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Cloud Computing and Big Data Course

Cloud Computing and Big Data Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

You will learn how cloud service models, deployment architectures, and pricing structures work so you can make informed infrastructure decisions. You will build data ingestion pipelines that handle both batch and real-time streaming workloads at scale. You will develop practical skills in Apache Spark, Apache Airflow, and cloud-native managed services. You will apply big data analytics techniques and create interactive dashboards that communicate insights to business stakeholders. You will also explore MLOps practices, including feature stores, model serving, and automated retraining pipelines. Finally, you will cover cloud security, cost optimisation with FinOps, and data governance frameworks that are required in professional environments.

Elevify advantages

Develop skills

  • Cloud Infrastructure Design: Provision and configure compute, storage, and networking resources on cloud platforms.
  • Big Data Pipeline Engineering: Build reliable batch and streaming ingestion pipelines for large-scale datasets.
  • Apache Spark Optimisation: Write, tune, and deploy distributed Spark jobs on managed cloud clusters.
  • ML Model Deployment: Integrate machine learning workflows with cloud infrastructure and big data pipelines.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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