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Beginner labs
Hands-on technical experience
Connect learning to cloud, data science, IDE, and Cisco networking lab environments.
This area defines practical lab access for cloud engineers, data analysts, data scientists, and network engineers using sandbox accounts, notebooks, IDEs, network simulators, packet analysis, and CCNP Enterprise study materials.
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.
7
Associate labs
10
Professional labs
4
Expert labs
Learner account required
Unlock the complete guided lab workspace.
The public catalogue explains available lab types, provider coverage, safety controls, and membership allowances. Detailed tasks, evidence checklists, saved progress, exports, and live sandbox actions require active Launch Individual, Pro Learner, or Teams access.
Sign in or create a learner account before accessing premium material.
Launch Individual membership
£34.80 including UK VAT (£29 before VAT) / month
One membership unlocks every live digital school, full course readers, answers, assessments, evidence tools, and included career support. Payment is completed securely through Stripe.
No paid access pass found.
Buy one month of access to unlock full lessons, mock exams, lab evidence workflows, and portfolio exports.
Public lab preview
- Compare beginner, associate, professional, and expert lab coverage.
- Review supported cloud, notebook, IDE, networking, and simulator environments.
- Understand expiry, cleanup, evidence, provider-cost, and fair-use controls.
- Sign in with active access before detailed instructions or learner evidence tools are rendered.
Included with one-month access
Labs are part of membership, with fair-use limits for live cloud sandboxes.
Simulator, notebook, IDE, Cisco, GNS3, EVE-NG, Wireshark, and local evidence labs are included as guided workflows. Live AWS, Azure, and Google Cloud labs include access-month allowances because they can create provider cost and must use expiry, cleanup, and cost controls.
Launch Individual
Included guided labs plus conditionally activated live cloud labs
Up to 6 live cloud lab sessions or 12 live cloud lab hours per access month after provider safety, budget, and smoke-test approval.
Unlimited guided simulator-compatible, notebook, IDE, and local evidence labs. Third-party tools such as Cisco Packet Tracer, GNS3, EVE-NG, and Wireshark remain subject to their own availability and licence terms.
Live AWS, Azure, and Google Cloud labs use expiry timers, cleanup checklists, cost guardrails, and may pause if usage looks unsafe.
Pro Learner
Higher lab allowance for deeper projects
Up to 16 live cloud lab sessions or 32 live cloud lab hours per access month after provider safety, budget, and smoke-test approval.
Everything in Launch Individual plus advanced capstones, hybrid networking, automation, data, AI, and security lab workflows.
Higher-usage labs still require provider limits, mandatory evidence capture, cleanup proof, and fair-use review.
Teams
Managed lab quota by cohort
Team lab allowance is set by seat count, cohort plan, and agreed provider budget.
Team dashboards, mentor evidence review, simulator labs, guided local labs, and managed cloud lab policies.
Admins get lab policies, quotas, cleanup reporting, stuck-lab review, and cost-risk controls before scale.
Planned live-lab capacity
3
Per learner
60
Concurrent total
20
AWS
20
Azure
20
Google Cloud
These limits protect learners and budgets. Actual provider capacity becomes available only after quota, budget, automated-cleanup, and smoke-test evidence is approved.
AWS Console / CloudShell
AWS
Use IAM Identity Center or short-lived lab roles with permission boundaries for each learner.
VPC design, S3, IAM, Lambda, ECS, CloudWatch, Terraform, CloudFormation, CDK deployments, Security Hub reviews, and architecture labs.
Connector configured / 1 target
Live evidence pending
Budget alerts and cost caps
Least-privilege lab role
Time-limited credentials
Automatic cleanup runbook
CloudTrail and billing evidence
Azure Portal / Cloud Shell
Microsoft Azure
Use Entra ID groups, sandbox subscriptions, role assignments, and Azure Policy guardrails.
Resource groups, RBAC, virtual networks, storage accounts, App Service, Monitor, Defender for Cloud, and policy labs.
Connector not configured
Live evidence pending
Sandbox subscription
Azure Policy deny rules
Budget alerts
Role-based access
Resource cleanup automation
Google Cloud Console / Cloud Shell
Google Cloud
Use dedicated learner projects, IAM conditions, organization policies, quotas, and budget alerts.
Projects, IAM, VPC, Compute Engine, Cloud Run, GKE basics, Cloud Storage, monitoring, and data/AI labs.
Connector not configured
Live evidence pending
Dedicated lab project
Quota limits
Budget alerts
IAM least privilege
Scheduled cleanup
Data science notebooks and IDEs
Practical toolchains for analytics, notebooks, and portfolio evidence.
Learners can start in browser notebooks, then move into a more professional local workflow with environments, Git, repeatable projects, and documented analysis.
Cloud notebook
Google Colab
Fast browser-based Python labs for pandas, NumPy, visualization, scikit-learn, and entry-level ML projects.
- Run a starter data cleaning notebook
- Connect notebooks to CSV files and Google Drive
- Train a simple classification model
Notebook IDE
Jupyter Notebook and JupyterLab
Core notebook workflow for local analytics, reproducible exploration, visual reports, and portfolio notebooks.
- Create a repeatable analysis notebook
- Export notebook evidence to HTML
- Document assumptions, data quality, and findings
Local data science suite
Anaconda Navigator
Beginner-friendly package and environment management for hands-on Python, R, notebooks, and desktop analytics tools.
- Create a conda environment
- Install analytics libraries
- Launch JupyterLab from a managed environment
Professional IDE
VS Code
Practical developer workflow for data analysts and data scientists using notebooks, Git, Python extensions, and project folders.
- Open and run a notebook in VS Code
- Commit analysis work with Git
- Organize notebooks, data, and source files
Hosted analytics workspace
Kaggle and Databricks Community Edition
Portfolio-friendly practice environments for public datasets, collaborative notebooks, Spark concepts, and dashboard-ready data work.
- Explore a public dataset
- Compare notebook runtimes
- Prepare a portfolio-ready project summary
Network tool integrations
Connect Packet Tracer, CML, GNS3, EVE-NG, Wireshark, and API tools to readiness evidence.
Daskerel does not need to host every simulator inside the browser. The stronger integration is a guided workflow: launch the right tool, complete the topology or ticket, capture evidence, and turn it into readiness proof.
Local simulator
Cisco Packet Tracer
CCNA subnetting, switching, routing, wireless, IoT, and beginner troubleshooting labs.
Learner installs locally, then opens guided Daskerel topology tasks and records screenshots/show-command evidence.
Workflow
- Download or recreate the starter topology from the lab brief.
- Configure VLANs, trunks, static routes, OSPF basics, DHCP, NAT, and ACLs.
- Export screenshots and command evidence into the lab evidence notes.
Evidence
- Topology screenshot
- Subnetting table
- Configuration notes
- Validation commands
Virtual Cisco lab
Cisco Modeling Labs
CCNP Enterprise, ENCOR, ENARSI-style routing, assurance, and realistic Cisco device behavior.
Learner opens CML externally, builds the assigned topology, and uploads command/evidence notes back into Daskerel.
Workflow
- Create an ENCOR or ENARSI topology with routers, switches, loopbacks, and failure tickets.
- Capture before-and-after route, neighbor, interface, and reachability evidence.
- Write a troubleshooting ticket with root cause, fix, validation, and prevention.
Evidence
- CML topology
- Show command output
- Fault ticket
- Assurance notes
Network emulator
GNS3
Advanced routing, mixed-vendor labs, route redistribution, filtering, VPN concepts, and reusable snapshots.
Learner runs GNS3 locally or on a lab VM and follows Daskerel advanced routing ticket briefs.
Workflow
- Build a reusable routing topology and save a clean baseline snapshot.
- Inject route filtering, redistribution, adjacency, or NAT faults.
- Record symptoms, control-plane state, fix steps, and validation.
Evidence
- Topology snapshot
- Routing table evidence
- Packet or debug notes
- Rollback plan
Network emulator
EVE-NG
Professional multi-node CCNP and hybrid-cloud networking labs with reusable lab images.
Learner uses EVE-NG externally and follows Daskerel scenario tickets for campus, WAN, and cloud-edge designs.
Workflow
- Create a campus, WAN, or cloud-edge topology from the lab brief.
- Test reachability, routing, filtering, segmentation, and monitoring signals.
- Save evidence before cleanup or snapshot reset.
Evidence
- Lab topology export
- Reachability matrix
- Route and ACL evidence
- Change review
Packet analysis
Wireshark
CCNA troubleshooting, SOC triage, DNS/TCP/TLS analysis, and packet-level proof for cloud/network incidents.
Learner captures or inspects provided traffic files and writes evidence summaries in Daskerel.
Workflow
- Capture or open a traffic sample connected to the lab scenario.
- Filter ARP, ICMP, DNS, TCP, TLS, DHCP, or suspicious traffic.
- Explain what the packets prove and what they do not prove.
Evidence
- Packet filter notes
- Protocol explanation
- Incident timeline
- Screenshot evidence
Automation toolkit
Postman and Python
CCNA Automation, DevNet-style API practice, JSON/YAML workflows, validation, and rollback evidence.
Learner uses local Python, VS Code, Git, or Postman to complete API and automation briefs.
Workflow
- Create a structured JSON or YAML inventory.
- Call an API, inspect responses, handle errors, and summarize state.
- Commit the workflow and document validation plus rollback steps.
Evidence
- API request and response
- Script or collection
- Git commit
- Validation report
Cisco networking lab tools
Simulation, emulation, packet capture, and CLI practice for network engineers.
These tools support CCNA foundations and deeper CCNP Enterprise practice, including campus design, routing, troubleshooting, assurance evidence, cybersecurity triage, and automation workflows.
Network simulator
Cisco Packet Tracer
Beginner-to-intermediate routing, switching, subnetting, wireless, IoT, and CCNA-style topology practice.
- Build VLANs, trunks, and inter-VLAN routing
- Configure static routing, OSPF basics, DHCP, NAT, and ACLs
- Troubleshoot port, addressing, and routing failures
Cisco virtual lab
Cisco Modeling Labs
Cisco-focused virtual lab environment for deeper CCNP Enterprise topologies and realistic device behavior.
- Model an ENCOR campus network
- Practise OSPF, EIGRP, BGP basics, NAT, and first-hop redundancy
- Record command evidence for troubleshooting reviews
Multi-vendor emulator
GNS3 and EVE-NG
Advanced network emulation for CCNP-level routing, route redistribution, filtering, VPN concepts, and mixed-vendor practice.
- Build advanced routing tickets
- Test redistribution and route-map behavior
- Create reusable topology snapshots
Packet analysis
Wireshark
Traffic inspection and protocol learning for ARP, DHCP, DNS, TCP, TLS, routing symptoms, and application troubleshooting.
- Capture ARP, ICMP, TCP, DNS, and DHCP flows
- Explain packet evidence in a troubleshooting report
- Compare symptoms at Layer 2, Layer 3, and Layer 4
Engineer workstation
PuTTY, SecureCRT, OpenSSH, and terminal tools
Hands-on CLI access, device notes, command history, terminal logging, and professional troubleshooting workflow.
- Create a show-command evidence checklist
- Log a troubleshooting session
- Build a reusable device access profile
CCNP Enterprise material
Professional Cisco preparation for ENCOR and concentration planning.
Cisco currently describes CCNP Enterprise as a professional certification earned through a core exam and one Enterprise concentration exam. This library gives learners the structure for ENCOR readiness, ENARSI-style advanced routing, and specialization planning.
Open CCNP Enterprise track350-401 ENCOR blueprint map: architecture, virtualization, infrastructure, assurance, security, and automation
ENCOR campus design workbook covering VLANs, trunks, EtherChannel, inter-VLAN routing, OSPF, NAT, ACLs, and high availability
ENARSI advanced routing ticket set for OSPF, EIGRP, BGP basics, redistribution, route maps, filtering, VPN concepts, and IP services
Network assurance pack covering syslog, SNMP concepts, NetFlow, telemetry, packet captures, and troubleshooting evidence
Automation starter labs using Python, REST concepts, JSON, YAML, Git, and Ansible-style device fact collection
Concentration planning guide for ENARSI, design, SD-WAN, wireless, and automation-focused CCNP Enterprise routes
Lab lifecycle
01
Learner subscribes and receives active entitlement
02
Learner selects a provider and lab
03
Platform creates or assigns a sandbox environment
04
Learner receives temporary instructions and scoped access
05
Lab progress and evidence are recorded
06
Cleanup removes resources and records cost/security evidence
Cost safety and cleanup engine
Real cloud learning needs guardrails learners can trust.
The next lab layer should make cost, expiry, cleanup, and remaining-risk evidence visible before and after every sandbox session.
Budget estimate before lab launch
Mandatory resource tags for learner, lab, provider, and expiry
Expiry timer and cleanup checklist
Destroy lab button for learner-controlled cleanup
Provider cleanup evidence with deleted resources, retained logs, and remaining cost risk
Admin view for stuck labs, failed cleanup, and unusual spend