Sky States CyberSecurity with AI Program
Master AI-Driven Cybersecurity, Threat Detection & LLM Security
Master AI-driven threat detection, SOC automation, security AI agents, RAG for security intelligence, LLM and AI application security, adversarial AI, Python, cloud security, and AI governance through live instructor-led training, hands-on industry-oriented projects, mentorship, and career readiness preparation. Gain practical experience creating AI-powered security solutions while building an industry-ready portfolio and preparing for emerging career opportunities in cybersecurity and AI security.
- check_circle 4–6 Month Immersive Track
- check_circle Live Interactive Workshops
- check_circle 10+ Production-Grade Projects
- check_circle End-to-End Capstone Project
- check_circle Corporate Referral & Placement Prep
Average salary lift reported by Class of 2023 graduates.
Program Duration
4–6 Month Live Program
Learning Format
Live Interactive Training
Applied Security
10+ Labs & AI Security Capstone
Why Learn Cybersecurity with AI?
Cyber threats are growing faster than security teams can keep up. Attackers use AI to increase phishing, scouting and accelerate exploitation. Meanwhile organizations use LLMs and AI agents, which create ways for attackers to strike.
Security professionals who can use AI to defend and also protect AI systems are becoming very valuable. The Sky States Cybersecurity with AI Professional Program is made for IT and security professionals who want to learn hands-on skills in threat detection, security automation, agentic security workflows and the safety of AI-powered applications.
Learn to build AI-powered security tools to investigate and respond to threats faster and test and protect LLM applications from attacks while gaining project experience and a portfolio that shows your skills.
Cybersecurity with AI Program Overview
This is a project-focused program that teaches the tools and methods used to protect modern organizations with AI and to keep AI systems safe.
- check_circle Program Format: Live Instructor-Led Training
- check_circle Program Duration: 4–6 Months
- check_circle Projects: 10+ Industry-Oriented Projects
- check_circle Capstone: End-to-End AI Security Project
- check_circle Learning: Practical, Project-Based Training
Key Features
Earn Credentials That Showcase Your AI Security Skills
Complete the program and demonstrate your learning through professional credentials. Your certification and project portfolio can help demonstrate your knowledge of modern AI-driven cybersecurity technologies to employers and recruiters.
Certificate of Completion
Receive a Sky States certificate recognizing successful completion of the Cybersecurity with AI Professional Program.
Industry Framework Alignment
Master practices aligned with leading global security standards: MITRE ATT&CK, MITRE ATLAS, OWASP LLM Top 10, and NIST AI RMF.
Why Choose Sky States?
Industry-Oriented Learning
Learn practical defensive and offensive AI security tools and methodologies used by modern enterprise security teams.
Project-Based Training
Build 10+ hands-on projects and an end-to-end AI security capstone to develop practical implementation experience.
Modern AI & Security Stack
Work with Python, machine learning, generative AI, LLMs, LangChain, LangGraph, RAG, vector databases, SIEM/SOAR, and cloud deployments.
Career-Focused Preparation
Develop your security portfolio, prepare for technical and HR interviews, participate in mock interviews, and receive career guidance.
Mentor Support
Get direct guidance throughout the learning journey as you build tools and prepare for AI security career opportunities.
Practical AI Security Engineering
Learn how to build AI-powered security tooling, autonomous incident workflows, and robust defenses against prompt injection and model exploitation.
Right Program for Every Learner
SOC Analysts & Security Engineers
Supercharge alert triage, incident response, and threat hunting with autonomous AI agents and intelligent SIEM/SOAR workflows.
Software & ML Engineers
Learn to develop secure LLM applications, defend against prompt injection and data leaks, and build AI security tooling in Python.
Penetration Testers & Red Teamers
Master adversarial AI testing, AI red teaming techniques, and automated vulnerability reconnaissance using MITRE ATLAS.
Cloud & DevOps Professionals
Learn how AI security applications are containerized, deployed, and safeguarded with Docker across AWS, Azure, and GCP.
Risk, Compliance & IT Leaders
Understand AI governance, responsible AI implementation, and risk management based on the NIST AI Risk Management Framework.
Experienced IT Professionals
Transition your existing IT and networking expertise into high-paying cybersecurity and AI security specialist roles.
Note: Salary lift and placement statistics are based on verified career transition data compiled by our partner staffing network.
High-Demand Skill Matrix
AI & Machine Learning for Security
Understand how machine learning and generative AI are applied to detection, classification, and analysis in security operations.
AI-Powered Threat Detection
Apply anomaly detection and ML-based techniques to logs, network traffic, and endpoint telemetry to identify suspicious activity.
SOC Automation & Incident Response
Use AI to accelerate alert triage, investigation, enrichment, reporting, and response playbooks.
Security AI Agents & Autonomous Workflows
Learn how AI agents can reason, use security tools, and carry out multi-step investigation workflows with human oversight.
RAG for Threat Intelligence
Build knowledge-aware security assistants. Covers document ingestion, chunking, embeddings, vector databases, semantic search, retrieval, and response generation over threat reports, advisories, and internal runbooks.
LLM & Prompt Injection Security
Understand and defend against prompt injection, data leakage, insecure output handling, and other risks to LLM applications, aligned with the OWASP Top 10 for LLM Applications.
Adversarial AI & AI Red Teaming
Learn how AI models and applications are attacked and how to test them systematically, using frameworks such as MITRE ATLAS.
AI-Assisted Offensive Security
Use AI to support authorized reconnaissance, vulnerability analysis, and phishing awareness simulations in controlled lab environments.
AI Governance, Risk & Compliance
Understand AI risk management and responsible AI practices, including the NIST AI Risk Management Framework and emerging regulatory expectations.
Program Curriculum
01 Cybersecurity & AI Foundations expand_more
Understand core cybersecurity principles, the threat landscape, and how AI and machine learning are reshaping both attack and defense.
02 Python & Data Skills for Security Automation expand_more
Strengthen the Python skills needed to parse logs, call APIs, and build security automation and AI-powered tools.
03 Machine Learning for Threat Detection expand_more
Apply machine learning to security data to detect anomalies, malware indicators, and suspicious behavior.
04 Generative AI & LLM Foundations for Security expand_more
Understand generative AI, large language models, and their capabilities and limitations in security contexts.
05 Prompt Engineering for Security Analysts expand_more
Learn prompt design and reasoning techniques for log analysis, threat summarization, and investigation support.
06 RAG, Vector Databases & Threat Intelligence Assistants expand_more
Build retrieval-augmented applications that search and reason over threat intelligence, advisories, and internal security documentation.
07 Security AI Agents & Tool Calling expand_more
Design AI agents that use security tools and APIs to enrich indicators, query data sources, and run multi-step investigations.
08 LangChain, LangGraph & Multi-Agent SOC Workflows expand_more
Build orchestrated and multi-agent workflows for alert triage, incident investigation, and response, with human-in-the-loop controls.
09 AI-Driven SOC Operations & Incident Response expand_more
Integrate AI into SIEM, SOAR, and incident response processes to reduce analyst workload and improve response consistency.
10 AI-Assisted Offensive Security & Red Teaming expand_more
Use AI to support authorized penetration testing, vulnerability analysis, and phishing awareness exercises in controlled lab environments.
11 Securing LLM & AI Applications expand_more
Identify and mitigate risks such as prompt injection, data leakage, insecure plugins and tools, model abuse, and supply chain threats.
12 Cloud Deployment, AI Governance & Model Evaluation expand_more
Deploy AI security applications with Docker across AWS, Azure, and GCP, and apply governance, risk, and evaluation practices to keep them trustworthy.
13 Capstone Project expand_more
Apply the complete learning journey to an end-to-end AI security project that can be showcased through your portfolio and GitHub.
Technologies You Will Learn
Python • Machine Learning • Generative AI • LLMs • LangChain • LangGraph • RAG • Vector Databases • AI Agents • APIs & Tool Calling • SIEM & SOAR Concepts • MITRE ATT&CK • MITRE ATLAS • OWASP LLM Top 10 • NIST AI RMF • Docker • AWS • Azure • GCP
A Credential That Demonstrates Your AI Security Skills
Complete the Cybersecurity with AI Professional Program and build a credential profile supported by practical project experience and verifiable hands-on labs.
Sky States Certificate of Completion
Receive a certificate recognizing successful completion of the Cybersecurity with AI Professional Program.
Professional Portfolio & GitHub
Build an industry-oriented portfolio containing your AI security tools, detection pipelines, and capstone project.
Career Guidance & Placement Support
Developing technical skills is just the beginning. We provide complete career assistance to ensure you are interview-ready.
Resume & LinkedIn Optimization
Prepare your professional resume and LinkedIn profile to highlight your AI security skills, tools, detection projects, and certifications.
Industry-Ready Portfolio
Develop a GitHub profile and portfolio showcasing working detection models, security agents, and end-to-end AI security implementations.
Interview Preparation
Prepare for technical security scenarios, live tool assessments, and behavioral HR rounds with experienced practitioners.
Career Assessment
Receive personalized guidance on aligning your existing background with high-demand roles in cybersecurity and AI security engineering.
Recruitment & Application Assistance
Receive targeted recruitment assistance and referral access through our partner staffing network and industry connections.
Mock Interviews & Feedback
Participate in simulated technical interviews with actionable feedback to sharpen your problem-solving and communication.
Technical & HR Preparation
Comprehensive coaching for both core security engineering topics and executive behavioral discussions.
Interview Round Support
One-on-one mentorship before every interview round to review company tech stacks and tailor your approach.
Continuous Career Guidance
Ongoing guidance as you evaluate offers, negotiate terms, and navigate your trajectory in the AI cybersecurity market.
Build skills aligned with potential career paths such as:
Learning Methodology
Live Instructor-Led Sessions
Interactive real-time classes covering modern AI security, threat modeling, and defense.
Hands-On Security Labs
Controlled sandbox environments to test attacks, simulate incidents, and build defensive tooling.
10+ Industry Projects
Build practical security applications including automated alert triage, RAG intelligence, and prompt firewalls.
End-to-End Capstone
Consolidate your entire learning journey into an enterprise-ready AI security project.
Dedicated Mentors
Receive 1-on-1 code reviews, architectural advice, and guidance from seasoned security practitioners.
Portfolio & GitHub
Translate every lab and capstone into production-grade GitHub repositories to showcase your abilities.
Mock Interviews
Rigorous interview rehearsals replicating top tech company rounds for AI security roles.
Extended Resources
Ongoing access to recorded lectures, threat intelligence feeds, code repos, and community updates.
Frequently Asked Questions
How long is the Cybersecurity with AI Professional Program?
The program is designed as a 4–6 month professional program, with live instructor-led training and structured practical learning.
Who is this program designed for?
It is designed for IT professionals, SOC analysts, security engineers, network and system administrators, cloud and DevOps professionals, and software engineers looking to transition into or advance toward AI-focused cybersecurity roles.
Do I need prior cybersecurity or programming experience?
Basic IT knowledge and familiarity with programming concepts are helpful. The program includes foundational modules in cybersecurity, Python, and AI so learners can build up to advanced topics.
How many projects are included?
The program includes 10+ hands-on industry-oriented projects along with an end-to-end capstone project.
Will I build a portfolio during the program?
Yes. The program includes portfolio and GitHub development so your project work and capstone can be organized into an industry-ready portfolio.
Does the program cover both using AI for defense and securing AI systems?
Yes. You will learn to use AI for threat detection, SOC automation, and investigation, and also to identify and mitigate risks in LLM and AI applications.
Is the offensive security content ethical and legal?
Yes. All offensive techniques are taught in controlled lab environments for authorized testing and defensive understanding only.
Does the program include career support?
Yes. Career support includes career assessment, resume and LinkedIn optimization, portfolio assistance, interview preparation, mock interviews, recruitment/application assistance, and continuous career guidance.
Which technologies will I learn?
You will work with Python, machine learning, generative AI, LLMs, AI agents, RAG, vector databases, LangChain, LangGraph, Docker, AWS, Azure, GCP, SIEM/SOAR concepts, and security frameworks such as MITRE ATT&CK, MITRE ATLAS, OWASP LLM Top 10, and NIST AI RMF.
Does the program include certification?
Yes. The program includes a Sky States Certificate of Completion recognizing your mastery of cybersecurity and AI security principles.
Is a job guaranteed after completing the program?
No. The program provides career preparation, recruitment assistance, interview opportunities, and career guidance. Opportunities depend on your qualifications, skills, readiness, and available positions and do not constitute a guaranteed job offer.
Develop the Skills That Power the Future of Cyber Defense
The future of cybersecurity belongs to professionals who can defend with AI and secure AI.
Build practical skills in AI-powered threat detection, security automation, and LLM security through live training, real-world projects, mentor support, portfolio development, and career preparation.
Start Building Your AI Security Career Today
Develop the technical skills, practical projects, professional portfolio, and interview readiness needed to pursue the next generation of cybersecurity career opportunities.
Registration
Enrollment Fee
Your registration secures your seat, onboarding, and orientation into the Cybersecurity with AI Professional Program.
Register Now ($99)Regular Price
6 Month Program
Program Includes:
- check Live instructor-led training
- check 13 structured security & AI modules
- check 10+ hands-on industry projects
- check End-to-end AI security capstone project
- check Portfolio & GitHub development
- check Live project-based security labs
- check Mentor support & code reviews
- check Mock technical & HR interviews
- check Technical & HR interview preparation
- check Recruitment & application assistance
- check Extended / lifetime learning resources
- check Certificate of Completion
Important Disclaimer
Career and recruitment support is designed to help participants become interview-ready and connect with potential opportunities. Interview or recruitment opportunities are based on individual qualifications, skills, readiness, and available positions. Participation in the program does not guarantee a job offer or employment.
