Cloud Computing
Google Cloud Platform (GCP) Engineer
Build data pipelines, containerised applications, and serverless functions on GCP.
Level: IntermediateCloud Computing
What You'll Learn
GKE Kubernetes
Cloud Functions
BigQuery analytics
Pub/Sub messaging
Dataflow pipelines
Cloud Run
Artifact Registry
Cloud Monitoring
Project: data pipeline
What's Included
🧭AI Tutor🔒
Interactive learning path with AI-generated lessons read aloud by your personal tutor
🧪Practice Lab🔒
Step-by-step lab instructions with AI guidance — run in your own IDE or sandbox.
🎙️Mock Interviews🔒
AI interviewer asks tailored questions, gives real-time feedback and a score report
📝Evaluation🔒
MCQ questions (theory, practical, code) to test your knowledge and earn a badge
⚔️Challenge AI🔒
Compete head-to-head against AI on real production problems — judged on correctness, performance, scalability, code quality, and edge cases
Course Syllabus
Containers
- •GKE Cluster Setup
- •Deploying Workloads
- •Autopilot vs Standard
- •Artifact Registry
- •Cloud Run
Serverless
- •Cloud Functions (Gen2)
- •Event Triggers
- •Cloud Tasks
- •Firebase Intro
- •Workflows
BigQuery
- •Dataset & Table Management
- •Standard SQL in BQ
- •Partitioning & Clustering
- •BQ ML
- •Looker Studio
Messaging & Streaming
- •Pub/Sub Topics & Subscriptions
- •Push vs Pull
- •Dataflow Pipelines
- •Apache Beam
- •Event-Driven Architecture
Monitoring
- •Cloud Monitoring
- •Cloud Logging
- •Error Reporting
- •Cloud Trace
- •Project: Data Pipeline
You're all set
Everything in this course is unlocked.
Continue Learning →✓AI Tutor
✓Practice Lab
✓Mock Interviews
✓Evaluation
✓Challenge AI