Overview What You Will Learn Curriculum Instructor

Course Overview

The "Generative AI for Social Engineering" course offers an in-depth exploration of how Generative AI and Large Language Models (LLMs) can be used to simulate, detect, and prevent social engineering attacks.  

This hands-on course covers the creation of phishing emails, spear-phishing simulations, and the development of AI-driven impersonating chatbots using advanced tools like RAG and vector databases. You’ll also learn how to gather and analyze data from online sources to assess phishing risks, build voice and video clones, and generate detailed risk assessment reports for your organization. Through practical examples, case studies, and best practices, this course equips you with the knowledge and skills to defend against the growing threat of social engineering attacks using the power of Generative AI.  

Whether you're an experienced cybersecurity professional or someone interested in AI-driven security solutions, this course will prepare you to stay ahead of modern cyber threats.

What You Will Learn

  • Understand core concepts and applications of Generative AI and Large Language Models.
  • Learn to create Retrieval Augmented Generation (RAG) applications with vector databases.
  • Explore types of social engineering attacks like phishing, whaling and vishing.
  • Use Generative AI to craft phishing and spear-phishing attacks.
  • Develop a chatbot that mimics human interaction to gather sensitive information.
  • Automate social media data extraction and analyze for phishing vulnerabilities.
  • Learn to create voice and video clones using AI.
  • Build a risk assessment report for your organization using Gen AI and RAG.
  • Create RAG applications to detect phishing attempts.
  • Learn to implement best practices for preventing social engineering attacks.

Program Curriculum

  • Overview of Generative AI
  • What are Large Language Models?
  • Prompt Engineering and Prompt Constructs
  • Chapter 1 Quiz

  • Overview of RAG Applications
  • Vector Databases
  • Developing a Simple RAG Application
  • Chapter 2 Quiz

  • What is Social Engineering?
  • How Gen AI Can Help Prevent Social Engineering Attacks?
  • Chapter 3 Quiz

  • Applications and Use Cases
  • Simulating Phishing Attacks
  • Chapter 4 Quiz

  • Impersonating Chatbot as a Simulation
  • Developing the Impersonating Chatbot
  • Chapter 5 Quiz

  • Developing a Facebook Post Analysis Automation Using LLM
  • Analyzing Phishing Susceptibility from Facebook Pages
  • Chapter 6 Quiz

  • How Cyber Hackers Use Voice Cloning?
  • Hands-on: Developing a Voice Clone Using AI
  • Chapter 7 Quiz

  • How Cyber Hackers Use Video Cloning?
  • Hands-on: Developing a Video Clone Using AI
  • Chapter 8 Quiz

  • Hands-on: Creating the Risk Assessment Report
  • About Creating the Risk Assessment Report
  • Chapter 9 Quiz

  • Hands-on: Develop the RAG for Detecting Phishing Emails
  • About How to Detect Phishing Emails
  • Chapter 10 Quiz

  • About Social Engineering Prevention with the Application of AI
  • Chapter 11 Quiz
Load more modules

Instructor

Manas Dasgupta

Manas holds an MSc in AI-ML from Liverpool John Moores University (LJMU), UK. His expertise includes Generative AI (RAG application development using frameworks like LangChain and LlamaIndex), Machine Learning, Data Science, and Predictive Analytics, with a focus on techniques such as Supervised and Unsupervised Learning, Deep Neural Networks, and Clustering.

His research focuses on Natural Language Processing (NLP) using Deep Learning methods like Siamese Networks, Encoder-Decoder techniques, and Language Embeddings (e.g., BERT).

With over 20 years of experience in IT, primarily in Financial Services, Manas has developed solutions for top banks and institutions, including Natwest, ANZ, KBC, Visa, and Experian.

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