CompTIA Security+ (SY0-701)
5 domains, 178 flashcards, 90-question practice exam, drills, and a 12-week plan.
Course Details about CompTIA Security+ (SY0-701)
FREESELF-PACEDCERTIFICATION PREP
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.
Open a course page for the domain breakdown, sample flashcards, and sample practice questions, or go straight to the hub.
5 domains, 178 flashcards, 90-question practice exam, drills, and a 12-week plan.
Course Details about CompTIA Security+ (SY0-701)5 domains, 163 flashcards, 90-question practice exam, drills, and a 12-week plan.
Course Details about AWS Certified AI Practitioner (AIF-C01)2 domains, 148 flashcards, 60-question practice exam, drills, and a 12-week plan.
Course Details about Microsoft Azure AI Fundamentals (AI-901)5 domains, 140 flashcards, 90-question practice exam, drills, and a 12-week plan.
Course Details about Google Cloud Professional Cloud Engineer (GCP-PCE)Objectives, weights, key terms, and exam-day focus areas from the official outline.
30 to 40 cards per domain with known and review tags and progress tracking.
Full-length exam with navigator, flags, auto-save, and explanations.
Per-domain timed drills to work weak areas separately.
Checkable milestones, daily targets, and a final-week sprint.
Printable reference plus vetted books, courses, labs, and practice vendors.
Planned hubs, in build order. Subscribe on VetTech Learning Hub to be notified when each one goes live.
Microsoft Azure
Core data concepts, relational and non-relational data on Azure, analytics workloads, and Azure data services.
Microsoft Azure
MLOps pipelines, CI/CD for ML, lifecycle governance, observability, drift detection, and Azure ML infrastructure.
Microsoft
Analytics solutions using Microsoft Fabric — lakehouses, data pipelines, semantic models, and dashboards.
Microsoft
Preparing data, modeling, visualizing, analyzing, and deploying reports and dashboards with Microsoft Power BI.
Google Cloud
Building, evaluating, and productionizing ML systems on Google Cloud using Vertex AI, MLOps pipelines, and generative AI.
Google Cloud
Designing and implementing secure infrastructure on Google Cloud — IAM, network security, data protection, compliance, and incident response.
Google Cloud
Fundamentals-level credential covering Google Cloud products, AI/ML capabilities, data transformation, and cloud strategy.
Amazon Web Services
Foundational AWS cloud concepts — core services, pricing models, security, compliance, and the AWS Well-Architected Framework.
Amazon Web Services
Designing distributed, scalable, and cost-optimized systems on AWS. EC2, S3, VPC, Lambda, IAM, and the AWS Well-Architected Framework.
Amazon Web Services
Implementing, deploying, and maintaining ML solutions on AWS using SageMaker, MLOps pipelines, feature engineering, and model monitoring.
Amazon Web Services
Advanced AWS security — IAM, encryption, logging, incident response, compliance frameworks, and data protection.
Four steps from first login to your next role. Each step has its own page.