Cybersecurity Specialization: AI Risk Management Framework Training in Kazakhstan

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 2 Days
  • Price: From USD 2,395
  • Upcoming Date:
  • UK & Türkiye Based Global Training Provider
Exclusive - Learn to navigate global AI risk and regulatory frameworks with confidence and clarity.

As artificial intelligence becomes increasingly embedded in critical systems, managing its risks is no longer optional—it’s essential. This two-day, hands-on course is designed to equip AI practitioners, cybersecurity professionals, risk managers, and compliance leaders with the tools and frameworks needed to navigate the complex landscape of AI risk. Participants will explore the structure and application of the NIST AI Risk Management Framework (AI RMF), compare it with global standards such as the EU AI Act and Saudi Arabia’s NCA AI & Data Governance Framework, and learn how to apply these principles to real-world scenarios.

Through a blend of expert-led instruction, interactive activities, and case-based exercises, learners will gain practical experience in identifying, assessing, and mitigating AI risks such as bias, explainability, and data privacy. The course emphasizes ethical governance and regulatory compliance, guiding participants in designing unified risk strategies that align with international standards. Whether you're building AI systems or overseeing their deployment, this course offers a comprehensive foundation for responsible and secure AI implementation.



Who Should Attend?

This course is designed for AI practitioners, risk managers, cybersecurity professionals, compliance officers, policymakers, and organizational leaders involved in the development, deployment, or oversight of AI systems.

We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

  • Participants should have a foundational understanding of AI systems and basic knowledge of risk management or cybersecurity principles.
  • Familiarity with regulatory concepts or frameworks (such as GDPR or NIST CSF) is helpful but not required.

What You Will Learn

  • Identify key risks associated with AI systems, including bias, explainability, privacy, and robustness.
  • Describe the structure and components of the NIST AI Risk Management Framework (AI RMF).
  • Compare global AI governance frameworks, including the EU AI Act, NIST AI RMF, Saudi NCA AI Framework and OECD AI Principles.
  • Explain how AI risk categories (e.g., high-risk, unacceptable risk) are determined under the EU AI Act.
  • Analyze the alignment and divergence between NIST AI RMF, Saudi NCA AI Framework and the EU AI Act in addressing AI risk.
  • Apply NIST AI RMF functions (Map, Measure, Manage, Govern) to real-world AI use cases.
  • Evaluate AI governance strategies for ethical alignment and regulatory compliance.
  • Design a unified AI risk management strategy that addresses global compliance and cybersecurity needs.
  • Construct practical mitigation plans for identified AI risks, including monitoring and control mechanisms.
  • Collaborate in teams to assess AI risk scenarios and recommend strategy improvements.
  • Interpret real-world case studies to extract best practices and lessons learned for AI risk implementation.

Training Outline

  1. Introduction to AI Risk Management and Global Frameworks
    • Introduction to AI Risk Management
    • Overview of Key Global AI Frameworks
    • Mapping Global Frameworks to AI Risk Management Practices
    • AI Governance, Ethics, and Accountability
  2. Advanced AI Risk Management Strategies and International Compliance
    • Advanced Risk Management Strategies for AI Systems
    • Regional Variations
    • Case Studies: AI RMF and EU AI Act Implementation
    • Designing a Global AI Risk Management Strategy

Why Choose Us

Experience Cybersecurity Specialization: AI Risk Management Framework in Kazakhstan through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Kazakhstan and worldwide, with flexible planning options for individual and corporate training needs.

Experience Cybersecurity Specialization: AI Risk Management Framework in a focused classroom environment in Kazakhstan. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Cybersecurity Specialization: AI Risk Management Framework in Kazakhstan solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

Cybersecurity Specialization: AI Risk Management Framework Training Course in Kazakhstan Schedule

Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
15 тамыз 2026 (2 Days)
Almaty, Astana, Shymkent
USD 2,395
03 қыркүйек 2026 (2 Days)
Almaty, Astana, Shymkent
USD 2,395
04 қыркүйек 2026 (2 Days)
Almaty, Astana, Shymkent
USD 2,395
13 қыркүйек 2026 (2 Days)
Almaty, Astana, Shymkent
USD 2,395
18 қыркүйек 2026 (2 Days)
Almaty, Astana, Shymkent
USD 2,395
03 қазан 2026 (2 Days)
Almaty, Astana, Shymkent
USD 2,395
17 қазан 2026 (2 Days)
Almaty, Astana, Shymkent
USD 2,395
19 қазан 2026 (2 Days)
Almaty, Astana, Shymkent
USD 2,395

Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.

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