AI Security Bootcamp: LLM Hacking Basics
Preparing students for a future in artificial intelligence security, this course offers AI hacking, vulnerability discovery, and attack mitigating techniques.
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
Pricing for AI Security Bootcamp: LLM Hacking Basics
Use Cases for AI Security Bootcamp: LLM Hacking Basics
FAQs for AI Security Bootcamp: LLM Hacking Basics
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
Enhance your software development career with Gen AI. Develop hands-on, in-demand Generative AI skills to elevate your software engineering game in one month or less.
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.
Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.
Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.
Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.
Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.
Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various LLMs.
Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.
Set up for a profession in machine learning. To become job-ready in less than three months, acquire the skills and practical experience that are in high demand.
Featured Tools
An overview of machine learning for business applications is provided in this course, which instructs participants on the development and utilization of ML models with BigQuery.
Learn to use Python and libraries for data tasks, understand key machine learning techniques, and apply them to real-world datasets for a strong research foundation.
The course outlines a comprehensive curriculum aimed at equipping learners with technical skills in back-end development, covering various programming systems, portfolio development, and interview preparation.
The course introduces Google Cloud fundamentals for transforming business models with data, ML, and AI, targeting those interested in cloud AI/ML impacts on business without requiring prior experience, and excludes hands-on technical training.
Understand the technical aspects, implementation steps, benefits, and cost structure of CodeWhisperer.