GDATA

Formats: | Asynchronous |
Blended | |
Online | |
Onsite | |
Part-time | |
Level: | Beginner |
Required Prerequisistes | |
Basic IT concepts | |
Familiarity with data and databases |
Formats: We offer our training content in a flexible format to suit your needs. Contact Us if you wish to know if we can accommodate your unique requirements.
Level: We are happy to customise course content to suit your skill level and learning goals. Contact us for a customised learning path.
Google Cloud Platform Fundamentals: Big Data & Machine Learning GDATA
In today's data-driven world, organizations that can effectively harness the power of big data and machine learning gain a significant competitive edge. This comprehensive training program, "Google Cloud Platform Fundamentals: Big Data & Machine Learning," equips you with the skills and knowledge to leverage Google Cloud's cutting-edge tools and services. You'll learn how to ingest, process, analyze, and visualize data at scale, unlocking valuable insights that drive informed decision-making and fuel innovation.
Target Audience
This course is ideal for:
- Data Analysts
- Data Scientists
- Business Intelligence Professionals
- IT Professionals
- Anyone interested in leveraging big data and machine learning on Google Cloud
Prerequisites
While no formal prerequisites are required, a basic understanding of the following is recommended:
- Basic IT concepts
- Familiarity with data and databases
- A willingness to learn!
Benefits of Attending
By attending this course, you will:
- Gain practical experience with Google Cloud's big data and machine learning services.
- Learn how to build data pipelines, perform data analysis, and create machine learning models.
- Develop in-demand skills that are highly valued in the job market.
- Enhance your career prospects and open up new opportunities.
- Receive hands-on training from experienced instructors.
What You'll Learn
This course will empower you to:
- Understand the core components of Google Cloud's big data and machine learning ecosystem.
- Build and deploy scalable data pipelines using Dataflow and Pub/Sub.
- Perform large-scale data analysis with BigQuery and BigQuery ML.
- Create real-time dashboards with Google Data Studio.
- Build and deploy machine learning models using pre-built APIs and custom models with AutoML.
- Gain insights from unstructured data using natural language processing and image recognition.
Course Outline
Module 1: Introduction to Google Cloud
- Overview of Google Cloud's Infrastructure
- Key Big Data and ML Products on Google Cloud
Module 2: Product Recommendations Using Cloud SQL and Spark
- Understanding Recommendation Models
- Computing and Storing Model Results
- Scaling with Dataproc (Hadoop in the Cloud)
- Off-Cluster Storage Options
Module 3: Predicting Visitor Purchases Using BigQuery ML
- Analyzing Big Data with BigQuery
- BigQuery's Architecture for Scalable Queries and Data Storage
- Machine Learning Fundamentals: Features, Labels, Training Data
- Model Types for Structured Datasets
- Building Custom ML Models with BigQuery ML
Module 4: Real-time Dashboards with Pub/Sub, Dataflow, and Google Data Studio
- Modern Data Pipeline Challenges and Solutions with Dataflow
- Designing Streaming Pipelines with Apache Beam
- Building Real-time Dashboards with Data Studio
Module 5: Deriving Insights from Unstructured Data Using Machine Learning
- Business Use Cases for Unstructured ML Models
- Choosing Between Pre-built and Custom ML Models
- Building a High-Performing Image Classification Model with AutoML (No Code!)
Please contact us for any queries via phone or our contact form. We will be happy to answer your questions.
Ferndale,
2194 South Africa
Tel: +2711-781 8014 (Johannesburg)
+2721-020-0111 (Cape Town)
ZA
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