Cloud Computing and Big Data Course

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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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