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The AI-Powered Cyber Security & Ethical Hacking course covers cybersecurity from fundamental concepts to advanced security practices. You’ll learn networking, Linux, Python for security, ethical hacking, penetration testing, threat detection and security automation through practical labs and security exercises. The course also covers Machine Learning, Generative AI, AI security, cloud security, security monitoring, handling cyber incidents, digital forensics and responsible AI practices.
We are variations of passages the have suffered.
Introduction to Cyber Security, CIA Triad, Types of Hackers, Cyber Kill Chain, Cyber Attack Lifecycle, Career Roadmap, Virtual Lab Setup, Linux VM Setup, Kali Linux Installation
OSI Model, TCP/IP, IP Addressing, Routing, Switching, DNS, DHCP, HTTP/HTTPS, Email Protocols, Windows Fundamentals, Linux Fundamentals, Bash Commands, Network Traffic Analysis
Python Fundamentals, Jupyter Notebook, Google Colab, Python for Automation, Pandas, NumPy, Matplotlib, Secure Data Handling, Python Security Libraries
AI, Machine Learning, Deep Learning, AI Lifecycle, Supervised Learning, Unsupervised Learning, Reinforcement Learning, AI Models, AI Development Workflow, Prompt Engineering, Hugging Face, Ollama, LM Studio, OpenWebUI
Data Collection, Feature Engineering, Data Processing, Model Training, Scikit-learn, Model Validation, Model Optimization, Model Deployment, Practical ML for Threat Detection, Network Intrusion Detection Model
Generative AI, LLM Fundamentals, Transformer Architecture, Prompt Engineering, System Prompts, RAG, Fine-Tuning Concepts, Agentic AI, LangChain, CrewAI, MCP (Model Context Protocol), AI Agents, Build a Security AI Assistant
Tokenization, Embeddings, Text Processing, Email Classification, Log Analysis, Phishing Detection, Security Chatbots
Footprinting, OSINT, Reconnaissance, Enumeration, Nmap, Wireshark, Vulnerability Assessment, Metasploit, Password Attacks, Web Application Security, OWASP Top 10, SQL Injection, XSS, Web Application Penetration Test
AI Reconnaissance, AI Scanning, AI-assisted Enumeration, AI Pentesting, AI-generated Exploit Scripts, AI-generated Reports, AI-assisted Phishing Simulation
Data Poisoning, Model Poisoning, Backdoor Attacks, Prompt Injection, Jailbreaking, Evasion Attacks, Model Theft, Membership Inference, OWASP Top 10 for LLMs, OWASP Top 10 for Agentic AI, Automated LLM Security Testing
MITRE ATLAS, MAESTRO Framework, Secure AI Architecture, Guardrails, LLM Guard, Guardrails AI, Llama Guard, LiteLLM, AI Gateway, MLflow, Arize Phoenix, Model Versioning, Access Control
Responsible AI, AI Ethics, Data Governance, Model Governance, NIST AI RMF, ISO 42001, EU AI Act, AI Risk Management, Compliance Frameworks
SOC Workflow, Threat Intelligence, SIEM, ELK Stack, Splunk, Wazuh, IOC Correlation, MITRE ATT&CK, UEBA, AI Log Analysis, Alert Triage, Incident Response, Malware Detection, AI-Powered SOC Investigation.
AWS Security Basics, Azure Security Basics, IAM, Cloud Threats, Python Security Automation, SOAR Concepts, API Integration, Security Automation Workflows, Automated Vulnerability Management
Memory Forensics, Disk Forensics, Windows Event Logs, Network Forensics, Incident Response Lifecycle, Malware Analysis, Threat Hunting,
Enterprise Penetration Testing, AI Threat Detection, SOC Operations, AI Governance, Cloud Security, Incident Response, Executive Reporting
Find clear answers to common questions about the Generative AI course, including coding requirements, practical learning, prompt engineering, AI tools, career applications, assignments, assessments, and the skills you can develop after completing the program.
Join 1,250+ learners and start your journey towards becoming an AI expert.