Understanding time and space complexity analysis for evaluating algorithm efficiency and performance characteristics.

Fundamental data structures and their operations, including complexity analysis and real-world applications.

Common algorithmic patterns and problem-solving techniques for tackling coding challenges efficiently.

Classic sorting algorithms with complexity analysis, trade-offs, and best use cases for different scenarios.

Core algorithms powering neural networks, from backpropagation and gradient descent to optimization techniques.

Network protocols, load balancing, concurrency fundamentals, and distributed systems theory for building scalable applications.

Cryptography basics, authentication mechanisms, common vulnerabilities (OWASP), and secure coding practices for building secure applications.

ACID properties, transaction isolation, indexing strategies (B-Tree, Hash), query optimization, normalization, and denormalization.

Business continuity planning with RTO/RPO objectives, backup strategies, rotation schemes, DR site types, and multi-region failover patterns.

Cloud network design including VPC/VNet architecture, CIDR planning, connectivity options, security (security groups, NACLs), DNS, and topologies.

Compliance frameworks (SOC 2, HIPAA, PCI DSS, GDPR, ISO 27001), requirements, cloud compliance, and data protection strategies for regulatory adherence.

Never trust/always verify principles, identity-centric security, microsegmentation, device trust, data protection, and implementation patterns for perimeter-less security.

OWASP LLM Top 10, prompt injection defenses, model security, adversarial attacks, and AI-specific security measures.

Fairness, bias detection and mitigation, explainability, interpretability, and ethical AI development practices.

Governance frameworks, model documentation, risk management, compliance requirements, and AI policy development.

Differential privacy, federated learning, secure multi-party computation, and privacy-preserving techniques for ML.

Comprehensive guide to acronyms across AI, cloud computing, databases, networking, security, and software development.