General terms

Access to DataNowKurs is available to individuals and organizations that can lawfully enter into binding agreements under Swiss law. Certain courses may require prior experience or completion of prerequisite modules; these requirements will be listed on course pages with scenario-based descriptions of intended learner profiles.

Learners must be at least 16 years old to enroll in our courses without parental consent. For minors, parental or guardian approval is required prior to account creation and participation in paid services.

Users must access the service for lawful, educational and professional purposes. Use of DataNowKurs for activities that facilitate wrongdoing, discrimination, or harm to others is prohibited. Practical exercises and case studies should be confined to provided lab environments or properly consented datasets.

Availability of certain courses or features may be restricted in some jurisdictions due to local regulations or partner limitations. Users are responsible for ensuring compliance with local laws when accessing DataNowKurs from abroad.

To use certain features, users must create an account and provide accurate information. Accounts enable personalized learning paths, progress tracking, access to lab environments, and participation in cohort case reviews.

Users are responsible for maintaining accurate account information. Correct details support meaningful scenarios and course placements that match your background and learning goals.

Keep your account credentials confidential. Notify DataNowKurs immediately if you suspect unauthorized access. We apply standard security measures to protect account data and system access.

Accounts are personal and non-transferable unless explicit written permission is granted by DataNowKurs for organizational or team license arrangements.

If you believe your account has been compromised, contact [email protected] immediately and follow the incident instructions provided. We will work with you to secure the account and review recent activity.

We reserve the right to suspend or restrict access to accounts where misuse, security risks, or violations of these terms are identified. Suspension may be temporary while an contribute is completed.

DataNowKurs provides online courses, hands-on labs and structured case studies focused on data pipelines, ML operations, model governance and AI workflow design. Service delivery includes recorded and live sessions, downloadable materials, cloud-based labs and community forums. Course descriptions on DataNowKurs.link outline included components, learning objectives, and scenario-based outcomes.

We may modify course content, schedule, features or technical integrations to reflect evolving best practices, partner platform updates, or improvements based on learner feedback. Substantial changes affecting enrolled learners will be communicated with practical guidance on next steps.

We strive for consistent access to learning content and labs but scheduled maintenance or third-party service outages may affect availability. Incident communications will include expected recovery timeframes and any alternative arrangements for time-sensitive cohorts.

When using DataNowKurs, you agree to follow these rules that support collaborative, practical learning environments and protect intellectual property and operational security.

• Do not use the platform to upload or distribute unlawful content, sensitive personal data without consent, or datasets that violate third-party rights.
• Respect others: do not harass, impersonate, or attempt to discover another user's credentials or private information.
• Do not attempt to reverse-engineer, decompile, or interfere with the platform, labs, or third-party integrations.
• Follow lab-specific safety and data handling instructions when working with case-study datasets or simulated environments.
• Comply with export controls and licensing restrictions when using or sharing software and models provided in course materials.
• Report vulnerabilities or suspected abuse to DataNowKurs promptly using designated channels.
• Do not use automated scraping tools to extract content from DataNowKurs.link without written consent.

Users may contribute content such as forum posts, project submissions, or sample code as part of course activities. Contributions support peer learning and case study development.

You retain ownership of content you create, subject to the rights you grant DataNowKurs below for delivery and educational use within the platform and affiliated learning activities.

By submitting content you grant DataNowKurs a non-exclusive, worldwide, royalty-free license to use, reproduce, display and distribute that content for course delivery, quality assurance, and anonymized case-study compilation. Where contributions form part of paid curriculum materials, specific licensing terms will be stated.

You are responsible for the legality, accuracy and provenance of any content you submit. Do not upload personal data of others or proprietary information you are not authorized to share.

Requests to remove user-contributed content will be considered; removal may be subject to retention obligations for academic records or ongoing cohort assessments. We will evaluate removal requests with reference to course integrity and legal obligations.

All platform content, course materials, and proprietary exercises provided by DataNowKurs are protected by intellectual property rights unless otherwise noted. Unauthorized copying, redistribution, or commercial use outside the terms is prohibited.

• Do not replicate or redistribute course content without explicit permission.
• Do not claim ownership of DataNowKurs-created case studies or official course curricula.
• Cite sources and respect third-party licenses when incorporating external code or datasets into assignments.

Some courses, certification paths and lab credits are offered as paid services. Paid services include instructor-led workshops, private cohort options, extended lab access, and curated dataset packages for scenario-based learning.

Pricing for paid services is stated on the relevant course or subscription page on DataNowKurs.link. Prices are listed in the currency shown at checkout and include the services specified in the product description.

Payments are processed by our payment provider(s) using secure industry-standard methods. Accepted payment methods are listed at checkout. You must provide valid billing information and are responsible for any taxes or fees applicable to your purchase.

Subscription services continue on a recurring basis until cancelled. Subscription terms, trial periods, and how to cancel are described on the subscription signup page. Cancellation takes effect according to the billing cycle and access rights set out at purchase.

Refunds, if available, are handled according to the specific course or program policy described at purchase. Refund assessments are conducted on a case-by-case basis and may consider course access, consumed lab credits, and administrative costs.

To cancel a paid service, follow the cancellation steps in your account dashboard or contact [email protected]. Cancellations do not remove obligations for fees already incurred for completed services.

Users are responsible for any local taxes, duties, or VAT applicable to purchases. DataNowKurs will indicate taxes during checkout where required.

We may change pricing for future subscriptions or courses but will provide notice for ongoing subscriptions and applicable renewal dates where required by the subscription terms.

Failure to pay may result in suspension of access to paid services. We may restrict access to ongoing labs and certificate issuance until outstanding amounts are settled.

Course materials and guidance are provided for educational purposes and based on industry practice, case studies and scenario analysis. Content is provided 'as is' and may be updated to reflect new techniques or regulatory considerations. Users are responsible for applying learning in their own environment with appropriate governance.

To the maximum extent permitted by law, DataNowKurs is not liable for indirect, incidental or consequential damages arising from use of the platform, course decisions made based on course materials, or inability to access services due to third-party outages.

Third-party tools, cloud providers, data repositories, or external instructors may be used to deliver parts of the training. You accept that DataNowKurs is not liable for the practices or performance of these third parties, though we document integrations and recommended controls in our scenario guides.

We may suspend or terminate services for breach of these terms, fraudulent activity, or legal obligations. Users may terminate their account in accordance with account settings and pending obligations for paid services.

Upon termination, access to course materials and labs may cease and account data may be archived or deleted in line with our retention policy. Certificates already earned remain subject to verification procedures.

Our privacy practices are set out in the Privacy Policy available on DataNowKurs.link/privacy. The policy explains what personal data we collect, how it is used for delivering scenario-driven learning, and how you can exercise your rights.

We will send operational messages about your account, course enrolment, and security. Marketing communications are subject to your preferences and can be managed via account settings or unsubscribe links.

We may revise these Terms; material changes will be announced on DataNowKurs.link and to affected learners where practical. Continued use after revision implies acceptance of the updated terms.

These Terms are governed by the laws of Switzerland. Any disputes arising from or related to these Terms will be subject to the exclusive jurisdiction of Swiss courts unless otherwise agreed in writing.

Before initiating formal proceedings, parties should attempt to resolve disputes through good-faith negotiation and, if needed, mediation. Users may contact our support team to begin an informal resolution process.