Google Cloud Big Data and Machine Learning Fundamentals
About Course
Course Overview of Google Cloud Big Data and Machine Learning Fundamental
Do you dream of transforming raw data into intelligent solutions that drive results? This course titled Google Cloud Big Data and Machine Learning Fundamentals is your career launchpad! You will master the data-to-AI lifecycle on Google Cloud, wielding powerful tools like BigQuery, Dataflow, Pub/Sub, and Vertex AI.
You hone skills to create seamless data pipelines that stream in real-time with Dataflow and Pub/Sub, then conquer massive datasets with BigQuery’s unparalleled analytical power. Dive deep into building machine learning solutions on Google Cloud, exploring diverse options and workflows. Unravel the magic of Vertex AI, understand its key steps, and craft your own AutoML pipeline to automate model building.
After completing Google Cloud Big Data & Machine Learning Fundamentals course, students will be able to:
- Decipher the data-to-AI lifecycle on Google Cloud and master its key stages.
- Identify and utilize the major big data and machine learning products.
- Design streaming pipelines that ingest and process data on the fly with Dataflow and Pub/Sub.
- Conquer huge datasets with BigQuery’s powerful analytics engine, unlocking hidden insights.
- Explore diverse options for building machine-learning solutions tailored to your needs.
- Demystify the machine learning workflow on Google Cloud and its key steps with Vertex AI.
- Automate model building and unleash the power of AutoML to create your own machine-learning pipeline.
Google Cloud Big Data & Machine Learning Fundamentals: Key Features
- Our Google Cloud Platform training modules have 50% – 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
- Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
- GCP certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
- Well-structured use-cases to simulate challenges encountered in a Real-World environment during Google Cloud Platform training.
- Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.
- Being an official Google Cloud Platform Training Partner, we offer authored curriculum that are at par with industry standards.
Course Content
Module 1: Course Introduction
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Recognize the data-to-AI lifecycle on Google Cloud.
00:00 -
Identify the connection between data engineering and machine learning.
00:00
Module 2: Big Data and Machine Learning on Google Cloud
Activities:
Module 3: Data Engineering for Streaming Data
Activities:
Module 4: Data Engineering for Streaming Data
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