344 articles published
A beginner-friendly roadmap to learn machine learning with Python, core math, scikit-learn fundamentals, and an end-to-end first model project with evaluation and basic deployment.
Meta launches paid subscriptions for Instagram, Facebook, WhatsApp with new Plus tiers and a Meta One umbrella for AI, creator, and business plans.
Learn prompt engineering for LLMs with practical techniques, reusable templates, and mitigation strategies for hallucinations, prompt injection, and brittle outputs.
Learn MLOps for beginners with practical CI/CD stages, model versioning via registries, feature stores to prevent skew, and production best practices for monitoring and safe rollout.
Learn how to select AI model evaluation metrics for classification, regression, and LLMs. Build KPI dashboards that balance performance, calibration, robustness, fairness, and safety.
Learn how SPF, DKIM, and DMARC reduce spoofing, where they fall short, and which simulation-driven training methods measurably lower phishing risk.
AI agents combine LLMs with tools, memory, and orchestration to complete multi-step workflows. Learn agent architecture, memory types, tool use patterns, and real applications.
Identity and Access Management (IAM) deep dive covering MFA, passwordless authentication, and PAM, with practical patterns for hybrid work, cloud, and Zero Trust.
Learn how responsible AI in practice works with bias testing, explainability artifacts, and governance frameworks aligned to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Learn how SSDLC works in DevSecOps by integrating SAST, SCA, and DAST into CI/CD with layered security gates, faster feedback loops, and runtime validation.
Learn how to build an end-to-end AI project with a practical lifecycle covering problem framing, data collection, training, deployment, and continuous monitoring.
Learn API security essentials for microservices by mapping preventive controls to the OWASP API Top 10 (2023), from BOLA and auth to SSRF, inventory, and abuse.