Prepare Data for ML APIs on Google Cloud Training

Live Online & Classroom Enterprise Training

Learn how to collect, clean, transform, and prepare datasets for Machine Learning APIs using Google Cloud data services and tools. This course focuses on real-world data preparation workflows to ensure ML models receive high-quality input data.

Looking for a private batch ?

REQUEST A CALLBACK

Enterprise Reporting
Lifetime Access
CloudLabs
24x7 Support
Real-time code analysis and feedback

What is Prepare Data for ML APIs on Google Cloud Course about?

This course provides hands-on knowledge of preparing structured and unstructured data for Machine Learning APIs on Google Cloud. Learners will explore data ingestion, data cleaning, transformation, labeling, and validation using services such as Cloud Storage, BigQuery, and Dataflow. The training also covers best practices for managing data quality, scalability, and security while preparing datasets for ML model consumption. By the end of the course, learners will be able to build automated data preparation pipelines optimized for ML workloads.

What are the objectives of Prepare Data for ML APIs on Google Cloud Course ?

Understand data preparation requirements for ML APIs
Perform data cleaning and transformation using Google Cloud tools
Implement scalable data pipelines for ML workflows
Validate and monitor data quality for ML models
Prepare datasets suitable for different ML API use cases

Who is Prepare Data for ML APIs on Google Cloud Course for?

Data Engineers working with ML pipelines
ML Engineers preparing datasets for model training or inference
Cloud Developers building AI-enabled applications
Data Analysts transitioning into ML workflows
IT Professionals working with Google Cloud data services

What are the prerequisites for Prepare Data for ML APIs on Google Cloud Course?

Prerequisites:

Basic understanding of Machine Learning concepts
Familiarity with cloud computing fundamentals
Basic knowledge of SQL and data querying
Understanding of data formats (CSV, JSON, Avro, etc.)
Basic experience with Google Cloud Platform

Learning Path:

Introduction to ML Data Preparation Concepts
Data Ingestion using Google Cloud Services
Data Cleaning and Transformation Techniques
Building Data Pipelines for ML APIs
Data Validation, Governance, and Optimization

Related Courses:

Introduction to AI and Machine Learning on Google Cloud
Feature Engineering on Google Cloud
Building ML Pipelines on Google Cloud
Big Data and Data Engineering on Google Cloud

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

Module 1: Data Preparation with Dataprep by Trifacta

Learn how to clean and prepare data using Dataprep by Trifacta

Understand data transformation techniques for machine learning

Module 2: Running Data Pipelines in Dataflow

Set up and execute data pipelines using Google Cloud Dataflow

Process and transform data at scale

Module 3: Working with Apache Spark on Dataproc

Create clusters and run Apache Spark jobs in Google Cloud Dataproc

Manage and monitor Spark jobs for data processing

Module 4: Utilizing ML APIs

Call and integrate various Google Cloud ML APIs, including:

Cloud Natural Language API

Google Cloud Speech-to-Text API

Video Intelligence API

Who is the instructor for this training?

The trainer for this Prepare Data for ML APIs on Google Cloud Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews

My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!

Shweta Priya

Sony

I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.

Swati Singh

I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.

Nikhil Kohli

Stryker

I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!

Heena Rajan

Mindtree