Introduction

In an era of increasing cyber threats and evolving data protection regulations, Privacy Engineering and Secure Development Practices are critical to safeguarding personal and organizational data. Training Course on Privacy Engineering and Secure Development Practices equips participants with the technical competencies, privacy frameworks, and secure coding standards necessary to build privacy-by-design applications. With a focus on real-world applications and threat modeling, learners will gain hands-on skills to engineer robust security measures from the ground up.

As data privacy becomes a cornerstone of digital trust, professionals in software development, cybersecurity, and IT compliance must stay ahead with proactive design techniques and secure development life cycle (SDLC) practices. This training merges the principles of GDPR, CCPA, and ISO/IEC 27701 with the latest in DevSecOps and zero-trust architecture, empowering teams to embed privacy in every layer of system development.

Programme Curriculum

Training Course on Privacy Engineering and Secure Development Practices

Introduction

Course Objectives

Understand the principles of privacy-by-design and privacy-by-default.
Apply secure coding practices across the software development lifecycle (SDLC).
Implement data minimization and encryption techniques.
Evaluate privacy risks using threat modeling and privacy impact assessments (PIAs).
Align development with GDPR, CCPA, and ISO 27001/27701 standards.
Integrate DevSecOps methodologies into agile and waterfall environments.
Develop automated privacy controls in CI/CD pipelines.
Use identity and access management (IAM) tools for secure authentication.
Build systems with zero trust architecture and least privilege access.
Conduct vulnerability scanning and penetration testing.
Document and manage consent and data subject rights in applications.
Create secure APIs using OWASP Top 10 best practices.
Analyze real-world data breaches and apply lessons in privacy engineering.

Target Audience

Software Developers
Security Engineers
IT Compliance Officers
DevOps Professionals
Privacy Officers
Risk Management Professionals
Product Managers
System Architects

Course Duration: 10 days

Course Modules

Module 1: Introduction to Privacy Engineering

Definition and principles of privacy engineering
Privacy-by-design vs. privacy-by-default
Legal landscape (GDPR, CCPA, HIPAA)
Privacy engineering lifecycle
Role of privacy engineers in modern development
Case Study: Designing a mobile app with GDPR compliance

Module 2: Secure Software Development Lifecycle (SDLC)

Overview of secure SDLC phases
Secure requirements engineering
Security touchpoints in design, coding, and testing
Integration of security in agile methodologies
Tools for secure development
Case Study: SDLC enhancement for a fintech startup

Module 3: Threat Modeling Techniques

Introduction to STRIDE and LINDDUN
Identifying data flows and attack surfaces
Privacy threat categories
Collaborative threat modeling workshops
Risk prioritization frameworks
Case Study: Threat modeling in a healthcare app

Module 4: Privacy Impact Assessments (PIA)

Definition and legal requirements
PIA process and templates
Identifying stakeholders and data processors
Mitigation strategies
Documentation and audit readiness
Case Study: PIA implementation in a government e-service

Module 5: Data Minimization and Anonymization

Importance of data minimization
Techniques for anonymization and pseudonymization
Use of differential privacy
Designing data retention policies
Tools for automated data redaction
Case Study: Anonymizing customer analytics for a retail chain

Module 6: Encryption Techniques and Key Management

Symmetric vs. asymmetric encryption
Best practices in key management
Secure data-at-rest and in-transit
Cryptographic protocols and libraries
Encryption regulations and export controls
Case Study: Encrypting sensitive PII in cloud databases

Module 7: Identity and Access Management (IAM)

IAM frameworks and standards (OAuth, SAML, OpenID)
Role-based access control (RBAC)
Multi-factor authentication (MFA) integration
IAM tools (Azure AD, Okta, Keycloak)
Least privilege enforcement
Case Study: IAM overhaul for an e-commerce platform

Module 8: Secure Coding Standards

OWASP Top 10 vulnerabilities
Secure coding in Java, Python, and JavaScript
Input validation and output encoding
Avoiding common cryptographic flaws
Static code analysis tools
Case Study: Remediating insecure code in a legacy app

Module 9: DevSecOps Integration

CI/CD pipelines with security gates
Container security with Docker and Kubernetes
Infrastructure as Code (IaC) security
DevSecOps toolchains (SonarQube, Checkmarx, GitHub Actions)
Security testing automation
Case Study: Securing DevOps pipelines in a SaaS company

Module 10: Secure API Development

API security risks and protection
OAuth 2.0 and API token strategies
Input validation and rate limiting
API gateways and WAFs
API lifecycle and versioning controls
Case Study: Building secure REST APIs for banking apps

Module 11: Privacy Governance and Compliance

Overview of privacy governance frameworks
Roles and responsibilities (DPO, CTO, CISO)
Documentation and audit requirements
Consent lifecycle management
Vendor and third-party risk assessments
Case Study: Compliance readiness for a multinational enterprise

Module 12: Secure Mobile and Web Development

Security challenges in mobile apps
Cross-platform vulnerabilities
OWASP Mobile Top 10
Secure session management
Mobile app encryption
Case Study: Securing mobile access to corporate CRM

Module 13: Incident Response and Breach Management

Data breach lifecycle and reporting
Role of the incident response team
Coordination with legal and PR teams
Breach containment and root cause analysis
Legal obligations and penalties
Case Study: Incident response to a phishing attack in a hospital

Module 14: Emerging Technologies and Privacy

AI and machine learning privacy challenges
IoT data security and compliance
Blockchain and decentralized privacy models
Cloud computing and shared responsibility
Biometric data protection
Case Study: AI model privacy in a retail loyalty program

Module 15: Final Capstone Project

Design a secure application from scratch
Conduct full threat modeling and PIA
Develop security policies and controls
Implement DevSecOps tools
Present and defend privacy engineering decisions
Case Study: End-to-end privacy engineering for a health tech startup

Training Methodology

Interactive live instructor-led sessions
Real-time hands-on lab simulations
Use of tools: Burp Suite, OWASP ZAP, SonarQube
Group discussions and peer reviews
Project-based assessments and certification

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Privacy Engineering Security IT Development Compliance

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000