Securing AI Models Training in Sri Lanka
Securing AI Models Training in Sri Lanka
This training provides hands-on and theoretical knowledge for identifying and defending against security threats and attacks targeting AI/ML models.
Securing AI Models Training is a professional training program delivered by ProgNXT, a globally recognized corporate training provider. ProgNXT's Securing AI Models Training course in Sri Lanka equips professionals with industry-relevant skills through hands-on, instructor-led sessions. This training provides hands-on and theoretical knowledge for identifying and defending against security threats and attacks...
Expert Panel
Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications
ProgNXT AI & Data Science Expert PanelCourse Overview
Course Code: WYR77
21 Hrs
- Course Rating 4.9/5
Last Updated:
Overview
This training provides hands-on and theoretical knowledge for identifying and defending against security threats and attacks targeting AI/ML models. It covers vulnerabilities in model development, training, and deployment pipelines, and equips participants with practical tools and defensive strategies to safeguard AI systems across use cases.
Welcome to the official Securing AI Models Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in Sri Lanka. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.
Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.
Pre-Requisites
- Basic knowledge of machine learning concepts
- Understanding of data pipelines and model deployment
- Familiarity with Python programming
- Prior exposure to cybersecurity (optional but helpful)
What Skills It Will Add
- Identify security vulnerabilities in AI systems
- Simulate adversarial attacks and model theft scenarios
- Apply robust defense techniques and model hardening methods
- Use tools for attack detection, testing, and red teaming AI models
- Evaluate AI systems for security, privacy, and resilience
Course Outcomes
By the end of this course, participants will be able to assess, protect, and monitor AI models against real-world security threats using practical tools, secure design principles, and threat mitigation frameworks.
Securing AI Models Training Events in Other Locations
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