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This is a repository for the LinkedIn Learning course Fine-tuning LLMs for Cybersecurity: Mistral, LLaMa, AutoTrain, AutoGen

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Fine-tuning LLMs for Cybersecurity: Mistral, LLaMa, AutoTrain, AutoGen

This is the repository for the LinkedIn Learning course Fine-tuning LLMs for Cybersecurity: Mistral, LLaMa, AutoTrain, AutoGen. The full course is available from LinkedIn Learning.

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Course Description

Explore the emergent field of cybersecurity enhanced by large language models (LLMs) in this detailed and interactive course. Instructor Akhil Sharma starts with the basics, including the world of open-source LLMs, their architecture and importance, and how they differ from closed-source models. Learn how to run and fine-tune models to tackle cybersecurity challenges more effectively. Gather insights for identifying new threats, generating synthetic data, performing open-source intelligence (OSINT), and scanning code vulnerabilities with hands-on examples and guided challenges. Perfect for cybersecurity professionals, IT specialists, and anyone keen on understanding how AI can bolster security protocols, this course prepares you to embrace the synergy of AI for cybersecurity, unlocking new potentials in threat detection, prevention, and response.

Instructor

Akhil Sharma

Entrepreneur, Founder of Armur A.I.

Check out my other courses on LinkedIn Learning.

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This is a repository for the LinkedIn Learning course Fine-tuning LLMs for Cybersecurity: Mistral, LLaMa, AutoTrain, AutoGen

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