Explore best practices for securing generative AI systems through practical cases at Secure AI Solutions, covering data protection, API security, regulatory compliance, and defending against adversarial attacks.
Securing GenAI Systems: Cloud, SDLC & Regulatory Compliance
Common Pitfalls, Advanced Threat Mitigation, GDPR & CCPA Ethics, Architecture Design | Final Project Included
Ngazi Zote • 16 Mihadhara • Ufikiaji wa Maisha Yote
Mwalimu Mkuu Aliyethibitishwa
trailer ya gari
Kutana na mwalimu wako: Dr. Amar Massoud
19 ms
5.0 / 5.0
Ukadiriaji wa Kimataifa1
Wanafunzi WatendajiKiingereza (Marekani)
Nukuu 99 za Lugha1 saa 28 dak
Jumla ya MaudhuiUtajifunza nini
Apply security best practices to protect Generative AI systems.
Identify and mitigate security gaps in AI deployments.
Design secure architectures for scalable and robust GenAI solutions.
Develop compliance frameworks aligned with GDPR, CCPA, and other regulations.
Maudhui ya Kozi
10 sehemu • 16 mihadhara • 01:28:33 urefu wa jumlaFoundations of GenAI Security (1)
06:43
Foundations of GenAI Security (2)
05:00
Apply access control and authentication to generative AI systems, enforcing least privilege and role-based access, with multi-factor authentication and IAM tools from AWS and Google Cloud, monitor via audit logs.
Securing GenAI in Cloud Environments (1)
06:26
Learn how cloud platforms secure generative AI with Google Safe and AWS generative AI Scoping Matrix, implement native security tools, and enforce identity, access control, monitoring, encryption, and key management.
Securing GenAI in Cloud Environments (2)
06:47
Mpango wa Masomo wa Kila Wiki
Panga safari yako ya kujifunza
AI hutengeneza ratiba ya kibinafsi kulingana na upatikanaji wako5 saa/wiki
Mahitaji
A basic understanding of Generative AI concepts is helpful but not required.
No prior cybersecurity experience is needed; all topics are explained in detail.
A willingness to learn and apply security principles in real-world scenarios.
Watazamaji Walengwa
AI engineers and developers looking to secure their AI systems.
Data scientists managing sensitive data in GenAI workflows.
Cybersecurity professionals expanding their expertise into AI security.
Tech leaders and managers responsible for secure AI deployments.
Kuhusu kozi hii
In a world where Generative AI systems are becoming integral to businesses, ensuring their security is more critical than ever. This comprehensive course is designed to equip you with the tools and knowledge to protect Generative AI (GenAI) systems effectively, balancing security, performance, and usability.
Learn how to safeguard sensitive data, defend against adversarial attacks, and secure APIs in cloud and on-premises environments. Explore industry best practices for securing AI development pipelines, managing compliance with regulations like GDPR and CCPA, and addressing ethical concerns such as bias and fairness. Dive deep into frameworks like Google SAIF and AWS Generative AI Scoping Matrix, and learn how to leverage cloud-native security tools to fortify your systems.
This course combines theory with hands-on exercises to give you practical experience. You’ll design secure architectures, configure access control policies, mitigate security gaps, and develop incident response plans tailored to GenAI systems. With our model company examples and templates, you’ll see exactly how these principles apply in real-world scenarios.
By the end of this course, you’ll be equipped to identify vulnerabilities, implement robust defenses, and ensure compliance while maintaining a seamless user experience. Whether you’re a data scientist, AI engineer, or security professional, this course will empower you to tackle the unique challenges of Generative AI security.
Take the next step in your career and build secure, scalable, and trustworthy GenAI systems. Enroll today to future-proof your AI expertise!
Fursa za Kazi na Majukumu Lengwa
Jenga ujuzi wa vitendo unaotakiwa kazini na uhitimu kwa nafasi zenye ushawishi mkubwa duniani
Mtaala Uliotayarishwa kwa Ajira
Majukumu ya Kazi Unayoweza Kuomba
Full Stack Software Engineer
Backend Systems Developer
Frontend Application Specialist
Automation & Scripting Engineer
Mshahara Unaokadiriwa kwa Mwaka
$90,000 – $145,000 / yr
Mahitaji ya Soko Ulimwenguni
High Global Tech Demand
Ujuzi Muhimu Utakaobobea* Makadirio yanatokana na vigezo vya kimataifa vya uajiri wa kiteknolojia.
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
Kutana na mkufunzi wako
Dr. Amar Massoud
Mwalimu Mkuu
PhD in computer science and IT manager with 36 years technical experience in various fields including IT Security, IT Governance, IT Service Management , Software Development, Project Management, Business Analysis and Software Architecture. I hold 80+ IT certifications such as :
ITIL 4 Master, ITIL 3 Expert
ISO 27001 Auditor, ComptIA Security+, GSEC, CEH, ECSA, CISM, CISSP, CISA
PGMP, MSP
PMP, PMI-ACP, Prince2 Practitioner, Praxis, Scrum Master
COBIT 2019 Implementor, COBIT 5 Assessor/Implementer
TOGAF certified
Lean Specialist, VSM Specialist
PMI RMP, ISO 31000 Risk Manager, ISO 22301 Lead Auditor
PMI-PBA, CBAP
Lean Six Sigma Black Belt, ISO 9001 Implementer
Azure Administrator, Azure DevOps Expert, AWS Practitioner
And many more....
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