Fine-Tuning LLMs for Cybersecurity: Mistral, Llama, AutoTrain, AutoGen, and LLM Agents

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Akhil Sharma

2:52:10

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1 Introduction

01 Introduction to LLMs and LLM agents f.mp4

00:47

02 Prerequisites of the course.mp4

03:02

03 What can be learned in this course.mp4

02:39

04 Google Colab and other important tool.mp4

03:59

05 How to make the most of this course.mp4

02:09

2 Open-Source LLMs and Why Theyre Important

06 GenAI a.mp4

05:30

07 Importa.mp4

03:44

08 Open so.mp4

04:21

09 Assets.mp4

04:00

10 Fine-tu.mp4

02:31

11 Challen.mp4

01:25

12 Solutio.mp4

03:53

3 LLMs and Cybersecurity

13 New evolving threats, power.mp4

03:10

14 Advanced attacks by hackers.mp4

03:05

15 How cybersecurity professio.mp4

02:03

16 Synthetic data generation I.mp4

02:11

17 Synthetic data generation C.mp4

03:33

18 Challenge Identify phishing.mp4

01:57

19 Solution Fine-tune LLMs wit.mp4

06:11

4 Code Vulnerability Scanning with LLMs

20 Introduction.mp4

02:25

21 Blockchains.mp4

03:35

22 Out-of-the-b.mp4

02:43

23 Fine-tuning.mp4

02:32

24 Training the.mp4

02:54

25 Inference an.mp4

02:30

5 OSINT with LLM Agents

26 Introduction to OSINT and ho.mp4

02:42

27 Introduction to agents and a.mp4

03:27

28 Agent frameworks and Crew AI.mp4

04:00

29 Planning the agents, their t.mp4

03:10

30 Setting up the project LLMs,.mp4

05:49

31 Finishing touches and analyz.mp4

04:37

6 Web Vulnerability Scanning with LLM Agents

32 Introdu.mp4

03:57

33 Plannin.mp4

03:40

34 Getting.mp4

06:25

35 Analyzi.mp4

05:17

36 Setting.mp4

04:18

37 Kicking.mp4

03:30

7 LLM-Powered Firewall

38 Introduction to LLM-powered f.mp4

02:33

39 Planning the approach.mp4

02:58

40 Network data gathering and st.mp4

04:11

41 Data preprocessing.mp4

03:32

42 LLM setup.mp4

03:33

43 LLM fine-tuning.mp4

03:07

44 Inference output and closing.mp4

02:13

8 The Future of Cybersecurity with LLMs

45 Threats of t.mp4

02:40

46 LLM powered.mp4

02:07

47 Decentralize.mp4

03:12

48 Swarm learni.mp4

02:52

49 Predictive s.mp4

02:52

50 Resources to.mp4

01:48

51 Keep up with.mp4

02:09

9 Conclusion

52 Summarizing the course.mp4

02:06

53 Key learnings, best practices, and part.mp4

02:36

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.

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Machine Learning

Akhil Sharma

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.