$Cloud
Crack Azure Data Engineer Interviews: The Ultimate Q&A Guide
Prepare with real-world interview questions on ADF, Synapse, Databricks, Event Hubs, Data Lake, Azure Functions & more
// CATEGORY
Cloud
<p>Build in-demand cloud skills with courses in AWS, Azure, Google Cloud, DevOps, and cloud architecture.</p>
READ ENTRY
$Cloud
AWS Bootcamp: Build AI Apps with AWS Bedrock
The perfect course to take the next step in your AI learning and start building AI applications that scale. Learn the cutting-edge world of AWS Bedrock and gain AI skills by building and deploying si…
$Cloud
Cloud Architect Bootcamp: Beginner to Terraform
Learn cloud architecture fundamentals, virtualization, AWS-style infrastructure design, & Terraform via a real-world ex
$Cloud
Container Security Essentials: Docker & Cloud Security
Learn Docker Security, Kubernetes Security, Image Scanning, Runtime Protection, and Cloud-Native Security Best Practices
$AI
Azure Bootcamp – Build AI Workflows & Agents with Microsoft Foundry
Go beyond simple AI chatbots and learn the fundamentals of building powerful, enterprise-level AI workflows, agents and human-in-the-loop automations that mirror real-world AI systems by using Azure’…
$Cloud
Data Engineering on AWS Vol 1 – OLAP & Data Warehouse
Detailed training (Level 350) on AWS Data Engineering Services Redshift, S3, Athena, Hive, Glue Catalog, Lakeformation
$Cloud
Cloud CI/CD with GitHub Actions
Practical Course on GitHub Actions, where you will step by step create a full-fledged cloud CI/CD pipeline and master both basic and advanced automation techniques. The material is adapted for projec…
$Cloud
The Computer Vision Bootcamp
Learn how Computer Vision models work, including Vision Transformers and Meta’s SAM, and how they power real-world image systems. Then put your knowledge into practice by deploying a scalable compute…
$Cloud
Mastering: Azure for Developers
Familiar with Azure? Learn how to master it with this course.
$Cloud
Google Cloud Generative AI Leader Certification
Understand Google Cloud generative AI, from fundamentals to Vertex AI, RAG, governance, and enterprise use cases.