Lesson proof
Concept, demo, checklist, lab, and assignment evidence.
IoT / Robotics / Edge / Cloud AI / IoT and Edge AI Engineer
IoT, Robotics, and Edge AI Engineer
Build connected-device and edge AI skills with MQTT, device identity, telemetry ingestion, digital twins, edge inference, robotics data, and industrial monitoring.
IoT architecture readinessEdge AI lab evidenceIndustrial telemetry portfolio
Start domain mock testPlatform-wide module outputs
Every module now feeds portfolio proof and CV readiness.
Portfolio pack
Requirement, artifact, validation, risk note, and interview story.
CV signal
Role-specific skill statement linked to a score or artifact.
Review queue
Submitted evidence can support dashboard, readiness, and career exports.
Open materials
IoT architecture and device lifecycleLesson + portfolio pack + CV evidenceMQTT telemetry and event ingestionLesson + portfolio pack + CV evidenceDevice identity certificates and securityLesson + portfolio pack + CV evidenceEdge inference and model deploymentLesson + portfolio pack + CV evidenceDigital twins and industrial monitoringLesson + portfolio pack + CV evidenceRobotics data pipelinesLesson + portfolio pack + CV evidenceTime series storage and anomaly detectionLesson + portfolio pack + CV evidenceIoT operations cost and reliabilityLesson + portfolio pack + CV evidence
Certification objective coverage
Every provider-aligned module is connected to a lesson, labs, mock questions, and implementation proof.
This is the track-level audit view for blueprint alignment. Exact exam wording should still be checked against the current official provider guide before public exam-code claims are made.
iot-edge-ai-engineer.iot-architecture-and-device-lifecycle.01 / 13% weight
Apply IoT architecture and device lifecycle decisions to IoT and Edge AI Engineer scenarios
Implementation proof
- Define IoT architecture and device lifecycle in plain language and explain the provider service family it belongs to.
- Show how IoT architecture and device lifecycle is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
iot-edge-ai-engineer.mqtt-telemetry-and-event-ingestion.02 / 13% weight
Apply MQTT telemetry and event ingestion decisions to IoT and Edge AI Engineer scenarios
Implementation proof
- Define MQTT telemetry and event ingestion in plain language and explain the provider service family it belongs to.
- Show how MQTT telemetry and event ingestion is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
iot-edge-ai-engineer.device-identity-certificates-and-security.03 / 13% weight
Apply Device identity certificates and security decisions to IoT and Edge AI Engineer scenarios
Implementation proof
- Define Device identity certificates and security in plain language and explain the provider service family it belongs to.
- Show how Device identity certificates and security is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
iot-edge-ai-engineer.edge-inference-and-model-deployment.04 / 13% weight
Apply Edge inference and model deployment decisions to IoT and Edge AI Engineer scenarios
Implementation proof
- Define Edge inference and model deployment in plain language and explain the provider service family it belongs to.
- Show how Edge inference and model deployment is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
iot-edge-ai-engineer.digital-twins-and-industrial-monitoring.05 / 13% weight
Apply Digital twins and industrial monitoring decisions to IoT and Edge AI Engineer scenarios
Implementation proof
- Define Digital twins and industrial monitoring in plain language and explain the provider service family it belongs to.
- Show how Digital twins and industrial monitoring is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
iot-edge-ai-engineer.robotics-data-pipelines.06 / 13% weight
Apply Robotics data pipelines decisions to IoT and Edge AI Engineer scenarios
Implementation proof
- Define Robotics data pipelines in plain language and explain the provider service family it belongs to.
- Show how Robotics data pipelines is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
iot-edge-ai-engineer.time-series-storage-and-anomaly-detection.07 / 13% weight
Apply Time series storage and anomaly detection decisions to IoT and Edge AI Engineer scenarios
Implementation proof
- Define Time series storage and anomaly detection in plain language and explain the provider service family it belongs to.
- Show how Time series storage and anomaly detection is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
iot-edge-ai-engineer.iot-operations-cost-and-reliability.08 / 9% weight
Apply IoT operations cost and reliability decisions to IoT and Edge AI Engineer scenarios
Implementation proof
- Define IoT operations cost and reliability in plain language and explain the provider service family it belongs to.
- Show how IoT operations cost and reliability is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
Test readiness
Mock test by domain
Practice every domain in this track with exam-style questions, answer keys, and explanations.
Open mock testMost in-demand certification materials
High-value certificates connected to this track.
CompTIA
CompTIA Security+
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Entry security, cloud security fundamentals, and broad IT baseline roles.
CompTIA Security+ is mapped to platform lessons and labs, but still needs a dated official-source review.
- Security terminology flashcards
- Risk, identity, encryption, network, and incident-response checklist
- Scenario questions covering least privilege, logging, malware, and secure operations
AWS
AWS Certified Cloud Practitioner (CLF-C02)
CurrentLast verified: 2026-06-24Next review: 2026-09-22
Beginners and career switchers who need cloud concepts, pricing, shared responsibility, global infrastructure, and core AWS service literacy.
CLF-C02 was verified against the official AWS certification page on 2026-06-24. Keep this source check on the 90-day review cadence.
AWS official-source stamp
Foundational / CLF-C02
Official domain weighting
Cloud Concepts24%
Security and Compliance30%
Cloud Technology and Services34%
Billing, Pricing, and Support12%
Lab focus
- Service-family mapping
- Shared responsibility
- IAM baseline
- Billing and support signals
Readiness gates
- Foundation lessons complete
- Core AWS service map complete
- Billing/security quiz passed
- Cleanup evidence captured
- Cloud concepts, global infrastructure, billing, support, and shared-responsibility notes
- AWS compute, storage, database, networking, security, monitoring, and pricing service map
- Foundation scenario drills for service selection, cost awareness, and cloud adoption
PeopleCert / ITIL
ITIL Foundation Version 5
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Support, operations, service desk, cloud operations, and team-lead learners who need service value, incident, change, SLA, and continual improvement fluency.
ITIL Foundation Version 5 is mapped to platform lessons and labs, but still needs a dated official-source review.
- Service value system, value chain, guiding principles, and practice vocabulary map
- Incident, problem, change, request, service level, knowledge, and continual improvement drills
- Service review evidence pack with tickets, SLA metrics, improvement actions, and stakeholder communication
GitHub
GitHub Foundations
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Software, DevOps, cloud, data, and AI learners proving repository workflow, collaboration, issues, pull requests, and portfolio evidence.
GitHub Foundations is mapped to platform lessons and labs, but still needs a dated official-source review.
- Repository, commit, branch, pull request, issue, release, and project-board checklist
- Code review, branch protection, README, and portfolio repository quality rubric
- Workflow scenario drills for collaboration, review, release notes, and change history
Google Skillshop
Google Analytics Certification
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Design, marketing, product, and business learners who need GA4 events, conversions, audiences, acquisition, and reporting fluency.
Google Analytics Certification is mapped to platform lessons and labs, but still needs a dated official-source review.
- GA4 event, conversion, UTM, audience, report, and attribution vocabulary map
- Measurement plan and dashboard checklist for websites, campaigns, and landing pages
- Optimization scenario drills connecting traffic, conversion, content, and campaign decisions
Certification provider connections
Connect this learning path to the official exam provider.
CompTIA Certification
CompTIA Security+
Use CompTIA objectives as the checklist, then connect Security+, Network+, or Cloud+ progress to the learner dashboard.
Booking partner: Pearson VUE
- Create or confirm the CompTIA account.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
AWS Certification
AWS Certified Cloud Practitioner (CLF-C02)
Use the AWS Certification account to review exam guides, book exams, manage score reports, and share verified badges.
Booking partner: Pearson VUE or PSI, depending on exam and region
- Create or confirm the AWS Certification account.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
PeopleCert
ITIL Foundation Version 5
Connect ITIL and service-management readiness to the learner's exam booking, certificate proof, and renewal reminders.
Booking partner: PeopleCert
- Create or confirm the PeopleCert account.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
GitHub Certifications
GitHub Foundations
Connect repository, Actions, security, and collaboration evidence to certification readiness and portfolio exports.
Booking partner: GitHub exam delivery partner
- Create or confirm the GitHub account.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
Google Skillshop
Google Analytics Certification
Use Skillshop for Google product credentials and connect analytics or marketing evidence to learner progress.
Booking partner: Google Skillshop
- Create or confirm the Google Skillshop profile.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
01 Match
Map each Daskerel track to the official provider, exam code, registration page, and verification route.
02 Prepare
Use provider objectives with Daskerel lessons, mock exams, labs, and evidence packs before booking.
03 Book
Send learners to the official scheduling partner while keeping target dates and next actions in the dashboard.
04 Verify
Capture certificate URL, badge, expiry, renewal plan, and portfolio proof after the learner passes.
Study plan
Start with device identity, telemetry flow, network reliability, event ingestion, and cloud-side processing.
Practise edge inference and digital twin scenarios where latency, safety, and offline behavior matter.
Connect industrial monitoring to time-series data, anomaly detection, operations dashboards, alerting, and cost controls.
Hands-on labs
Design an IoT telemetry path from device through MQTT broker, stream ingestion, storage, dashboard, alert, and archive.
Create a device security checklist covering identity, certificates, rotation, firmware, least privilege, and network isolation.
Build an edge AI deployment plan that explains model update, rollback, latency, monitoring, and offline behavior.
Design a digital twin dashboard for equipment state, telemetry, alarms, maintenance, and anomaly detection.
Track learning assets
Templates and revision tools for this path.
Exam blueprint checklistIoT, Robotics, and Edge AI Engineer
Weekly study plannerIoT, Robotics, and Edge AI Engineer
Command and service cheat sheetIoT, Robotics, and Edge AI Engineer
Architecture pattern cardsIoT, Robotics, and Edge AI Engineer
Flashcard revision setIoT, Robotics, and Edge AI Engineer
Mock exam review sheetIoT, Robotics, and Edge AI Engineer
Lab evidence templateIoT, Robotics, and Edge AI Engineer
Interview story builderIoT, Robotics, and Edge AI Engineer
Portfolio project rubricIoT, Robotics, and Edge AI Engineer
Final readiness checklistIoT, Robotics, and Edge AI Engineer
Practice questions
Why is device identity critical in IoT systems?
Device identity prevents unknown devices from sending trusted telemetry or receiving commands, and it supports certificate rotation, access control, and audit.
When is edge inference useful?
Edge inference is useful when decisions need low latency, local privacy, offline behavior, or reduced cloud bandwidth, such as industrial safety or video analytics.