Associate Data Practitioner Training Logo

Associate Data Practitioner Training

Live Online & Classroom Enterprise Training

Over a series of courses and labs, participants will gain hands-on experience with Google Cloud’s data tools. They will learn to query and manage datasets with BigQuery, prepare data for dashboards in Looker, understand AI/ML product basics, manage infrastructure aspects (storage, monitoring), optimize cloud storage costs, and apply cloud security fundamentals. On completion, learners are better positioned to pursue the Associate Data Practitioner certification.

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What is Associate Data Practitioner Training about?

This learning path builds foundational data skills on Google Cloud. Learners explore data engineering, SQL in BigQuery, dashboard/report preparation with Looker, AI/ML basics, cloud infrastructure, cost optimization, and security fundamentals. The path aims to equip data practitioners to analyze data, build insights, and support data-driven decision-making using Google Cloud tools.

What are the objectives of Associate Data Practitioner Training ?

  • Build a foundational understanding of data engineering roles, responsibilities, and challenges on Google Cloud.
  • Write, load, and troubleshoot SQL queries in BigQuery to derive insights from data.
  • Prepare, filter, merge, and format data to create dashboards and reports in Looker.
  • Gain an introductory understanding of AI/ML lifecycle, products, and use cases.
  • Acquire basics of cloud infrastructure, cost optimization strategies, and security best practices on Google Cloud.

Who is Associate Data Practitioner Training for?

  • Aspiring data practitioners or business analysts looking to work with cloud-based data tools.
  • Professionals in data/analytics roles aiming to upskill in Google Cloud.
  • Analysts or BI users wanting to use Looker and BigQuery in their workflow.
  • IT or operations staff supporting data infrastructure in cloud environments.
  • Individuals preparing to pursue the Associate Data Practitioner certification or transitioning into data roles.

What are the prerequisites for Associate Data Practitioner Training?

  • Basic familiarity with data and tabular concepts (e.g. rows, columns, tables).
  • Some exposure to or willingness to learn SQL.
  • General awareness of cloud computing or willingness to grasp cloud fundamentals.
  • Access to a Google Cloud account to perform hands-on labs and exercises.
  • Willingness to practice, experiment, and engage in lab-based learning.

Available Training Modes

Live Online Training

5 Days

Self-Paced Training

30 Hours

Course Outline Expand All

Expand All

  • Roles and responsibilities of data engineers and how they map to business needs
  • Google Cloud’s data engineering offerings and service options
  • Typical challenges in data pipelines, workflows, and scaling
  • Mapping data engineering tasks to Google Cloud services and tools
  • Writing SQL queries in BigQuery (SELECT, JOIN, aggregation)
  • Querying public datasets and exploring existing tables
  • Loading sample data into BigQuery and managing datasets
  • Troubleshooting syntax errors via query validator and query debugging
  • Filtering, sorting, and pivoting data for reporting needs
  • Merging results from different Looker Explores or data sources
  • Using functions and operators in Looker to transform data
  • Building dashboard visuals, reports, and embedding insights
  • Overview of AI/ML lifecycle: training, evaluation, deployment
  • Explore Google Cloud’s AI/ML product offerings (Vertex AI, AI Platform)
  • Compare predictive vs generative AI models and use cases
  • Investigate AI/ML solution design considerations and constraints
  • Introduction to Cloud Storage and storage options on GCP
  • Understanding monitoring, logging, and observability basics
  • Working with application services in Google Cloud environment
  • Hands-on lab experiences with storage and monitoring tasks
  • Configure monitoring for bucket object access and usage
  • Automate migration of objects across storage classes (e.g., Regional to Nearline)
  • Analyze storage usage patterns and cost implications
  • Deploy Cloud Functions or scripts to assist cost-based storage management
  • Identity and Access Management (IAM): roles, permissions, policies
  • Service accounts, identities, and resource access control
  • Enabling private connectivity, VPC, subnets, and networking security
  • Secure access best practices, audit logging, and defense in depth

Who is the instructor for this training?

The trainer for this Associate Data Practitioner Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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Associate Data Practitioner Training - Certification & Exam

After completing this course, you can take the below certifications: Google Cloud Associate Data Practitioner Certification

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