enthaltenThis course offers a comprehensive exploration into the crucial security measures necessary for the deployment and development of various AI implementations, including large language models (LLMs) and Retrieval-Augmented Generation (RAG). It addresses critical considerations and mitigations to reduce the overall risk in organizational AI system development processes. Experienced author and trainer Omar Santos emphasizes “secure by design” principles, focusing on security outcomes, radical transparency, and building organizational structures that prioritize security. You will be introduced to AI threats, LLM security, prompt injection, insecure output handling, and Red Team AI models. The course concludes by teaching you how to protect RAG implementations. You learn about orchestration libraries such as LangChain, LlamaIndex, and others, as well as securing vector databases, selecting embedding models, and more.
Empfohlene Erfahrung
Was Sie lernen werden
Explore security for deploying and developing AI applications, RAG, agents, and other AI implementations
Learn hands-on with practical skills of real-life AI and machine learning cases
Incorporate security at every stage of AI development, deployment, and operation
Kompetenzen, die Sie erwerben
- Kategorie: Large Language Modeling
- Kategorie: Security Controls
- Kategorie: Data Security
- Kategorie: LangChain
- Kategorie: Vulnerability Assessments
- Kategorie: Responsible AI
- Kategorie: Threat Modeling
- Kategorie: Application Security
- Kategorie: Security Testing
- Kategorie: Prompt Engineering
- Kategorie: Computer Security
- Kategorie: Secure Coding
- Kategorie: Open Web Application Security Project (OWASP)
- Kategorie: Generative AI
Wichtige Details
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September 2025
7 Aufgaben
Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.
In diesem Kurs gibt es 1 Modul
This module provides a comprehensive overview of generative AI security, covering threats and mitigation strategies for large language models and related systems. Topics include prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain vulnerabilities, sensitive information disclosure, insecure plugin design, excessive agency, overreliance, model theft, red teaming, and securing Retrieval Augmented Generation (RAG) implementations. Learners gain practical knowledge of industry frameworks, best practices, and tools to safeguard AI technologies in production environments.
Das ist alles enthalten
36 Videos7 Aufgaben
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Häufig gestellte Fragen
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
Weitere Fragen
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