AI Security Skills: Protecting Agents and LLM Applications
Master practical AI security engineering skills in 2026: threat modeling (OWASP LLM Top 10), LLM-Guard input/output gateways, Garak red-teaming, and tool sandboxing.
Writing & explainers
AI, software, gadgets, tutorials, comparisons, and explainers.
Master practical AI security engineering skills in 2026: threat modeling (OWASP LLM Top 10), LLM-Guard input/output gateways, Garak red-teaming, and tool sandboxing.
Master practical AI testing and LLM evaluation skills in 2026 using promptfoo, DeepEval, Ragas, and lm-evaluation-harness: deterministic assertions and CI gates.
Learn how to use LLMs and coding agents to generate meaningful unit, integration, and Playwright E2E tests in 2026 while avoiding tautological assertions and flaky mocks.
Evaluate AI video generation in 2026 for creators and engineering teams: open-weight Diffusion Transformers (`Wan2.1`, `HunyuanVideo`), temporal consistency, and C2PA compliance.
Learn how to engineer production AI voice calling agents for Indian businesses in 2026: SIP telephony, 8kHz audio, Hinglish code-switching, TRAI DND consent, and Bolna.
Master backend engineering skills for production AI systems in 2026 using FastAPI, Pydantic, PostgreSQL, async queues, token-bucket rate limiting, and SSE streaming.
Investigate JEV (TypeSafe AI) and CDM (ScaleDown) models launched in late 2026. Separate vendor benchmarks from single-pass decision and constrained decoding.
Understand how LLM function calling, OpenAPI REST APIs, Model Context Protocol (MCP), and Agent-to-Agent (A2A) protocols fit together without conflating them.
Understand how multimodal AI and Vision-Language Models (VLMs) like Qwen3-VL process images, audio, and video in 2026: architectures, token budgets, and OCR.