Lesson proof
Concept, demo, checklist, lab, and assignment evidence.
AWS / Azure / Google Cloud / Open Source AI / Generative AI Cloud Engineer
Generative AI Cloud Engineer
Build cloud-native generative AI applications with RAG, vector databases, agents, evaluation, safety, cost controls, observability, and production deployment patterns.
GenAI application architectureRAG portfolio projectAI safety and evaluation evidence
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
Generative AI application architectureLesson + portfolio pack + CV evidencePrompt engineering and task designLesson + portfolio pack + CV evidenceEmbeddings and vector databasesLesson + portfolio pack + CV evidenceRetrieval augmented generation systemsLesson + portfolio pack + CV evidenceAI agents and tool orchestrationLesson + portfolio pack + CV evidenceLLMOps evaluation and monitoringLesson + portfolio pack + CV evidenceAI security privacy and governanceLesson + portfolio pack + CV evidenceAI cost optimization on cloudLesson + 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.
generative-ai-cloud-engineer.generative-ai-application-architecture.01 / 13% weight
Apply Generative AI application architecture decisions to Generative AI Cloud Engineer scenarios
Implementation proof
- Define Generative AI application architecture in plain language and explain the provider service family it belongs to.
- Show how Generative AI application architecture 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
generative-ai-cloud-engineer.prompt-engineering-and-task-design.02 / 13% weight
Apply Prompt engineering and task design decisions to Generative AI Cloud Engineer scenarios
Implementation proof
- Define Prompt engineering and task design in plain language and explain the provider service family it belongs to.
- Show how Prompt engineering and task design 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
generative-ai-cloud-engineer.embeddings-and-vector-databases.03 / 13% weight
Apply Embeddings and vector databases decisions to Generative AI Cloud Engineer scenarios
Implementation proof
- Define Embeddings and vector databases in plain language and explain the provider service family it belongs to.
- Show how Embeddings and vector databases 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
generative-ai-cloud-engineer.retrieval-augmented-generation-systems.04 / 13% weight
Apply Retrieval augmented generation systems decisions to Generative AI Cloud Engineer scenarios
Implementation proof
- Define Retrieval augmented generation systems in plain language and explain the provider service family it belongs to.
- Show how Retrieval augmented generation systems 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
generative-ai-cloud-engineer.ai-agents-and-tool-orchestration.05 / 13% weight
Apply AI agents and tool orchestration decisions to Generative AI Cloud Engineer scenarios
Implementation proof
- Define AI agents and tool orchestration in plain language and explain the provider service family it belongs to.
- Show how AI agents and tool orchestration 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
generative-ai-cloud-engineer.llmops-evaluation-and-monitoring.06 / 13% weight
Apply LLMOps evaluation and monitoring decisions to Generative AI Cloud Engineer scenarios
Implementation proof
- Define LLMOps evaluation and monitoring in plain language and explain the provider service family it belongs to.
- Show how LLMOps evaluation and 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
generative-ai-cloud-engineer.ai-security-privacy-and-governance.07 / 13% weight
Apply AI security privacy and governance decisions to Generative AI Cloud Engineer scenarios
Implementation proof
- Define AI security privacy and governance in plain language and explain the provider service family it belongs to.
- Show how AI security privacy and governance 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
generative-ai-cloud-engineer.ai-cost-optimization-on-cloud.08 / 9% weight
Apply AI cost optimization on cloud decisions to Generative AI Cloud Engineer scenarios
Implementation proof
- Define AI cost optimization on cloud in plain language and explain the provider service family it belongs to.
- Show how AI cost optimization on cloud 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.
AWS Certification
CompTIA Security+
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.
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.
AWS Certification
ITIL Foundation Version 5
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.
AWS Certification
GitHub Foundations
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.
AWS Certification
Google Analytics Certification
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.
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 application architecture: user task, trusted knowledge, model choice, context window, retrieval, tools, evaluation, and human review.
Build RAG and agent labs that are measured with accuracy, groundedness, latency, safety, and cost signals.
Treat privacy, prompt injection, data leakage, monitoring, rollback, and governance as production requirements from day one.
Hands-on labs
Build a RAG knowledge assistant for a cloud certification knowledge base with source grounding and citations.
Create an AI agent workflow that calls a safe tool, logs actions, and handles failure without exposing secrets.
Compare model outputs using an evaluation scorecard for accuracy, groundedness, refusal quality, latency, and cost.
Write an AI governance checklist covering data sources, privacy, prompt injection, monitoring, and human review.
Track learning assets
Templates and revision tools for this path.
Exam blueprint checklistGenerative AI Cloud Engineer
Weekly study plannerGenerative AI Cloud Engineer
Command and service cheat sheetGenerative AI Cloud Engineer
Architecture pattern cardsGenerative AI Cloud Engineer
Flashcard revision setGenerative AI Cloud Engineer
Mock exam review sheetGenerative AI Cloud Engineer
Lab evidence templateGenerative AI Cloud Engineer
Interview story builderGenerative AI Cloud Engineer
Portfolio project rubricGenerative AI Cloud Engineer
Final readiness checklistGenerative AI Cloud Engineer
Practice questions
Why should a RAG system include evaluation before launch?
Evaluation proves whether answers are accurate, grounded in trusted sources, safe, useful, and cost-effective before learners or customers depend on them.
What is a common risk when an AI agent can call tools?
The agent might execute unsafe or unintended actions, so tools need narrow permissions, validation, logging, rate limits, and human approval for risky operations.