AI and Machine Learning

AI Security Bootcamp: LLM Hacking Basics

(0 reviews)
Share icon
eDX

Preparing students for a future in artificial intelligence security, this course offers AI hacking, vulnerability discovery, and attack mitigating techniques.

Key AI Functions:artificial intelligence, network & security, it & development, ai & machine learning

Description for AI Security Bootcamp: LLM Hacking Basics

  • Fundamentals of artificial intelligence: Know the fundamental ideas and uses of this field.

  • AI Chatbot Vulnerabilities: Determine and evaluate AI chatbot vulnerabilities.

  • Hands-on Labs: Participate in useful AI chatbot hacking labs to obtain practical experience.

  • Mitigation of AI Attacks: Acquire tactics to prevent and lessen attacks based on artificial intelligence.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Udemy provided by Naveen Mahavishnu & Mohankumar Vengatachalam

Duration: 35m

Schedule: Flexible

Reviews for AI Security Bootcamp: LLM Hacking Basics

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for AI Security Bootcamp: LLM Hacking Basics

From fundamental concepts to advanced methods such as deep learning and ensemble techniques, this program provides a comprehensive examination of machine learning techniques.

#algorithms #unsupervised learning
Visit icon

Gain proficiency in the automation of software development processes through the utilization of generative artificial intelligence, AI-assisted programming, MLOps, and Amazon Web Services.

#gen ai #software development
Visit icon

Learn the skills necessary to operate, optimize, and implement large language models through practical experience with state-of-the-art LLM architectures and open-source resources.

#opensource #llm
Visit icon

Study the ethical consequences of AI development and implementation, emphasizing generative AI, AI governance, and pragmatic ethical decision-making in practical contexts.

#artificial intelligence #machine learning
Visit icon

A thorough grasp of artificial intelligence (AI) and machine learning, including its various forms, methods, and applications, is given in this course.

#artificial intelligence #data science
Visit icon

To enhance machine learning models, this course offers fundamental understanding of artificial intelligence, machine learning methods like classification, regression, and clustering.

#artificial intelligence #data science
Visit icon

To address OpenAI Gym challenges and real-world problems, this course offers pragmatic artificial intelligence methods like Genetic Algorithms, Q-Learning, and neural network implementation.

#artificial intelligence #data science
Visit icon

An extensive study of the applications of AI in marketing, ranging from competitive analysis to content optimization and conversion enhancement.

#artificial intelligence #digital marketing
Visit icon

A practical guide to the use of generative AI for the purpose of composing, refining, and planning, utilizing structured and context-driven inputs.

#reference cards #artificial intelligence
Visit icon