LSET’s AI in Cybersecurity Course offers a deep dive into the integration of artificial intelligence with core cybersecurity practices. This course is structured to deliver a strong foundation in AI technologies while applying them to real-world security challenges. You’ll gain both theoretical understanding and hands-on expertise in using intelligent systems to detect, analyse, and respond to cyber threats. Learn how AI is revolutionising threat detection, incident response, and predictive defence to stay ahead in an ever-evolving digital landscape.
Technologies Covered in This Course
TensorFlow is a leading open-source machine learning framework used to build and train AI models. In this course, you’ll use TensorFlow to create systems capable of recognising patterns and anomalies in cybersecurity data.
Scikit-learn provides simple yet powerful tools for data analysis and machine learning. You’ll use it for implementing classification, regression, and clustering models tailored to cyber threat identification.
Keras is a user-friendly deep learning API built on top of TensorFlow. It allows you to rapidly prototype neural networks for tasks such as intrusion detection and malware classification.
Pandas & NumPy are essential libraries for data manipulation and numerical analysis. They play a critical role in preparing, cleaning, and structuring cybersecurity data for model training and evaluation.
ELK Stack (Elasticsearch, Logstash, Kibana) is a powerful platform for log aggregation, search, and visualisation. You’ll learn how to use it to monitor network activity, identify anomalies, and detect potential intrusions.
Snort + AI Integration teaches you how to extend traditional intrusion detection systems with machine learning capabilities to increase accuracy and reduce false positives.
Hugging Face Transformers provide pre-trained natural language models that can be fine-tuned for cybersecurity applications, including phishing detection and threat intelligence analysis.
Jupyter Notebooks offer an interactive environment for writing and visualising machine learning workflows. You’ll use them to document your process and build explainable AI security solutions.
OpenCV enables image and video analysis using AI-perfect for tasks like visual anomaly detection in CCTV feeds or security footage.
Career Accelerator Program
Premium Career-Ready Track
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