
MICRO DEGREE
AI Agent Development for Cybersecurity
Build enterprise grade AI Agents for Cybersecurity in 6 weeks
100% LIVE Interactive Classes
Build enterprise grade AI Agents for Cybersecurity in 6 weeks

100% LIVE Interactive Classes
Reserve your spot today!
Basic Info
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Application closes on:27 Jun 2026
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What is in it for you?
100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
100% Moneyback Guarantee
Grab your slot before the offer expires
Reserve your spot today!
Basic Info
Select Offers
Application closes on:27 Jun 2026
Get instant access of pre-course material!
Talk to Us
We’re here to help! Reach us at:
Learn from Top 1%
Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

Combo Offers
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Available in 4 monthly installments at $224/month
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Curriculum
Duration: 6 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- Introduction to the Course - AI Agent & GenAI
- Why Machine Learning & Deep Learning is Still Relevant?
- Building Using GenAI
- Understanding the Future of Jobs
- Revisit Machine Learning
- Revisit Deep Learning
- Capstone Project - Building AI Mentor (AI Agent for Learning & Evaluation)
- What are AI Agents?
- Evolution of AI Agents (Chatbots to Autonomous Agents)
- Role of Large Language Models (LLMs)
- Understanding Multi-Agent Architectures
- Use Cases of AI Agents Across Industries
- Setting Up Your AI Agent Development Environment
Mentors

12+ Years, Ex-Amazon, Startup Founding Team

15+ Years, Cybersecurity Manager, Deloitte
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Tools Covered
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Basic understanding of cybersecurity concepts and threat landscapes
Familiarity with Python scripting and programming fundamentals
General awareness of APIs and how web services communicate
Basic knowledge of AI/ML concepts (helpful but not mandatory)
Outcomes
Build AI-powered agents for automated threat detection, analysis, and incident response in cybersecurity
Design multi-agent architectures that coordinate autonomous security operations across diverse data sources
Implement prompt engineering techniques to optimize large language model performance for cyber defense tasks
Develop AI-driven real-time security monitoring systems that triage and investigate alerts autonomously
Integrate AI agents with SIEM, SOAR, and endpoint detection tools for unified security operations
Analyse vulnerabilities using AI agents that scan systems and generate actionable intelligence reports
Build intelligent automation workflows for vulnerability scanning, patch management, and threat intelligence gathering
Implement responsible AI practices in cybersecurity including adversarial robustness, explainability, and ethical deployment
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
AI-Powered Vulnerability Analysis Agent
Build an AI agent using LangChain and OpenAI API that automatically scans systems, identifies vulnerabilities, and cross-references findings with threat intelligence databases via Pinecone. The agent generates prioritized, detailed remediation reports for security teams, incorporating severity scoring and contextual risk analysis.
Real-Time Multi-Agent Anomaly Detection System
Develop a multi-agent architecture that monitors network traffic, user activities, and system logs in real time. Leverage LangChain for agent orchestration, Pinecone for vector-based log similarity search, and n8n for automated response workflows that triage alerts, escalate incidents, and initiate containment actions.
Cybersecurity Threat Intelligence Knowledge Assistant
Create an AI-powered assistant that answers cybersecurity queries, synthesizes threat intelligence from multiple sources, and generates situational reports. Integrate the assistant with external APIs, internal knowledge bases via Pinecone, and apply prompt engineering best practices to deliver accurate, context-aware security guidance.

for successfully completing the 'AI Agent Development for Cybersecurity' course conducted from 15 May 2026 to 26 Jun 2026
Add a Industry Recognized
Certificate To Your Resume
Industry Recognized
Certificate
Learn the best from the best

Career Advancements
Elevate your career with a respected certificate

Industry Respect
Gain credibility in the field

Networking
Connect with experts and peers

Opportunities
Attract exciting job prospects and promotions


for successfully completing the 'AI Agent Development for Cybersecurity' course conducted from 15 May 2026 to 26 Jun 2026

100% Moneyback Guarantee
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Frequently Asked Questions
Everything you need to know about the course
You should have a basic understanding of cybersecurity concepts such as threat landscapes, common attack vectors, and security tools. Familiarity with Python scripting is also recommended, as hands-on labs involve writing and modifying Python code to build AI agents.
The course covers foundations of large language models, prompt engineering, multi-agent architectures, real-time threat monitoring, vulnerability analysis automation, integration with SIEM/SOAR/endpoint detection tools, threat intelligence gathering, and responsible AI practices for cybersecurity applications.
The course runs for 6 weeks. You should expect to dedicate approximately 8-10 hours per week, including video lectures, hands-on labs building AI agents, and working on capstone projects involving real-world cybersecurity scenarios.
You will build three industry-relevant projects: an AI-powered vulnerability analysis agent, a real-time multi-agent anomaly detection system, and a cybersecurity threat intelligence knowledge assistant. Each project involves deploying AI agents using LangChain, OpenAI API, Pinecone, and n8n for practical security automation.
This course prepares you for high-demand roles such as Security Automation Engineer, Threat Intelligence Specialist, Cybersecurity Analyst, and AI/ML Engineer in Cybersecurity. You'll gain practical skills in deploying AI agents for cyber defense, which is a rapidly growing specialization across industries.
You will work hands-on with Python, LangChain for agent orchestration, OpenAI API for leveraging large language models, Pinecone for vector database and retrieval-augmented generation, and n8n for building automated security workflows. These tools are widely adopted in modern AI-driven cybersecurity operations.
The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.
In this course instructors will use English language for teaching.
Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.
Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.
Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in AI Agent Development for Cybersecurity.
Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.
We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.
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