GCP Machine Learning Engineer Course (Beginner to Advanced, 2025 Edition)
Simplifying ETL with Dataflow & BigQuery | GCP Practical ETL
Learn how to build a practical ETL pipeline on Google Cloud by combining Dataflow and BigQuery — transforming raw data into analytics-ready tables.
Duration: 38 Minutes
Channel: Anima Acharya
Course Playlist
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Project 1: Setting Up GCP Project & Service Account5 Minutes -
Project 2A: Build ML Pipeline on Vertex AI with Kubeflow23 Minutes -
Project 2B: Run & Monitor ML Pipeline on Vertex AI11 Minutes -
Project 3: RAG-Powered Intelligent Search Assistant4 Minutes -
Project 4: Agentic AI Workflow with Gemini & Vertex AI11 Minutes