40 steps: AI-Powered Cyber Defense: Mastering Machine Learning in Security (L03) - Charles

$159.00

Master AI-Driven Cybersecurity in a 4-Hour Live Workshop!

Join this immersive course to learn how to apply AI and ML techniques to real-world cybersecurity challenges. You’ll build and integrate AI models for anomaly detection, threat intelligence, and automated response systems. Led by cybersecurity expert, this workshop is perfect for professionals and enthusiasts eager to enhance their skills in AI-driven security. Don’t miss out on this opportunity—limited seats available at a special rate! Sign up today!

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This workshop provides a hands-on experience in applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to real-world cybersecurity scenarios. Participants will explore various use cases such as anomaly detection, threat intelligence, and automated response systems. The course is designed for cybersecurity professionals and enthusiasts who want to enhance their skills and knowledge in AI and ML

ONLINE LIVE WORKSHOP

DURATION: 4 hours

The workshop starts on October 12th at 11AM EDT / 8AM PDT / 5PM CET


THE LIVE ONLINE WORKSHOP IS NOW AVAILABLE AT THE PRE-SELLING DISCOUNT. THE FIRST 5 SEATS ARE AVAILABLE AT THE SPECIAL PRICE OF 199 USD INSTEAD OF 399 USD.


Course benefits:

What skills will you gain?

  • Implementing AI and ML models for cybersecurity applications
  • Using Python and relevant libraries for data analysis
  • Developing automated threat detection systems
  • Integrating AI tools into existing cybersecurity frameworks

Why take it NOW?

The increasing sophistication of cyber threats demands advanced techniques for detection and prevention.
AI and ML are at the forefront of cybersecurity innovation.
Hands-on experience with practical use cases will provide an edge in the cybersecurity field.


 


YOUR INSTRUCTOR: Charles Saroufim

Experiencing 6+ years of programming courses deliveries. Trainer in industrial software development programs. Coordinator and supervisor for master students in diverse universities.

Head of Research & Development Department.

Areas of expertise include web development, python, java, security and hacking, application development, AI, algorithms.

As a coach, I have worked with teams, individuals and leadership on their programming skills transformations, both large and small. I believe that the most important piece of any transformation is to build the skills in the teams to build and continuously improve the process.

As an instructor, I am all about successful material delivery and digestion for my students. I turn their concerns and difficulties into success chances and opportunities through interaction, support and follow-ups.

Another fact is turning students with doubts and lack of confidence into strong programmers that will be able to face any challenge and accomplish tasks successfully.

IT project manager and technical consultant with experience of 4 years in a foundation called “Skaff Foundation”. As an accomplished technical consultant, I possess a comprehensive skill set and expertise that enable me to deliver exceptional results in the field. With a strong background in technology and a deep understanding of industry trends, I am well-equipped to provide valuable insights, strategic guidance, and innovative solutions to my clients. My extensive experience in technical consulting has allowed me to successfully navigate complex projects, collaborating with diverse teams and stakeholders to achieve optimal outcomes. I excel in analyzing client requirements, identifying areas for improvement, and developing tailored strategies that align with their business goals. My proficiency in various technical domains, including software development, system architecture, and IT infrastructure, enables me to provide comprehensive and reliable recommendations to address clients' challenges. I am adept at translating complex technical concepts into easily understandable terms, allowing me to effectively communicate with both technical and non-technical stakeholders. Furthermore, I continually stay abreast of the latest advancements and emerging technologies, ensuring that I remain at the forefront of industry developments. This commitment to ongoing learning and professional growth empowers me to provide cutting-edge solutions and anticipate future challenges for my clients. In addition to my technical expertise, I possess excellent problem-solving skills, a keen attention to detail, and a collaborative approach. I thrive in dynamic environments, adapting quickly to changing requirements and effectively managing project timelines and resources. Overall, my track record of delivering successful outcomes, combined with my technical prowess, strategic mindset, and strong interpersonal skills, position me as a highly proficient technical consultant capable of driving impactful results for clients across diverse industries.

 

 


LIVE WORKSHOP SYLLABUS


Module 1

Foundations of AI and ML in Cybersecurity

Steps to take:

  1. Introduction to AI and ML concepts
  2. Overview of the role of AI in cybersecurity
  3. Key terminologies and frameworks
  4. Tools and libraries for AI in cybersecurity
  5. Setting up the environment
  6. Data collection and preprocessing techniques
  7. Introduction to supervised and unsupervised learning
  8. Practical examples of AI in threat detection
  9. Case study discussion
  10. Q&A session

Module 2

Anomaly Detection with Machine Learning

Steps to take:

  1. Overview of anomaly detection techniques
  2. Building a simple ML model for anomaly detection
  3. Training the model using a cybersecurity
  4. Validating the model's accuracy
  5. Real-time threat detection using the model
  6. Integrating the model into a cybersecurity system
  7. Case study: Detecting network intrusions
  8. Practical exercise: Developing a threat detection model
  9. Analyzing the results
  10. Q&A session

Module 3

Building Automated Response Systems with AI

Steps to take:

  1. Introduction to automated response systems
  2. Using ML for decision-making in response systems
  3. Developing a simple automated response system
  4.  Integrating AI with existing cybersecurity tools
  5. Case study: Automated response to phishing attacks
  6. Practical exercise: Implementing an AI-driven response
  7. Testing the response system
  8. Fine-tuning the response mechanism
  9. Case study discussion
  10. Q&A session

Module 4

Advanced Threat Intelligence with Deep Learning

Steps to take:

  1. Overview of deep learning in cybersecurity
  2. Implementing deep learning models for threat intelligence
  3. Analyzing cyber threat intelligence data
  4. Case study: Predicting cyber attacks using deep learning
  5. Practical exercise: Building a deep learning model
  6. Advanced techniques: Reinforcement learning in cybersecurity
  7. Integrating advanced AI with cybersecurity infrastructure
  8. Evaluating model performance
  9. Future trends in AI for cybersecurity
  10. Final Q&A and wrap-up

 


QUESTIONS? 

If you have any questions, please contact our eLearning Manager at [email protected].

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