GDPR & ePrivacy Compliance for Start-Ups: Templates, Consent Tracking, and AI-Driven Privacy-Ops
This comprehensive course is specifically designed for founders, product leaders, general counsels, CTOs, and operations managers in fast-moving start-up environments who must embed European data-protection requirements into product and operational lifecycles—without drowning in legal jargon or unnecessary overhead. If you …
Overview
This comprehensive course is specifically designed for founders, product leaders, general counsels, CTOs, and operations managers in fast-moving start-up environments who must embed European data-protection requirements into product and operational lifecycles—without drowning in legal jargon or unnecessary overhead. If you need to prove compliance from day one, win enterprise customers, avoid costly fines, and set up scalable privacy operations, this course is your complete guide.
Who Should Take This Course?
If your start-up processes personal data from EU, UK, or EEA individuals, or if you aim to attract enterprise clients with stringent contractual demands, this course is for you. It caters to:
- Founders and C-level executives who must operationalize privacy-by-design while balancing speed and regulatory risk
- Product managers and designers who build consent flows, user dashboards, and handle data mapping
- General counsels and legal officers responsible for policies, contracts, and vendor diligence
- CTOs and engineers who integrate technical controls, automate compliance, and manage audits
- Operations and compliance managers who coordinate teams, training, and incident response
What Will You Learn?
By the end of this course, you will be able to:
- Build a live data-map that satisfies GDPR Article 30 (Records of Processing Activities) and the ePrivacy Directive’s cookie rules, using AI to accelerate inventory and classification.
- Run a full Data Protection Impact Assessment (DPIA), document mitigations, and prepare for review by supervisory authorities—leveraging ready-to-use templates and AI-driven checklists.
- Collect, store, and retrieve user consents across web, mobile, and IoT platforms, ensuring you are audit-ready in seconds and can respond to data subject requests efficiently.
- Draft, negotiate, and operationalize Data Processing Agreements, Standard Contractual Clauses, UK IDTA, and Transfer Impact Assessments, even in a rapidly changing regulatory landscape.
- Integrate generative AI assistants to create privacy policies, incident reports, and automate data classification, while ensuring accuracy and controlling hallucination risk.
What Will You Get?
- Import-ready templates: DPIA, RoPA, consent-ledger schema, breach-notification playbook, and vendor assessment checklist.
- A curated prompt library for ChatGPT, Gemini, Claude, Mistral, and Azure OpenAI—tailored to legal tone, brand voice, or specific regulatory authority style.
- A “non-compliance cost” calculator to model administrative fines and commercial impact for management buy-in.
- A 7-day Privacy-by-Design roadmap for immediate integration into your sprint backlog or operational playbook.
Course Structure
The course consists of eight thematic modules and 52 focused lessons. Each lesson delivers a concise guide, a hands-on task, a short quiz, and an “AI accelerator” section, ensuring you understand both legal logic and practical implementation. Topics span from legal fundamentals and data mapping to contracts, incident management, and the latest AI-powered privacy-ops tools.
Why Take This Course?
- Cut through legal complexity—learn exactly what you need to launch, scale, and prove compliance without stalling product cycles.
- Gain confidence interacting with customers, investors, and regulators by mastering the documentation and processes that matter most.
- Build privacy controls that are lightweight, scalable, and ready for audit—using templates and automation to save months of work.
- Future-proof your organization for evolving laws like the Digital Services Act, Digital Markets Act, and post-Brexit UK GDPR/PECR.
- Leave with a complete document pack, AI-powered workflows, and a DPIA methodology that is repeatable, defensible, and investor-friendly.
Start Building Compliant, Trustworthy Products—Fast
No prior legal training required. Whether you’re launching your first product or entering new markets, this course gives you the legal, technical, and operational tools to embed privacy from day one and scale with confidence.
Curriculum
- 9 Sections
- 56 Lessons
- Lifetime
- 1. Legal Foundations8
- 1.1DZJV 1.1 GDPR Scope, Roles, and Lawful Bases
- 1.2DZJV 1.2 ePrivacy Directive vs. GDPR: Overlap and Conflicts
- 1.3DZJV 1.3 UK GDPR & PECR After Brexit
- 1.4DZJV 1.4 Digital Services Act and Digital Markets Act: Startup Implications
- 1.5DZJV 1.5 Personal, Anonymous, and Pseudonymous Data
- 1.6DZJV 1.6 Administrative Fines and Corrective Powers
- 1.7DZJV 1.7 Privacy by Design and Accountability Principles
- 1.8DZJV 1. Quiz3 Questions
- 2. Data Mapping & Risk Scoping8
- 2.1DZJV 2.1 Building a System Inventory
- 2.2DZJV 2.2 Data Classification by Sensitivity and Retention
- 2.3DZJV 2.3 Flow Diagrams for Collection, Use, Sharing, and Storage
- 2.4DZJV 2.4 Minimisation and Proportionality Techniques
- 2.5DZJV 2.5 Using LLMs to Spot Personal-Data Fields in Code Repos
- 2.6DZJV 2.6 Creating and Maintaining the RoPA under Article 30
- 2.7DZJV 2.7 Threat-Modelling with LINDDUN and STRIDE
- 2.8DZJV 2. Quiz3 Questions
- 3. DPIA Step by Step8
- 3.1DZJV 3.1 Triggers and Thresholds for a DPIA
- 3.2DZJV 3.2 Defining Purpose, Necessity, and Proportionality
- 3.3DZJV 3.3 Identifying Data Subjects and Potential Harms
- 3.4DZJV 3.4 Evaluating Security Measures and Residual Risks
- 3.5DZJV 3.5 Consulting the DPO and Supervisory Authority
- 3.6DZJV 3.6 Generating a DPIA Draft with an AI Template Engine
- 3.7DZJV 3.7 Annual Review and Continuous Monitoring
- 3.8DZJV 3. Quiz3 Questions
- 4. Consent & Preference Management8
- 4.1DZJV 4.1 Cookie Banners and ePrivacy-Compliant UX
- 4.2DZJV 4.2 Active Opt-In, Explicit Consent, and Children’s Data
- 4.3DZJV 4.3 Building a Two-Click Withdrawal Path
- 4.4DZJV 4.4 Designing a Consent-Ledger (Fields, Timestamps, Hashes)
- 4.5DZJV 4.5 CMP Integrations with Marketing and Analytics Stacks
- 4.6DZJV 4.6 AI Scripts to Localise Banner Copy
- 4.7DZJV 4.7 Testing and Proving Consent Validity
- 4.8DZJV 4. Quiz3 Questions
- 5. Contracts & International Transfers8
- 5.1DZJV 5.1 Data Processing Agreements: Mandatory Clauses
- 5.2DZJV 5.2 Standard Contractual Clauses (SCCs): Modular Approach
- 5.3DZJV 5.3 UK IDTA and Addendum
- 5.4DZJV 5.4 Transfer Impact Assessments After Schrems II
- 5.5DZJV 5.5 Binding Corporate Rules for Scale-Ups
- 5.6DZJV 5.6 AI Diff-Checker for Contract Redlines
- 5.7DZJV 5.7 SaaS Vendor Assessments and Record-Keeping
- 5.8DZJV 5. Quiz3 Questions
- 6. Operationalising Compliance8
- 6.1DZJV 6.1 Drafting a User-Friendly Privacy Notice
- 6.2DZJV 6.2 Handling Data Subject Requests Within One Month
- 6.3DZJV 6.3 BYOD, Remote Work, and Secure Channels
- 6.4DZJV 6.4 Logging Read/Write Events for Evidence
- 6.5DZJV 6.5 Staff Training and Micro-Certification
- 6.6DZJV 6.6 Automation Tools: OneTrust, Privado, n8n, Custom Scripts
- 6.7DZJV 6.7 KPIs for Privacy Programme and Investor Reporting
- 6.8DZJV 6. Quiz3 Questions
- 7. Incident Management & Audits8
- 7.1DZJV 7.1 Breach Taxonomy and Severity Scoring
- 7.2DZJV 7.2 72-Hour Notification Workflow to the Supervisory Authority
- 7.3DZJV 7.3 Communicating with Data Subjects: Tone, Timing, Transparency
- 7.4DZJV 7.4 RACI Matrix for Incident Response
- 7.5DZJV 7.5 AI-Generated Breach Reports with Structured JSON
- 7.6DZJV 7.6 Selecting an External Auditor and Sampling Strategy
- 7.7DZJV 7.7 Annual Audit Checklist and Improvement Loop
- 7.8DZJV 7. Quiz3 Questions
- 8. AI Tools for Privacy-Ops8
- 8.1DZJV 8.1 Prompt Framework: Role + Regulation + Output Format
- 8.2DZJV 8.2 Auto-Drafting Multi-Language Privacy Notices
- 8.3DZJV 8.3 LLM Chatbot for DSAR Triage and FAQs
- 8.4DZJV 8.4 Detecting Public Data Leaks via Vector Search
- 8.5DZJV 8.5 Balancing DPIA Risk with AI-Driven Productivity
- 8.6DZJV 8.6 Monitoring Veracity and Bias in AI Outputs
- 8.7DZJV 8.7 Governance Guardrails: Retention, Redaction, and Oversight
- 8.8DZJV 8. Quiz3 Questions
- DZJV FinalQuiz1