Course Overview:
This course will be fast paced with in-depth and live demonstrations.
Date/Locations:
Duration: 1 day
Course Objectives:
Prerequisites:
Latest comments from students
Certified Offensive AI Security Professional (COASP) validates the competencies required for practitioners who need to demonstrate offensive AI security skills, emulating adversaries, validating defenses, and leading red-team/blue-team exercises to keep AI resilient, reliable, and auditable
The Certified Offensive AI Security Professional (COASP) equips you to identify and neutralize AI-specific threats before attackers do. And Bridges security, engineering, and data science so controls exist across the full AI life cycle.
Participants will gain hands-on experience to perform end-to-end adversarial testing and deliver defensive validation evidence including the ability to simulate adversarial AI kill chains, Harden AI architectures by secure system prompts, context windows, tool integrations, RAG pipelines, and agent memory, Conducting AI security assessments aligned to MITRE ATLAS, OWASP LLM/ML Top 10, NIST AI RMF, and DoD Test & Evaluation practices , This course covers how to build SOC-ready capabilities for AI-focused detection logic, incident playbooks, and forensic procedures , & how to execute prompt injection, adversarial prompting , Assess AI supply-chain risk , Implement defensive engineering controls and Produce assurance and compliance artifacts.
By the end of the course, learners will be well-prepared to take the Certified Offensive AI Security Professional (COASP) exam and demonstrate the ability to exploit vulnerabilities in LLMs and agents, and build defense that survive real world attacks, learners will master offensive techniques that break AI before the attackers do.
Course Outline:
01. Offensive AI and AI System Hacking Methodology
02. AI Reconnaissance and Attack Surface Mapping
03. AI Vulnerability Scanning and Fuzzing
04. Prompt Injection and LLM Application Attacks
05. Adversarial Machine Learning and Model Privacy Attacks
06. Data and Training Pipeline Attacks
07. Agentic AI and Model-to-Model Attacks
08. AI Infrastructure and Supply Chain Attacks
09. AI Security Testing, Evaluation, and Hardening
10. AI Incident Response and Forensics
Prerequisites:
TN-412: Artificial Intelligence Essentials (AI|E)
Dates/Locations:
Course Overview:
Getting started with the Elastic Stack (ELK), optimizing search performance and building efficient clusters. Ingest and process data, writing complex search requests and response utilization, scaling of clusters up or down, managing indices in large clusters and multiple clusters, management of clusters and troubleshooting recommendations.
Attendees to TN-430: Elasticsearch Engineer (ELK) will receive TechNow approved course materials, expert instruction, and prepare you to take ELK exam.
Dates/Locations:
Duration: 5 Days
Course Outline:
Data Management
Searching Data
Developing Search Applications
Data Processing
Cluster Management
Latest comments from students
TechNow,Inc is an Accredited Training Center. As an ATC we are authorized to conduct EC-Council curriculum courses. Students will receive official EC-Council Curriculum and access to iLabs and when applicable access to EC-Council Cyber Range.
Here are the EC-Council course offerings:
TechNow offers many courses that also have a related certification exam. As an Authorized Peason VUE testing center, we offer exams for many certifications. Pearson VUE offers exams for a wide array of certifications that includes the IT certs of Cisco, EC-Council, CompTIA, and SANS.