Daskerel platform background showing cloud labs, readiness evidence, global operations, projects, and opportunity signals

Applied learning and career readiness proof

Prove exam readiness, hands-on skills, project evidence, and career opportunity fit.

Daskerel connects 21 digital schools, readiness assessment, applied lessons, mock tests, governed labs and simulations, project evidence, writing, presentations, CV and interview preparation, learner feedback, and employer opportunity pathways in one measurable learning platform.

83

learning tracks

1158

deep modules

421

track labs

1

paid member library

Daskerel learning schools

All 21 digital schools are live, spanning technology, mathematics, science, engineering, business, law, finance, operations, and education.

Explore the live digital pathways and see which physical, regulated, accredited, or professional activities still require qualified partners and separately approved delivery controls.

Explore all learning schools

Platform motion clips

A quick moving view of the readiness journey.

The clip shows how the platform turns assessment, mock recovery, governed labs, portfolio proof, and the Readiness Passport into a measurable learner journey.

Readiness journeyAssess / practise / prove / progressREADINESS JOURNEYLIVE SIGNALguided replay72%READYNEXTSkill scanMock recoveryLab proofPassportAssess / practise / prove / progressOWNED DASKEREL VIDEO-STYLE MOTION GRAPHIC

Optional voiceover / Narration

French audio requires a French voice installed in the browser or Windows. Until one is available, Daskerel will show the French transcript rather than read it with an English voice.

Platform video explainers

Visual clips that show how Daskerel works before launch.

These owned Daskerel motion graphics explain the parts that matter most: governed labs, paid role-path projects, career evidence services, and consent-based opportunity sharing. They avoid third-party footage and keep the platform visually consistent.

Open video library
Governed lab sessionSandbox build with evidence and cleanupGOVERNED LAB SESSIONLIVE SIGNALguided replayCOSTTIMERPROOFProvisionBuildValidateClean upSandbox build with evidence and cleanupOWNED DASKEREL VIDEO-STYLE MOTION GRAPHIC

Optional voiceover / Narration

French audio requires a French voice installed in the browser or Windows. Until one is available, Daskerel will show the French transcript rather than read it with an English voice.

Hands-on lab workflow

Learners provision, build, validate, capture evidence, and clean up cloud resources.

Project builder storeChoose / build / test / document / presentPROJECT BUILDER STORELIVE SIGNALguided replayREPOTESTDEMOBriefDesignBuildReviewChoose / build / test / document / presentOWNED DASKEREL VIDEO-STYLE MOTION GRAPHIC

Optional voiceover / Narration

French audio requires a French voice installed in the browser or Windows. Until one is available, Daskerel will show the French transcript rather than read it with an English voice.

Project, writing and presentation studio

Pro learners build structured projects, referenced writing, and evidence-led presentations, with optional human review.

Career evidence studioCV, cover letter, interview prep, and visibilityCAREER EVIDENCE STUDIOLIVE SIGNALguided replayATSSTARREADYEvidenceCVLetterCoachCV, cover letter, interview prep, and visibilityOWNED DASKEREL VIDEO-STYLE MOTION GRAPHIC

Optional voiceover / Narration

French audio requires a French voice installed in the browser or Windows. Until one is available, Daskerel will show the French transcript rather than read it with an English voice.

Career evidence support

Evidence becomes CV content, cover letters, interview preparation, and controlled visibility.

Platform module map

Understand each part before choosing what to do next.

Daskerel is organised as connected modules. Each one has a clear job, and together they move a learner from goal setting to study, practice, hands-on proof, paid access, and career-ready evidence.

Global Daskerel platform operations connecting learner readiness, labs, teams, and opportunities

Learning Tracks

01

Definition

Structured certification paths that group lessons, objectives, labs, mock tests, and portfolio tasks around a target role or exam.

How it works

A learner chooses a track, opens its modules, studies each lesson, completes related labs, then uses mock tests and evidence tasks to prove progress.

Readiness Assessment

02

Definition

A guided diagnostic that captures the learner's role goal, confidence, weak domains, and starting point before deeper study begins.

How it works

Answers are scored into a readiness result, weak areas are surfaced, and the app recommends the next track or module to focus on.

Study Planner

03

Definition

A weekly learning route that turns certification goals into manageable study, practice, lab, and review blocks.

How it works

The planner connects track priorities with study weeks so learners know what to study, practise, prove, and revisit next.

Mock Exams

04

Definition

Domain-based practice tests that simulate exam decision-making and expose weak objectives before the real certification attempt.

How it works

Learners answer questions, review explanations, flag weak topics, and generate readiness signals for the dashboard.

Cloud Labs

05

Definition

Hands-on lab environments and guided tasks for building real cloud, network, DevOps, security, and platform engineering evidence.

How it works

A learner launches a lab, follows practical steps, captures evidence, records notes, and cleans up resources through the lab workflow.

Evidence Review

06

Definition

A proof system for submitting lab artifacts, validation notes, cleanup notes, and reviewer feedback.

How it works

Submitted evidence is stored against the learner, scored for completeness, and shown in dashboard, portfolio, and CV outputs.

Readiness Passport

07

Definition

A learner dashboard that combines assessment results, mock scores, lab evidence, proof dimensions, and next actions.

How it works

The dashboard reads readiness reports and evidence records, summarizes progress, and shows what is proven, weak, or ready for review.

Portfolio and CV Builder

08

Definition

Career output tools that turn completed modules, readiness scores, projects, and lab evidence into employer-ready proof.

How it works

The app converts learning activity into structured portfolio entries, interview stories, skill statements, and editable CV content.

Membership Access

09

Definition

The paid-access layer that controls premium content, billing status, member pages, and lab allowances.

How it works

Stripe and entitlement records decide whether a learner has active access, then protected pages and lab actions respond to that status.

AI Operations

10

Definition

An operations console that models incidents, triage agents, severity, recommended actions, and prevention steps.

How it works

A learner or operator enters an incident signal, the triage logic classifies the domain, and the console returns action guidance.

Team Readiness

11

Definition

A manager-facing concept for cohorts, team learning paths, readiness oversight, role mapping, and lab governance.

How it works

Team signals group learner progress into cohort-level views so mentors and managers can plan support and track capability.

Legal and Trust

12

Definition

The business trust layer covering terms, privacy, copyright, acceptable use, platform ownership, and operational policies.

How it works

Legal pages are generated from structured policy content and linked across the app so learners understand rights and responsibilities.

Study language

Choose a preferred learning language.

Save a language preference for future localized lessons, subtitles, flashcards, lab instructions, and exam-prep notes.

Selected

English

Global

Default language for most vendor documentation, exams, cloud labs, and technical interviews.

Your learning language preference is saved for future localized study content.

Localized learning preview

  • Lessons can show translated summaries and key terms.
  • Labs can provide bilingual setup guidance.
  • Mock exam explanations can be localized while preserving vendor terminology.

Market leadership system

Designed to compete on trust, outcomes, and real engineering proof.

The strongest certification platforms do more than list courses. Daskerel is structured around exam intelligence, hands-on skill evidence, legal clarity, and a premium learner journey that can grow into team training.

Certification intelligence

Every path is organised around exam domains, practical decisions, answer explanations, and job-ready evidence rather than isolated theory.

Multi-cloud career coverage

AWS, Azure, Google Cloud, CompTIA, Docker, Cisco, Terraform, CloudFormation, CDK, Kubernetes, Ansible, Linux, data analytics, data product management, marketing digital data and IA, no-code product building, mathematics for data science, cyber security, machine learning, MLOps, AI engineering, networking, DevOps, and platform engineering are treated as one career ecosystem.

Evidence-led learning

Learners build diagrams, labs, troubleshooting notes, mock tests, and portfolio proof that can support interviews as well as exam preparation.

Trusted commercial operation

The platform makes ownership, copyright, intellectual property, privacy, GDPR-style rights, subscription rules, and acceptable use visible from the start.

Daskerel Proof Engine

The missing layer: proof that learning is becoming job-ready capability.

Daskerel can stand apart by connecting exam objectives, weak-area recovery, lab evidence, role simulations, cost safety, and grounded AI coaching into one measurable readiness system.

Blueprint authority

Every certification path stays tied to versioned exam objectives, lesson coverage, lab coverage, mock questions, and update notes.

Blueprint versionObjective coverageLast reviewedGap queue

Weak-objective recovery

Wrong answers, skipped lessons, low confidence, and failed lab evidence feed a focused recovery queue instead of generic revision.

Retake targetTrap patternRecovery lessonValidation quiz

Evidence quality scoring

Portfolio work is scored for clarity, technical depth, validation, risk awareness, cleanup proof, and interview usefulness.

Evidence scoreMissing proofReviewer noteExport status

Role simulation tickets

Learners practise cloud work through realistic tickets: incidents, customer requests, migrations, data failures, security events, and network change reviews.

Scenario briefDecision logValidation proofHandover

Cost and cleanup discipline

Live labs include fair-use limits, estimates, expiry timers, cleanup evidence, stuck-lab review, and provider cost-risk controls.

Budget checkExpiry timerDestroy proofRisk flag

Grounded AI tutor

AI help is framed around the lesson, exam objective, lab task, and learner level so answers teach reasoning instead of inventing shortcuts.

Source contextExplain modeQuiz modeNo-answer boundary

Readiness workflow

From goal to exam confidence.

01 Assess

Role goal, current skill level, preferred cloud, target exam, and weekly study capacity.

02 Study

Domain lessons, scenario explanations, hands-on labs, and exam blueprint mapping.

03 Practise

Mock tests by domain, answer review, weak-area tracking, and retake planning.

04 Prove

Portfolio diagrams, Terraform, CloudFormation, CDK notes, troubleshooting evidence, and interview preparation.

05 Coach

AI tutor, adaptive path, interview practice, role simulators, and global learner modes.

Enterprise and compliance layer

Built for learners today and teams tomorrow.

  • Team learning paths across all 21 digital schools, from cloud and engineering to law, business, finance, science, operations, and education
  • Readiness, evidence, and progression dashboards for managers and mentors
  • Private cohorts, study calendars, and school- or role-based learning plans
  • Legal, copyright, privacy, GDPR-style, acceptable-use, and security materials
  • Payment-ready premium membership structure with protected member area
  • Independent applied-learning positioning with provider, professional, regulatory, accreditation, and safety boundaries stated clearly

Premium learning materials

A richer study library built for exams, interviews, and real project work.

Daskerel now combines guided lessons, labs, mock exams, flashcards, case studies, cheat sheets, and portfolio evidence so learners can prove practical capability, not only memorise answers.

Deep lessons

Structured explanations that connect exam objectives to real engineering decisions, diagrams, service choices, and operational tradeoffs.

Hands-on labs

Practical exercises for architecture, Terraform, Linux, Ansible, DevOps, analytics, dashboards, AI workflows, and security runbooks.

Notebook and IDE labs

Guided setup and exercises for Google Colab, Jupyter Notebook, JupyterLab, Anaconda Navigator, VS Code, and cloud-hosted analytics workspaces.

Network simulation labs

Cisco Packet Tracer, Cisco Modeling Labs, GNS3, EVE-NG, Wireshark, and CLI troubleshooting packs for CCNA, CCNP Enterprise, MPLS, cybersecurity, automation, and hybrid cloud networking practice.

Cisco certification workbooks

Deep CCNA, CCNP Enterprise, MPLS service-provider, CCNA Cybersecurity, and CCNA Automation guides with blueprint maps, topology drills, SOC tickets, API labs, and evidence rubrics.

CompTIA certification workbooks

Vendor-neutral A+, Network+, Security+, Cloud+, Linux+, and Project+ guides with exam-domain maps, ticket drills, troubleshooting labs, security baselines, and readiness evidence.

Docker container workbooks

Docker-focused guides for container requirements, Dockerfiles, images, registries, Compose, networking, volumes, secrets, scanning, CI/CD, troubleshooting, cleanup, and production handoff evidence.

Programming language modules

Role-based coding modules for Python, SQL, JavaScript, TypeScript, Java, C#, Go, Bash, PowerShell, Rust, and R.

Mock exams

Timed, review, and weak-area practice modes with domain scoring, answer explanations, and readiness targets.

Flashcards and cheat sheets

Compact revision material for formulas, service limits, CLI commands, architecture patterns, security controls, and exam traps.

Case studies

Professional scenarios for migration, landing zones, incident response, data analytics, AI governance, and cost optimization.

Role-specialist certification workbooks

Deep AWS, Azure, and Google Cloud role packs for developer, operations, security, DevOps, SRE, data, AI, networking, and API engineering with role-specific evidence rubrics.

Secure delivery and reliability workbooks

DevSecOps, AppSec, software supply-chain, SRE, observability, incident command, postmortem, load testing, and resilience guides with production-style proof.

Industry differentiator tracks

Advanced cloud-adjacent paths for data product management, marketing digital data and IA, no-code product building, MLOps, generative AI engineering, telecom cloud, 5G, scientific computing, IoT, edge AI, network automation, and computer science fundamentals.

Portfolio evidence

Assignments that produce diagrams, notebooks, dashboards, runbooks, deployment plans, and architecture review documents.

Lab material library

Practical lab packs for cloud role specialists, AWS CloudFormation, CDK, DevOps, Docker, SRE, DevSecOps, AppSec, programming, analytics, notebooks, CompTIA, CCNA, CCNP Enterprise, Cisco cybersecurity, automation, hybrid networking, security, AI, and ML.

Each lab pack gives learners practical tasks they can turn into portfolio proof, interview stories, and real project confidence across cloud platforms, programming languages, notebooks, IDEs, and network simulators.

Architect

Cloud architecture lab pack

  • Design a three-tier web application with public, private, and database subnets.
  • Create a multi-account landing zone plan with logging, security, shared services, and workload accounts.
  • Write a disaster recovery decision table comparing backup/restore, pilot light, warm standby, and active-active.
  • Prepare an executive architecture review with risk, cost, reliability, and security tradeoffs.

Cloud specialist

Cloud role-specialist lab pack

  • Build an AWS serverless or containerized workload with IAM least privilege, logs, alarms, deployment evidence, and cost tags.
  • Deploy an Azure application workflow with managed identity, Key Vault, Monitor, pipeline gates, and rollback notes.
  • Complete a Google Cloud challenge lab with project IAM, Cloud Run or Functions, logs, metrics, billing labels, and validation evidence.
  • Create a cloud security baseline across identity, encryption, audit logs, detection, backup, and incident response evidence.
  • Design a cloud data or AI workflow with ingestion, storage, processing, model or AI-service decision, governance, and cost controls.

AWS IaC specialist

AWS CloudFormation and CDK IaC lab pack

  • Author a CloudFormation template with parameters, mappings, conditions, outputs, tags, validation, and cleanup notes.
  • Review and execute a CloudFormation change set, then capture stack events, replacement risk, drift status, and rollback evidence.
  • Deploy a SAM serverless workload with Lambda, API Gateway, DynamoDB, logs, alarms, least privilege, and teardown proof.
  • Build an AWS CDK app with constructs, stacks, stages, synth, diff, tests, context review, and environment promotion evidence.
  • Compare Terraform, CloudFormation, and CDK for this platform's ECS, DynamoDB, Cognito, CloudFront, WAF, and backup architecture.

Security engineer

DevSecOps and AppSec lab pack

  • Create a threat model with assets, actors, trust boundaries, abuse cases, risk scores, mitigations, and residual risk.
  • Run a secure-code review worksheet for OWASP risks, API authorization, secrets, dependency risk, and logging decisions.
  • Design a CI/CD security gate with SAST, DAST, SCA, secret scanning, IaC scanning, container scanning, approvals, and exception handling.
  • Build a software supply-chain evidence pack with SBOM, image signature or provenance note, vulnerability triage, and release decision.
  • Write an AppSec report with finding proof, severity, remediation, retest result, stakeholder summary, and secure release recommendation.

Reliability engineer

SRE and observability lab pack

  • Create an SLO worksheet with user journey, SLI, target, error budget, burn-rate alert, and business impact.
  • Design an observability dashboard with metrics, logs, traces, service dependencies, saturation, latency, traffic, errors, and alerts.
  • Write an incident command timeline with severity, roles, communications, mitigation, rollback decision, and recovery validation.
  • Run a capacity and load-testing exercise with assumptions, bottlenecks, scaling thresholds, cost impact, and performance budget.
  • Create a postmortem with root cause, contributing factors, impact, corrective actions, owners, due dates, and prevention evidence.

Engineer

DevOps and automation lab pack

  • Build a CI/CD workflow with build, test, scan, approval, deploy, and rollback stages.
  • Create Terraform modules for networking, compute, storage, and environment promotion.
  • Write an Ansible playbook to install packages, configure services, and validate health.
  • Design a release runbook with blue/green, canary, and emergency rollback decisions.

Analyst

Data analytics and BI lab pack

  • Clean a messy sales dataset using pandas and document data quality issues.
  • Calculate mean, median, mode, standard deviation, correlation, and grouped KPIs.
  • Create dashboard wireframes for executive, operational, and analyst audiences.
  • Write an insight memo explaining trend, cause, risk, and recommended business action.

Big data analyst

Big data analytics lab pack

  • Design a data lake flow covering raw, staged, curated, and analytics-ready zones.
  • Use a Spark-style notebook to transform, aggregate, and validate a large dataset.
  • Compare batch and streaming pipeline patterns for business reporting and operational alerts.
  • Create a governance checklist covering quality, lineage, access, retention, cost, and monitoring.

Data scientist

Data science notebook and IDE lab pack

  • Run a starter analytics notebook in Google Colab with pandas, NumPy, Matplotlib, and scikit-learn.
  • Install Anaconda locally and create a reproducible conda environment for notebook-based analysis.
  • Use JupyterLab to clean a dataset, export an HTML report, and save a requirements or environment file.
  • Configure VS Code notebooks for Python analysis with linting, Git commits, and a reusable project folder.
  • Compare Colab, local Jupyter, Anaconda, Kaggle notebooks, Databricks Community Edition, and cloud notebooks for learner scenarios.

Developer

In-demand programming languages lab pack

  • Use Python libraries such as requests, pandas, FastAPI, and pytest to call an API, clean a CSV file, expose a tiny endpoint, and prove behavior with tests.
  • Use SQL to filter, join, aggregate, window, and explain business data from multiple tables.
  • Use JavaScript and TypeScript libraries such as Express, Zod, fetch, and Vitest to build a small API or dashboard with validated data shapes.
  • Compare Java and C# package workflows by building simple service classes, JSON parsing, HTTP calls, tests, and error handling examples.
  • Use Go modules and Rust Cargo to create command-line utilities that check endpoints, parse structured data, and write useful logs.
  • Use Bash, PowerShell, Ruby, and PHP libraries or modules to automate local setup, API calls, file checks, configuration loading, and troubleshooting evidence capture.
  • Use R packages such as tidyverse, httr2, and testthat for statistical summaries, charts, data validation, and reproducible analytics evidence.
  • Run beginner command demos that create projects, install packages, execute scripts, and capture output.
  • Run professional command demos that add tests, linting, formatting, environment files, and reproducible setup notes.
  • Run expert command demos that check dependency security, build release artifacts, tag versions, and document rollback or update strategy.
  • Package a cross-language library demo portfolio with dependency files, install commands, import examples, validation output, security/version notes, and README instructions.

Data scientist

Mathematics for data science lab pack

  • Create a statistical profile showing centre, spread, shape, outliers, and missingness.
  • Compare normal, binomial, and Poisson distributions using practical analytics examples.
  • Run a hypothesis test and explain confidence interval, p-value, and practical significance.
  • Use vectors and matrices to explain features, weights, dot products, and model predictions.
  • Calculate regression residuals, mean absolute error, mean squared error, and R-squared.

Security

Cyber security operations lab pack

  • Design a least-privilege IAM model for administrators, developers, auditors, and CI/CD roles.
  • Create a cloud security monitoring checklist using logs, alerts, metrics, and evidence sources.
  • Write an incident response runbook for suspicious login, leaked key, ransomware, and data exposure.
  • Map controls to identity, network, encryption, vulnerability, backup, and detection layers.

Systems engineer

Systems management lab pack

  • Create a server and endpoint inventory with owner, patch state, backup state, and monitoring coverage.
  • Write a patch management runbook with pre-checks, rollback, validation, and maintenance-window communication.
  • Build a monitoring plan for services, disk, CPU, memory, failed logins, backup failures, and alert escalation.
  • Design an automation and compliance evidence checklist for recurring operational tasks.

Specialist

AI and machine learning lab pack

  • Prepare a dataset for model training with cleaning, feature creation, and train/test splitting.
  • Compare classification models using precision, recall, F1 score, and confusion matrix.
  • Design a retrieval augmented generation workflow for a trusted knowledge base.
  • Create an AI safety checklist covering grounding, privacy, evaluation, logging, and human review.

Professional network engineer

Cisco CCNP Enterprise lab pack

  • Design an ENCOR campus topology covering VLANs, trunks, EtherChannel, inter-VLAN routing, OSPF, and high availability.
  • Use Packet Tracer or Cisco Modeling Labs for switching, routing, NAT, DHCP relay, ACL, and troubleshooting drills.
  • Use GNS3 or EVE-NG for advanced routing labs with OSPF, EIGRP, BGP basics, redistribution, route maps, and filtering.
  • Capture and explain evidence with show commands, debugs, packet captures, syslog, NetFlow concepts, and change notes.
  • Build an ENARSI-style fault ticket set for neighbor adjacency, route selection, redistribution, IP services, and VPN symptoms.
  • Create a dual-stack campus worksheet covering IPv4, IPv6, neighbor discovery, DNS, ACLs, routing, and validation tests.
  • Build a BGP enterprise edge workbook with neighbor state, advertised prefixes, route filtering, path attributes, and failover evidence.
  • Create a Layer 2 resilience pack for STP root placement, EtherChannel consistency, VLAN pruning, trunk state, loop prevention, and failure testing.
  • Create a network assurance pack with baseline metrics, syslog events, flow records, telemetry notes, packet captures, and incident timeline.
  • Build a safe automation pack that uses inventory, JSON or YAML data, read-only collection, Git review, validation output, and rollback notes.

Service provider network engineer

MPLS and service provider lab pack

  • Draw CE, PE, and P router roles with loopbacks, IGP reachability, label-switched paths, and customer edge handoff notes.
  • Build an MPLS L3VPN topology in Cisco Modeling Labs, GNS3, or EVE-NG with VRFs, route distinguishers, route targets, and MP-BGP VPNv4 exchange.
  • Troubleshoot missing customer routes by checking IGP, LDP neighbors, label bindings, VRF routing tables, route targets, BGP next hop, and PE-CE routing.
  • Create a QoS and traffic engineering worksheet covering classes, marking, queuing, bandwidth guarantees, latency, jitter, and provider SLA language.
  • Write a migration plan comparing MPLS, SD-WAN, internet VPN, and cloud private connectivity with coexistence, rollback, monitoring, and customer communication.

Associate network engineer

Cisco CCNA foundation lab pack

  • Build a small office topology with VLANs, trunks, access ports, inter-VLAN routing, DHCP, DNS notes, and documented addressing.
  • Complete timed subnetting drills covering host counts, CIDR notation, usable ranges, summarization, and route selection.
  • Troubleshoot a broken path using OSI reasoning, interface state, MAC table, ARP, routing table, ACL, and packet evidence.
  • Create a CCNA readiness notebook with command outputs, topology screenshots, fault notes, fixes, and validation checks.

Foundation IT professional

CompTIA IT and security foundation lab pack

  • Create an A+ support ticket pack for hardware, operating-system, mobile, virtualization, security, and user-support scenarios.
  • Design a Network+ small-office topology with addressing, VLAN notes, Wi-Fi, DNS, DHCP, firewall rules, monitoring, and troubleshooting evidence.
  • Build a Security+ baseline covering identity, MFA, endpoint controls, malware response, encryption, logging, backups, and escalation paths.
  • Run Linux+ shell checks for users, permissions, processes, services, storage, network state, logs, packages, and scripted health evidence.
  • Create a Project+ delivery worksheet with scope, stakeholders, risks, communication plan, change log, acceptance criteria, and closeout evidence.

Container engineer

Docker container engineering lab pack

  • Write a Dockerfile for a small API with pinned runtime, dependency cache, non-root user, exposed port, health check, and clear startup command.
  • Build, tag, inspect, scan, and publish an image with registry digest, semantic tag, SBOM or dependency inventory, and rollback note.
  • Create a Docker Compose stack with app, database, network, named volume, environment file, health checks, and service dependency validation.
  • Troubleshoot container failures using logs, exit codes, inspect output, port checks, DNS tests, volume permissions, and resource constraints.
  • Create a Kubernetes handoff pack mapping image, command, ports, environment, secrets, volumes, probes, resource limits, and deployment evidence.

Security operations learner

Cisco cybersecurity operations lab pack

  • Analyze a suspicious DNS and TCP traffic sample with packet evidence, indicators, affected host notes, and escalation language.
  • Create an incident response timeline with detection, containment, eradication, recovery, lessons learned, and stakeholder update.
  • Map vulnerabilities and security controls across identity, endpoint, network, logging, segmentation, and response layers.
  • Write a SOC triage report that separates alert facts, assumptions, evidence, risk, action taken, and next recommendation.

Network automation and cloud network engineer

Cisco automation and cloud connectivity lab pack

  • Use Python to parse JSON or YAML network inventory and generate an interface, VLAN, route, or neighbor summary.
  • Call a REST API with Postman or Python and document request, response, authentication, errors, and retry behavior.
  • Design a hybrid cloud route path from branch to cloud workload with VPN/private connectivity, DNS, firewall, NAT, and monitoring evidence.
  • Build a Git-based network change workflow with review, validation, deployment, rollback, and post-change proof.

AI cloud engineer

Generative AI cloud engineering lab pack

  • Build a RAG assistant with trusted source grounding, vector search, citations, and answer evaluation.
  • Design an AI agent workflow with tool permissions, audit logs, failure handling, and human approval for risky actions.
  • Create an LLMOps scorecard for quality, groundedness, latency, safety, privacy, and cloud cost.
  • Write a prompt-injection and data-leakage threat model for an enterprise AI application.

Telecom cloud engineer

Telecom cloud and 5G lab pack

  • Draw a 5G service path from device through RAN, transport, core, edge, and cloud application.
  • Compare VNF and CNF deployment models with latency, scaling, observability, and failure tradeoffs.
  • Design a private 5G and MEC architecture for an industrial site with monitoring and security controls.
  • Create a telecom assurance checklist covering packet loss, jitter, latency, throughput, alarms, and automation actions.

Cloud systems engineer

Computer science for cloud lab pack

  • Trace a request through DNS, TLS, load balancing, application, cache, database, logs, and metrics.
  • Design an idempotent queue workflow with retries, duplicate handling, dead letters, and rollback evidence.
  • Compare indexing, transactions, replication, and partitioning choices for a production database scenario.
  • Create a capacity plan using latency, throughput, bottleneck, scaling, and cost assumptions.

Scientific and edge AI engineer

Scientific computing and edge AI lab pack

  • Create a reproducible scientific Python notebook with dataset notes, dependency file, charts, and conclusions.
  • Design a cloud batch, HPC, or GPU workflow with job limits, outputs, logs, cost controls, and cleanup.
  • Model an IoT telemetry path with MQTT, device identity, stream ingestion, time-series storage, dashboard, and alerting.
  • Build an edge AI deployment plan covering model update, rollback, latency, privacy, monitoring, and offline behavior.

Capstone projects

Complete project evidence learners can show to employers.

Enterprise Cloud Landing Zone

  • Architecture diagram
  • Account or subscription structure
  • Identity and access model
  • Network segmentation plan
  • Security logging and monitoring checklist
  • Cost governance and tagging policy

Production DevOps Platform

  • CI/CD pipeline design
  • Terraform module structure
  • Container deployment flow
  • Release approval and rollback plan
  • Observability dashboard outline
  • Incident response runbook

Analytics Insight Portfolio

  • Cleaned dataset summary
  • Python notebook outline
  • KPI definition sheet
  • Dashboard wireframe
  • Executive insight memo
  • Data quality improvement plan

Big Data Analytics Pipeline

  • Data lake architecture diagram
  • Batch and streaming pipeline plan
  • Spark transformation notebook
  • Data quality and lineage checklist
  • Cost and performance review
  • Business insight summary

Systems Management Runbook Portfolio

  • Systems inventory matrix
  • Patch management runbook
  • Monitoring and alert plan
  • Backup and restore validation checklist
  • Access and endpoint control notes
  • Compliance evidence report

Enterprise Network Lab Portfolio

  • Campus topology diagram
  • IP addressing and VLAN plan
  • Routing protocol design notes
  • Troubleshooting ticket evidence
  • Packet capture or command-output review
  • Automation inventory script outline

Programming Portfolio Toolkit

  • Python data automation script
  • SQL query notebook
  • TypeScript dashboard component
  • Go CLI health-check tool
  • Bash or PowerShell operations script
  • Language selection decision matrix

Secure AI Knowledge Assistant

  • RAG architecture diagram
  • Source approval checklist
  • Prompt and retrieval design
  • Evaluation scorecard
  • Privacy and safety controls
  • Deployment readiness plan

Telecom Edge and Private 5G Blueprint

  • 5G and edge architecture diagram
  • Private network service flow
  • VNF or CNF deployment notes
  • Latency and assurance checklist
  • Security and access model
  • Automation and cleanup runbook

Scientific Cloud Research Pipeline

  • Reproducible notebook
  • Cloud compute workflow
  • Dataset governance note
  • Simulation or analytics output
  • Cost and performance review
  • Research evidence summary

IoT and Edge AI Monitoring System

  • Telemetry architecture diagram
  • Device identity and certificate plan
  • Time-series dashboard outline
  • Edge inference deployment notes
  • Anomaly detection checklist
  • Operations and reliability runbook

ITIL Service Improvement Portfolio

  • Service value map
  • Incident and service request ticket pack
  • Problem RCA and known error record
  • Change enablement and release plan
  • SLA service review report
  • Continual improvement register

CompTIA Career Readiness Portfolio

  • A+ troubleshooting ticket pack
  • Network+ topology and addressing worksheet
  • Security+ control baseline
  • Cloud+ architecture and operations checklist
  • Linux+ command evidence
  • Project+ delivery and communication plan

Docker Production Container Portfolio

  • Application container requirements checklist
  • Production-ready Dockerfile
  • Docker Compose multi-service stack
  • Image registry and scan evidence
  • Runtime troubleshooting report
  • Kubernetes or cloud container handoff note

Cloud Role Specialist Portfolio

  • AWS developer or operations evidence pack
  • Azure Applied Skills implementation proof
  • Google Cloud challenge-lab validation record
  • Cloud security baseline and incident note
  • Cloud data or AI workflow review
  • Role certification remediation plan

Secure Release Portfolio

  • Threat model and abuse-case map
  • Secure-code review notes
  • Pipeline security gate design
  • SBOM and supply-chain evidence
  • Vulnerability remediation report
  • Secure release approval summary

SRE Reliability Portfolio

  • SLO and error-budget worksheet
  • Observability dashboard plan
  • Incident command timeline
  • Capacity and load-test report
  • Postmortem and corrective action plan
  • Reliability executive summary

Software Developer Portfolio Application

  • Requirements brief and user stories
  • Repository with branch and pull request history
  • Frontend and backend feature implementation
  • Database schema and API contract
  • Automated test and security checklist
  • Deployment, documentation, and retrospective evidence

Cloud Full-Stack Production App

  • Product requirements and cloud architecture brief
  • Responsive TypeScript frontend
  • Backend API contract and service implementation
  • Authentication, database, storage, and integration evidence
  • Automated tests, security checklist, and CI/CD pipeline
  • Deployment, monitoring, rollback, performance, and cost review

Web Design and Digital Marketing Campaign

  • Brand, audience, and positioning brief
  • Sitemap, wireframes, and responsive page design
  • SEO-ready content and metadata plan
  • Analytics, tagging, and conversion tracking plan
  • Social, email, and paid campaign calendar
  • Performance report and optimization recommendations

Runtime and Compiler Engineering Portfolio

  • Tiny language specification
  • Tokenizer, parser, and AST examples
  • Interpreter or bytecode virtual machine
  • Type, scope, and runtime error notes
  • Profiling, tracing, and optimization evidence
  • Security, packaging, and design tradeoff report

Business Operations and Growth Portfolio

  • Business model and market brief
  • Operating model and role map
  • HR lifecycle and workforce plan
  • CRM pipeline and customer success workflow
  • ERP resource planning process map
  • KPI dashboard, budget, risk register, and executive report

Professional architect library

Senior solutions architect modules for real enterprise decisions.

The new Cloud Professional Solutions Architect path covers landing zones, governance, hybrid networking, migration, resilience, security, FinOps, analytics, and executive design reviews across AWS, Azure, and Google Cloud patterns.

Open professional architect path
Landing zone blueprint with accounts, identity, networks, logging, policy, and workload boundaries
Migration decision matrix for rehost, replatform, refactor, retire, retain, and repurchase strategies
Disaster recovery workbook covering RTO, RPO, backup, pilot light, warm standby, and multi-region tradeoffs
Security architecture checklist for IAM, secrets, encryption, network segmentation, detection, and incident response
FinOps review template for rightsizing, reserved capacity, storage lifecycle, data transfer, and tagging
Executive design review script for business impact, tradeoffs, risks, and measurable success criteria

AI learner guidance session

Ask for the best path, next module, or exam preparation focus.

Watch how a learner question becomes a role-path recommendation, a practical next step, and evidence the learner can verify before using the assistant below.

AI learner guidance sessionAsk, route, practise, and prove the next stepAI LEARNER GUIDANCE SESSIONLIVE SIGNALguided replayGOALPATHNEXTAskRoutePractiseProveAsk, route, practise, and prove the next stepOWNED DASKEREL VIDEO-STYLE MOTION GRAPHIC

Optional voiceover / Narration

French audio requires a French voice installed in the browser or Windows. Until one is available, Daskerel will show the French transcript rather than read it with an English voice.

Recommendation

Use a role-first path

If you are new, start with AWS Solutions Architect, Azure Administrator, Google Cloud Engineer, or CompTIA foundations. If you already know cloud basics, choose a specialist path: AWS, Azure, or Google role specialist, Docker, DevOps, SRE, DevSecOps, cyber security, databases, data analytics, big data analytics, data product management, marketing digital data and IA, no-code product building, MLOps, deep learning, systems management, mathematics for data science, AI, machine learning, Terraform, CloudFormation/CDK, Kubernetes, or systems operations.

Learning impact layer

Built to change outcomes, not only deliver content.

Daskerel now frames learning around adaptive coaching, portfolio proof, interview readiness, role simulation, mentor oversight, community challenges, and safer real-cloud labs.

AI personal tutor

Learners can ask questions from any lesson and receive beginner, exam, job, or interview-style explanations.

Adaptive learning path

The platform turns assessment scores, target role, weekly time, weak domains, and lab results into a changing study route.

Portfolio and CV builder

Every module can become employer-ready proof instead of private notes: requirements, diagrams, screenshots, command output, runbooks, dashboards, GitHub links, interview stories, and generated CV drafts.

Career role simulators

Learners practise real work: outage response, secure landing zones, data pipeline incidents, AI governance, private 5G, and cloud cost reviews.

AI mock interview coach

Learners rehearse cloud, networking, security, data, AI, DevOps, and telecom interviews with scored answers and stronger response examples.

Global learner mode

Learners can switch explanations by language, simplicity, job role, exam focus, and confidence level.

Certification and job readiness score

Progress is measured across exam knowledge, lab skill, interview confidence, portfolio proof, and role readiness.

Community project challenges

Monthly challenges give learners public, practical work: secure apps, AI assistants, data pipelines, telecom edge designs, and incident reports.

Instructor and mentor dashboard

Mentors can assign paths, review weak domains, inspect lab evidence, and export readiness summaries for cohorts.

Cloud cost safety and cleanup engine

Real cloud labs stay safer with budgets, tagging, expiry, cleanup evidence, and provider-specific guardrails.

Learner voices

What learners build, prove, and improve with Daskerel.

Daskerel turns learner feedback into operating evidence. Until named learner stories have explicit publication permission, this section shows the outcomes learners across all 21 schools should experience: clearer next steps, practical proof, confident checkout, and fast improvement when friction appears.

Learner preparing cloud readiness evidence with guided platform dashboards

Sample learner voice / United Kingdom

Amina

The readiness passport makes study feel less confusing. I can see what to practise, what evidence to build, and what to explain in an interview.

Cloud Support Engineer

Sample learner voice / United States

Daniel

The lab evidence approach helped me think like an engineer, not only a test taker. Every task turns into something I can describe clearly.

AWS Solutions Architect

Sample learner voice / Brazil

Camila

The project builder gives structure to my portfolio. I know what to design, test, document, and improve before sharing it with employers.

DevOps Engineer

Sample learner voice / South Africa

Thabo

I like that evidence review and cleanup are part of the learning. It teaches security, cost awareness, and professional discipline together.

Cloud Security Analyst

Sample learner voice / India

Maya

The role path connects learning, notebooks, projects, and career outputs. It feels practical because every module points to proof.

Data and AI Engineer

Sample learner voice / France

Jean

The weak-objective recovery is motivating. Instead of feeling stuck after a mock exam, I can see the next lesson and lab to revisit.

Azure Administrator

Feedback theme

Clearer next steps

Learners should be able to see which track, module, lab, mock exam, or recovery task comes next instead of guessing their study route.

Platform proof: Readiness assessment, dashboard signals, weak-objective recovery, and study planner actions.

Feedback theme

Real proof, not only theory

Learners should leave with architecture notes, lab evidence, project records, and explanations they can use in interviews.

Platform proof: Evidence packs, lab cleanup notes, portfolio tasks, project builder, CV construction, and interview preparation.

Feedback theme

Confidence before checkout

Learners should understand the company, terms, support routes, learning path, and subscription value before payment.

Platform proof: Account-first workflow, legal centre, learner feedback routes, pricing clarity, and Stripe handoff controls.

Feedback theme

Support that improves the platform

Learner friction, bugs, ratings, language issues, and NPS-style signals should become management actions rather than disappearing into a mailbox.

Platform proof: Learner feedback page, admin feedback queue, repeated-issue dashboard, and service ownership.

Certification tracks

Search tracks built for real cloud and network engineering roles.

Filter by vendor, level, role, module, service family, or career target. Search terms such as CCNP, databases, security, AWS, Kubernetes, Python, or cloud architect will surface matching tracks and modules.

Showing 83 of 83 learning tracks

AWS

AWS Solutions Architect Associate

Associate

Design resilient, secure, cost-aware AWS architectures with VPC, IAM, compute, storage, databases, monitoring, and disaster recovery patterns.

SAA-C03 readinessArchitecture diagramsWell-Architected reviews

Matching module examples

AWS Certified Solutions Architect - Associate (SAA-C03) / IAM and Organizations / VPC design

Open material

AWS

AWS Cloud Engineering Specialist

Professional

Extend AWS architecture knowledge into hands-on developer, operations, security, DevOps, data, AI, and production support skills aligned to high-demand AWS role certifications.

AWS role certification readinessAWS implementation evidenceProduction cloud operations

Matching module examples

AWS Cloud Practitioner foundation materials (CLF-C02) / AWS AI Practitioner foundation materials (AIF-C01) / AWS Solutions Architect Associate role bridge (SAA-C03)

Open material

AWS / Azure / Google Cloud

Cloud Professional Solutions Architect

Professional

Prepare for senior cloud architecture work across multi-account landing zones, hybrid networking, migration, security, resilience, cost governance, data platforms, and executive design decisions.

Professional architecture readinessMulti-cloud designExecutive design reviews

Matching module examples

Cloud concepts, platforms, and core services / Cloud compute, containers, Kubernetes, and serverless / Cloud storage, databases, and data protection

Open material

Microsoft Azure

Azure Administrator

Associate

Prepare for Azure identity, governance, virtual networking, storage, compute, monitoring, and operational administration.

AZ-104 readinessAzure landing zone basicsOperations playbooks

Matching module examples

Microsoft Azure Administrator Associate (AZ-104) / Microsoft Cybersecurity Administrator Associate (SC-200) / Entra ID

Open material

Microsoft Azure / Power Platform

Microsoft Cloud Engineering Specialist

Professional

Build Microsoft cloud implementation depth across Azure development, security, DevOps, data engineering, monitoring, Power Platform automation, and Applied Skills-style project evidence.

Azure role certification readinessMicrosoft Applied Skills evidencePower Platform automation

Matching module examples

Microsoft Azure Fundamentals foundation materials (AZ-900) / Microsoft Security Compliance and Identity foundation materials (SC-900) / Microsoft Azure AI Fundamentals foundation materials (AI-900)

Open material

Google Cloud

Google Cloud Engineer

Associate

Build core GCP skills across IAM, networking, Compute Engine, GKE, Cloud Run, storage, databases, and operations.

ACE readinessGCP deployment practiceCloud operations confidence

Matching module examples

Google Associate Cloud Engineer / Projects and IAM / VPC networks

Open material

Google Cloud

Google Cloud Engineering Specialist

Professional

Deepen Google Cloud readiness across Cloud Developer, DevOps/SRE, Security, Network, Database, Workspace, Gemini, and Apigee-style API engineering paths.

Google role certification readinessSRE and security evidenceGoogle Cloud challenge labs

Matching module examples

Google Cloud Digital Leader foundation materials / Google Cloud Generative AI Leader foundation materials / Google Associate Cloud Engineer role bridge

Open material

AWS / Microsoft / Google / Oracle / Alibaba / IBM / CNCF / HashiCorp / CompTIA

Global Cloud Certification Library

Professional

Maintain a broad certification roadmap across major cloud providers, cloud-native platforms, infrastructure automation, security, data, AI, FinOps, and operations credentials.

Certification coverage mapProvider comparisonRole-based study routes

Matching module examples

AWS certification family map / Microsoft Azure certification family map / Google Cloud certification family map

Open material

Oracle Cloud Infrastructure

Oracle Cloud Infrastructure Engineer

Professional

Prepare for Oracle Cloud Infrastructure foundations, architect, operations, security, networking, database, data, AI, and multicloud roles.

OCI certification readinessOracle architecture evidenceDatabase and cloud integration

Matching module examples

OCI Foundations Associate / OCI Architect Associate / OCI Architect Professional

Open material

Alibaba Cloud

Alibaba Cloud Engineer

Professional

Prepare for Alibaba Cloud ACA, ACP, and ACE-style cloud computing, security, big data, networking, operations, and architecture readiness.

Alibaba Cloud certification readinessAPAC cloud architecture evidenceMulti-provider comparison

Matching module examples

Alibaba Cloud ACA Business User / Alibaba Cloud ACA Cloud Engineer / Alibaba Cloud ACA LLM Engineer

Open material

IBM Cloud / Red Hat

IBM Cloud and Red Hat OpenShift Engineer

Professional

Build hybrid cloud readiness across IBM Cloud, Red Hat OpenShift, containers, automation, security, data, AI, and regulated enterprise operations.

IBM Cloud readinessOpenShift certification bridgeHybrid cloud portfolio

Matching module examples

IBM Cloud fundamentals and account setup / IBM Cloud VPC compute storage and networking / IBM Cloud Kubernetes Service and Red Hat OpenShift

Open material

CNCF / Linux Foundation / Kubernetes

Cloud Native Kubernetes Certifications

Professional

Prepare for Kubernetes and cloud native certifications across administrator, developer, security, GitOps, observability, networking, service mesh, and platform engineering skills.

CKA CKAD CKS readinessCloud native lab evidencePlatform engineering portfolio

Matching module examples

Kubernetes and Cloud Native Associate / Certified Kubernetes Administrator CKA / Certified Kubernetes Application Developer CKAD

Open material

Showing 12 of 83 matching tracks

Paid access

Choose the plan that matches the learner or team.

Start with guided certification paths, realistic practice, and lab evidence. Before going to Stripe, learners can see who operates the company, what access includes, how renewal works, and where billing support sits if anything needs review.

Prices are shown in GBP, USD, and EUR. Checkout uses the learner country or region to select a configured Stripe price; GBP is used for UK or unspecified regions, and a missing USD or EUR price never falls back across currencies. UK consumer prices show the total including 20% VAT. Clearly labelled business quotes are VAT-exclusive. For other markets, Stripe shows the final tax-inclusive total before payment.

Compare all plans and add-ons
Membership access workflow showing plan selection, payment handoff, entitlement unlock, and lab allowances

Free AWS, Azure, and Google learning remains useful; Daskerel charges for guided multi-cloud structure, readiness proof, labs, and portfolio evidence.

Launch stays deliberately accessible for individual learners who need certification direction without committing to a high annual bill first.

Pro is priced for hands-on learners who need more live cloud lab allowance, capstones, interview preparation, and deeper review workflows.

Teams starts lower than an enterprise-only anchor and keeps final pricing flexible for seat count, lab budget, support, VAT/sales tax, and Stripe/payment fees.

Registered company: CLOUDFORGE ACADEMY LTD (17286354)

Company number 17286354

VAT registration number GB 523 5032 29

Registered office: 128 City Road, London, Greater London, EC1V 2NX

Billing support: billing@cloudforgeacademy.co.uk

Best entry

Launch Individual

£34.80 including UK VAT (£29 before VAT) / $39 before any applicable local tax; Stripe shows the final tax-inclusive total before payment / €39 before any applicable local tax; Stripe shows the final tax-inclusive total before payment

access month

UK totals include VAT; Stripe shows the final tax-inclusive amount before payment

Annual: £348 including UK VAT (£290 before VAT) / $390 before any applicable local tax; Stripe shows the final tax-inclusive total before payment / €390 before any applicable local tax; Stripe shows the final tax-inclusive total before payment

Affordable guided learning across every live digital school, with structured lessons, applied assessment, evidence tasks, and a clear route from study to practice.

Lab access included

Up to 6 live cloud lab sessions or 12 live cloud lab hours per access month after provider safety, budget, and smoke-test approval.

  • All 21 live digital schools, including technology, mathematics, science, engineering, law, business, finance, operations, and education
  • Level 3-7 academic pathways and career-stage cloud pathways with school-specific lessons and assessment
  • Unlimited guided notebook, IDE, simulator-compatible, and local evidence labs; third-party tools may require a separate licence
  • Up to 6 live cloud lab sessions or 12 live cloud lab hours after provider safety, budget, and smoke-test approval
  • Mock exams, explanations, and weak-domain review
  • Portfolio evidence tasks and guided lab notes
  • One-month, monthly, annual, and UK Direct Debit routes where available
Buy one-month access

Lab depth

Pro Learner

£58.80 including UK VAT (£49 before VAT) / $59 before any applicable local tax; Stripe shows the final tax-inclusive total before payment / €59 before any applicable local tax; Stripe shows the final tax-inclusive total before payment

access month

UK totals include VAT; Stripe shows the final tax-inclusive amount before payment

Annual: £588 including UK VAT (£490 before VAT) / $590 before any applicable local tax; Stripe shows the final tax-inclusive total before payment / €590 before any applicable local tax; Stripe shows the final tax-inclusive total before payment

For learners who need deeper applied projects and career proof across their chosen school, plus advanced writing, presentation, CV, interview, and export studios.

Lab access included

Up to 16 live cloud lab sessions or 32 live cloud lab hours per access month after provider safety, budget, and smoke-test approval.

  • Up to 16 live cloud lab sessions or 32 live cloud lab hours after provider safety, budget, and smoke-test approval
  • Advanced school-specific capstones, from cloud architecture to science, engineering, law, business, finance, operations, and education
  • Priority lab templates and deeper project evidence
  • Extra mock-exam attempts and review workflows
  • Academic writing and Word export, project presentation and PowerPoint export, evidence CV construction, and private interview rehearsal
  • Optional human project, writing, presentation, CV, and interview reviews remain separately priced add-ons
  • Annual pricing keeps the monthly equivalent below the listed monthly route
Choose Pro Learner

Team starter

Teams

£79+ / $99+ / €99+ excluding VAT or applicable tax; business quote

per named seat/month

Excludes VAT or applicable tax; final amount is confirmed in the business quote

Annual: £790+ / $990+ / €990+ excluding VAT or applicable tax; business quote

A more accessible team entry point for small cohorts, with custom quotes for larger teams, lab-heavy cohorts, and managed onboarding.

Lab access included

Team lab allowance is set by seat count, cohort plan, and agreed provider budget.

  • Named learner seats with team dashboards and cohort progress views
  • Manager readiness reports and skills evidence
  • Private learning paths and lab policies
  • Managed lab quotas, usage controls, and cleanup reporting
  • Starter pricing for smaller teams with volume and annual quote options
  • Custom onboarding, support, procurement, VAT/sales-tax, and invoice options
Explore Teams

Before Stripe checkout

A clear purchase path before payment details are entered.

Step 1

Create or sign in

Use one learner account email so progress, billing, and member access stay linked after payment.

Step 2

Choose the plan

Select Launch Individual, Pro Learner, or the Teams enquiry route before the payment handoff.

Step 3

Review checkout details

Confirm learner name, account email, country or region, renewal route, and terms before Stripe opens.

Step 4

Pay and unlock access

Stripe handles payment details, then Daskerel uses the webhook entitlement to unlock member access.

Subscription workflow

Subscription activates the selected plan benefits.

01

Create or sign in

Use a learner account to save progress, keep billing linked, and unlock member access after payment.

02

Choose a plan

Pick Launch Individual, Pro Learner, or Teams based on the learning support and lab allowance needed.

03

Subscribe or request setup

Individual learners pay through Stripe. Teams request setup before payment.

04

Member access unlocks

The active entitlement unlocks premium lessons, mock exams, labs, evidence workflows, and member resources.

Public pages remain available for preview. Full plan benefits unlock only after the learner has an active subscription entitlement.

Payment route comparison

The plan is the benefit package. The payment route controls renewal.

One-month pass

Payment: Pay once

Renewal: Does not renew automatically

Learners who want full control.

Monthly card

Payment: Card subscription

Renewal: Renews monthly until cancelled

Learners who want continuous access.

Annual card

Payment: Card subscription

Renewal: Renews yearly until cancelled

Learners who want the best self-serve value.

Direct Debit

Payment: Bank mandate

Renewal: Renews monthly until cancelled

Learners who prefer bank payment.

Premium access

Choose how to pay for premium access.

Use secure checkout to buy a one-month pass, start monthly card renewal, or set up UK Direct Debit through Bacs. Paid learners unlock full lessons, mock exams, readiness reports, and guided simulator/local labs. Live cloud allowances activate only after provider safety, budget, and smoke-test approval; some third-party simulators require a separate licence.

Pricing localizes to GBP, USD, or EUR from the selected country or region below. Launch is the accessible entry plan, Pro adds heavier lab and career support, and Teams starts with a lower named-seat anchor before custom quoting. Annual card gives 12 months for the price of 10. UK Direct Debit remains GBP-only because it requires a UK bank account.

Checkout currency: GBP

Use the same email for checkout, sign-in, subscription checks, billing support, and member access.

Account required before payment. Create an account or sign in, then return here to continue to Stripe with the same email.

Step 1

Account

Create an account or sign in before payment.

Step 2

Plan

Pro Learner is selected.

Step 3

Payment

One-month pass through Stripe.

Step 4

Access

Stripe confirmation unlocks member access through the entitlement check.

Payment route comparison

One-month pass

Pay once for 30 days of premium access.

Does not renew automatically.

Monthly card

Pay by card and keep access active month to month.

Renews monthly until cancelled.

Annual card

Pay by card once per year and keep premium access active.

Renews yearly until cancelled.

UK Direct Debit (Bacs)

Set up a Bacs Direct Debit for monthly premium access from a UK bank account.

Renews monthly until cancelled.

Checkout summary

Plan: Pro Learner

Amount and renewal: £58.80 including UK VAT (£49 before VAT) for one access month. Does not renew automatically.

Checkout currency: GBP

Access period: Access month

Renewal: Does not renew automatically.

Lab allowance: Up to 16 live cloud lab sessions or 32 live cloud lab hours per access month after provider safety, budget, and smoke-test approval.

Learner name: Enter the learner name.

Country/region: Enter country or region.

Learner email: Enter the email used for account, access, billing, and support.

After payment: Stripe confirms the payment, Daskerel creates the entitlement, and the member library unlocks for the signed-in account.

Sign inCreate account

Billing records open through Stripe after checkout creates a customer record for the signed-in account.

Contact

Talk to Daskerel about learning, labs, or team readiness.

Send a message to contact@cloudforgeacademy.co.uk for individual certification guidance, lab access, or memberships. Partnership and employer enquiries can go directly to partnerships@cloudforgeacademy.co.uk. Include the certification track or team goal you care about and the right follow-up can be shaped around it.

Learner guidance for AWS, Azure, Google Cloud, CompTIA, Docker, Cisco, Terraform, Kubernetes, SRE, DevSecOps, and AppSec paths.
Team conversations for cohorts, manager readiness reporting, lab quotas, and private learning paths.
Email directly

Messages go to info@cloudforgeacademy.co.uk. Default contact address: contact@cloudforgeacademy.co.uk.

Platform trust and accountable operation

Trust controls for a governed, paid learning platform.

Daskerel makes ownership, company and VAT identity, pricing, learner rights, privacy, content protection, accessibility, service operations, and professional boundaries visible across all 21 schools. Learners, teams, employers, and partners can see what is live, what evidence is retained, and where qualified human or regulatory approval is still required.

CLOUDFORGE ACADEMY LTD ownership, company number, VAT registration, intellectual property, and copyright notices
Privacy and data rights, terms, acceptable use, refunds, cookies, accessibility, content protection, and security reporting
Stripe paid memberships and separately priced human-review add-ons with signed webhooks, persisted entitlements, and billing access
Twenty-one live digital schools with Level 3-7 learning, school-specific assessment, projects, writing, presentations, CV, interviews, and careers
English and French narration, transcripts, keyboard controls, reasonable-adjustment routes, and private rehearsal boundaries
Governed cloud labs, simulations, evidence capture, quotas, expiry, cleanup, cost controls, and provider-independence notices
Owner and service-management controls for content quality, learner support, billing, security, incidents, maintenance, status, and audit evidence
Physical, clinical, legal, financial, regulated, safety-critical, accredited, and professionally approved activity remains explicitly authority-gated