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Training Courses

Every course is a free study hub on VetTech Learning Hub, our sister site, built from the official exam outline. Four hubs are live today and eleven more are in the pipeline.

Live Courses

Open a course page for the domain breakdown, sample flashcards, and sample practice questions, or go straight to the hub.

What Every Course Includes

Domain Breakdowns

Objectives, weights, key terms, and exam-day focus areas from the official outline.

Interactive Flashcards

30 to 40 cards per domain with known and review tags and progress tracking.

Timed Practice Exam

Full-length exam with navigator, flags, auto-save, and explanations.

Objective Drills

Per-domain timed drills to work weak areas separately.

12-Week Study Plan

Checkable milestones, daily targets, and a final-week sprint.

Cheat Sheet & Resources

Printable reference plus vetted books, courses, labs, and practice vendors.

In the Pipeline

Planned hubs, in build order. Subscribe on VetTech Learning Hub to be notified when each one goes live.

Azure Data Fundamentals (DP-900)

Microsoft Azure

Core data concepts, relational and non-relational data on Azure, analytics workloads, and Azure data services.

Machine Learning Operations Engineer (AI-300)

Microsoft Azure

MLOps pipelines, CI/CD for ML, lifecycle governance, observability, drift detection, and Azure ML infrastructure.

Fabric Analytics Engineer (DP-600)

Microsoft

Analytics solutions using Microsoft Fabric — lakehouses, data pipelines, semantic models, and dashboards.

Power BI Data Analyst (PL-300)

Microsoft

Preparing data, modeling, visualizing, analyzing, and deploying reports and dashboards with Microsoft Power BI.

Professional Machine Learning Engineer (GCP-PMLE)

Google Cloud

Building, evaluating, and productionizing ML systems on Google Cloud using Vertex AI, MLOps pipelines, and generative AI.

Professional Security Engineer (GCP-PSE)

Google Cloud

Designing and implementing secure infrastructure on Google Cloud — IAM, network security, data protection, compliance, and incident response.

Cloud Digital Leader (GCP-CDL)

Google Cloud

Fundamentals-level credential covering Google Cloud products, AI/ML capabilities, data transformation, and cloud strategy.

AWS Cloud Practitioner (CLF-C02)

Amazon Web Services

Foundational AWS cloud concepts — core services, pricing models, security, compliance, and the AWS Well-Architected Framework.

AWS Solutions Architect Associate (SAA-C03)

Amazon Web Services

Designing distributed, scalable, and cost-optimized systems on AWS. EC2, S3, VPC, Lambda, IAM, and the AWS Well-Architected Framework.

AWS ML Engineer Associate (MLA-C01)

Amazon Web Services

Implementing, deploying, and maintaining ML solutions on AWS using SageMaker, MLOps pipelines, feature engineering, and model monitoring.

AWS Security Specialty (SCS-C03)

Amazon Web Services

Advanced AWS security — IAM, encryption, logging, incident response, compliance frameworks, and data protection.

The Learning Path

Four steps from first login to your next role. Each step has its own page.

  1. Enroll

    Open a free study hub or join a cohort that fits your goals.

  2. Train

    Work the domains, flashcards, and labs.

  3. Prepare

    Practice exams, drills, and career readiness.

  4. Launch

    Career support and employer connections.

Pick a Course and Start Today

Free, self-paced, and built for people who served.