Forest on Titanic Dataset, Hands-on Lab
  • Deep dive into Observability for MLOps
  • Quiz – Observability
  • Overview of Security & Compliance
  • Overview of FinOps
  • Key Players in AI/ML Teams
  • Core Responsibilities of MLOps Engineer
  • MLOps Engineer Roadmap
  • MLOps Job Descriptions
  • MLOps Salary
  • Your Next Steps in MLOps Specialization
  • Quiz – Final
  • Capstone Project

Start learning high demand tech skills today

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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.

MLOps Fundamentals
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.

Buy for 79,00 € / year

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.

Buy for 119,00 € / month

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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