Data Science and AI/ML for InfoSec Professionals
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Download the course syllabus. Program duration - 4 Days, Live Online
Orbus International Program Highlights
Course Description
Course Insight
This training provides a quick overview of data science, statistics, machine learning, probability, and AI. Through brief discussions and 30 hands-on labs, students gain practical, intuitive insights to tackle real-world problems. Designed as an apprenticeship-style course, it guides beginners to a journeyman level in AI.
Perfect for those who are new to data science or machine learning who want to apply AI techniques!
Prerequisites
- All concepts are explained with Python examples, therefore an intermediate understanding of Python is recommended.
- If you have written a few Python scripts, your skills should be adequate.
- A properly configured computer system is required to properly participate in this course.
- If you're ready to embrace the challenge, this course is a great fit for you!
WHO SHOULD ATTEND?
- Professionals wanting to apply data science principles to real-world challenges.
- Infosec professionals aiming to understand machine learning.
- Anyone who has struggled to translate problems into machine learning solutions.
- Blue team and SOC members looking to detect anomalies and engage in custom threat hunting.
- Cybersecurity professionals who are willing to add machine learning, data science, and AI skills to their expertise.
Target Audience
- IT/network specialists enhancing security with AI.
- Data scientists applying AI to cybersecurity.
- Threat analysts detecting threats with AI/ML.
- Security engineers integrating AI/ML solutions.
- Incident responders using AI/ML for mitigation.
- Cybersecurity professionals adding AI/data science skills.
- Blue team/SOC members using AI/ML.
- Students learning data science for cybersecurity.
Syllabus
Acquisition, Cleaning and Manipulation of Data | ||
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Data Exploration and Statistics | ||
Fundamentals of Machine Learning: Trees, K-Means & Forests | ||
Fundamentals of Machine Learning: Deep Learning | ||
Fundamentals of Machine Learning: Autoencoders | ||
Fundamentals of Machine Learning: Functional Models and Deployment |
WHAT YOU WILL LEARN?
Data Science, AI, and Machine Learning are now essential tools in cybersecurity. However, without a background in math or data science, many rely on vendors. This course simplifies machine learning and data science, dedicating over 70% of class time to hands-on problem-solving. In this course, you will not only grasp how these techniques work but also learn to analyze and prepare your data for application of AI and machine learning effectively.
This course emphasizes addressing and solving real-life cybersecurity issues through a hands-on and practical method. Unlike others that lean heavily on theory or oversimplify concepts, it strikes a perfect balance by teaching essential mathematics and fundamentals to effectively use machine learning tools—without requiring you to perform complex calculations. Through applied projects, you’ll gain a solid foundation to create and troubleshoot machine learning solutions while building a deep understanding of AI tools like ChatGPT. Perfect for those who want to leverage AI for real cybersecurity problems and discuss its potential intelligently.
BUSINESS TAKEAWAYS
- Fabricate insightful and practical visualization dashboards.
- Address challenges using neural networks effectively.
- Enhance the efficiency, impact, and success rate of cybersecurity initiatives.
- Develop tailored machine learning solutions to meet your organization’s unique requirements.This course equips you for the GMLE certification.
WHAT YOU WILL RECEIVE?
- Jupyter Notebooks: Access to all lab materials with complete solutions.
- Sample Data: Datasets designed to address real-world cybersecurity challenges.
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Start Date | End Date | Start - End Time | Batch Type | Training Mode | Batch Status | |
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2025-01-17 | 2025-01-20 | 19:00 - 23:00 IST | Weekend | Online/Offline | [ open ] |
Why Choose 1-on-1 Training
- Focused attention and face to face instructor support
- Custom Calendar & Training Schedule
- Highly interactive environment
- Learn via labs, mock tests, case studies, Q&A sessions
- On-spot doubt clearing opportunity
- Interview Support and Free Career Guidance
Choose Your Preferred Learning Mode
1-TO-1 TRAINING
Customized schedule
Learn at your dedicated hour
Instant clarification of doubt
Guaranteed to run
ONLINE TRAINING
Flexibility, Convenience & Time Saving
More Effective
Learning Cost Savings
CORPORATE TRAINING
Anytime, Anywhere – Across The Globe
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At Your Own Pace
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Why Cybersec Trainings?
Expertise and Reputation
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Industry-Relevant Curriculum
Certification and Career Advancement
Certified & Experienced Instructors
FAQs
What is the course about?
The course focuses on using data science, AI, and ML techniques to enhance cybersecurity practices, such as detecting threats and automating security processes.
Can I interact with instructors and other students during this course?
Yes, the course typically includes Q&A sessions, discussion forums, with instructors, and group projects for networking and collaboration with your peers.
What will I learn in this course?
Data analysis, threat detection, and applying AI/ML to automate cybersecurity processes.
Is there any certification upon completion?
Yes, participants will receive a certificate of completion upon successfully finishing the training and any associated assessments or projects.
What can I expect after completing this training?
After completing the training, you will have a solid understanding of how to apply AI and machine learning techniques to tackle present-day cybersecurity challenges and improve your career opportunities in the field in roles like cybersecurity data scientist, threat analyst, and AI/ML security engineer.