AWS Labs
Hands-on labs for EC2, S3, Lambda, VPC, IAM, CloudFormation, SageMaker, Glue, Kinesis, and more — with live AWS sandbox accounts.
18 labs availableVEDNIQ LaaS delivers isolated, guided sandbox environments for AWS, Databricks, GenAI, ML, and Data Engineering — billed per participant per lab. No platform cost, no infrastructure ownership, no long-term commitment.
Labs run on real AWS and Databricks infrastructure — not emulators or video walkthroughs.
Sandboxes spin up in seconds. Participants start building, not configuring accounts or waiting for IT.
Completion, step progress, and lab scores are visible to instructors and training managers in real time.
Labs align directly to VEDNIQ instructor-led modules so concepts are applied immediately after learning.
Each lab collection is purpose-built for its domain — real services, real datasets, real IAM, and guided tasks that map to what your team learns in class.
Hands-on labs for EC2, S3, Lambda, VPC, IAM, CloudFormation, SageMaker, Glue, Kinesis, and more — with live AWS sandbox accounts.
18 labs availableEnd-to-end labs for Lakehouse architecture, Spark, Delta Lake, MLflow, Unity Catalog, and Databricks ML — running on live workspace environments.
14 labs availablePractical GenAI labs covering prompt engineering, RAG pipelines, LLM fine-tuning, agentic workflows, and LLMOps with real model endpoints.
12 labs availableGuided ML labs covering model training, evaluation, hyperparameter tuning, deployment, and monitoring with scikit-learn, XGBoost, and AWS SageMaker.
10 labs availableHands-on labs for building data pipelines, streaming ingestion with Kafka & Kinesis, orchestration with Airflow, and ETL on AWS Glue and Databricks.
9 labs availableNeed a lab tailored to your internal platform, cloud setup, or specific use case? We build custom lab environments for your team's exact stack and scenario.
Available on requestNo DevOps, no accounts, no pre-work. Participants select a lab, get a live sandbox, and follow guided tasks with real-time validation and scoring.
Choose from 60+ guided labs across AWS, Databricks, GenAI, ML, and Data Engineering — filtered by domain, difficulty, and duration.
A pre-configured cloud environment spins up in seconds — AWS accounts, Databricks workspaces, datasets, and IAM roles fully provisioned and ready.
Work through structured, step-by-step instructions with contextual hints. Each step is validated automatically so participants get immediate feedback.
Lab outcomes, step completion, and time-on-task are scored and surfaced to instructors and training managers — exportable to LMS or HR systems.
Buy hands-on labs like a service, not a permanent platform. Pay for scheduled lab runs, participant access, validation, reporting, and cleanup — with no cloud account setup or infrastructure ownership.
Best for pilots, practice events, and a small cohort that needs one specific hands-on exercise.
Best for enterprise training batches where every module needs hands-on reinforcement.
Best when the lab must match your internal platform, data, controls, or proprietary workflow.
These labs are run most frequently alongside VEDNIQ training cohorts — covering the exact skills your engineering and data teams need to apply on the job.
Labs are designed for real enterprise cohorts — not individual self-paced learners. Instructors, managers, and training teams get full visibility.
Every participant gets their own isolated cloud environment. No shared state, no account conflicts, no risk of touching production resources.
Each step is validated automatically as participants complete it — no instructor grading needed. Mistakes surface in real time with contextual hints.
See cohort-level progress, stuck points, step completion rates, and individual lab scores — without interrupting participants mid-lab.
Labs run for a defined window, then sandbox resources are cleaned up automatically. No billing risk, no orphaned resources, no manual teardown.
Lab completion and scores export to Workday, SAP SuccessFactors, Cornerstone, or any LRS-compatible LMS for training record compliance.
Customize which steps to include, what datasets to use, and what difficulty level fits the cohort — without rebuilding labs from scratch.
Labs work best when paired immediately after instructor-led training — but they also stand alone for practice, assessment, and onboarding.
Run a lab immediately after each training module so participants apply exactly what they just learned — reducing forgetting and building confidence.
Give new engineers structured AWS or Databricks labs in their first week — no senior engineer time required, no production access needed.
Use labs as a pre-certification readiness check — confirming that participants can execute the skills, not just recall them from slides.
Run structured, scored labs as a fairer, more realistic alternative to whiteboard interviews — candidates demonstrate actual skills on real infrastructure.
No. VEDNIQ Labs provisions fully isolated sandbox environments for each participant. No personal or corporate accounts, no IAM setup, no billing exposure — everything is managed within the lab platform.
Yes — that's the primary design intent. Labs are mapped directly to VEDNIQ instructor-led modules. You can schedule them to run the same day as the session, the following morning, or as standalone practice in the week after training.
Instructors and managers get a cohort dashboard with per-participant completion status, step-level progress, time-on-task, and a scored outcome. Results export to LMS, Workday, or SuccessFactors in standard formats.
Yes. Custom lab builds are available for teams that need labs on internal platforms, specific cloud setups, or proprietary toolchains. Contact us to scope requirements and timeline.
You pay for each scheduled participant lab run rather than buying a permanent lab platform. The billable unit maps to actual usage: the selected lab, the participant sandbox window, validation, reporting, and automatic cleanup.
Yes. Labs can run standalone for onboarding, technical hiring, certification readiness, practice days, or internal skill validation. They can also be bundled directly into VEDNIQ training programs.
Each run includes guided instructions, an isolated sandbox, required datasets or services, automated validation, progress tracking, scored outcomes, reporting, and teardown after the lab window closes.
Yes. For enterprise batches, VEDNIQ can bundle multiple lab runs across a cohort so pricing follows the training plan while still staying usage-based and transparent.