AIIC.engineer

AI Security Engineer Foundations & Certificate is a Snyk six-module training program on securing AI-powered and agentic applications. It covers the OWASP Top 10 for Agentic Applications, Shadow AI and AI bills of materials, AI threat modeling, agent skills and Model Context Protocol (MCP) security, secure AI-assisted coding, and AI penetration testing. The program examines risks and controls across prompts, models, retrieved context, memory, tools, identities, permissions, supply chains, and downstream actions, including least privilege, scoped identities, tool allowlisting, approval gates, memory isolation, context validation, dependency review, runtime monitoring, and audit logging. It demonstrates workflows such as generating an AIBOM with the Snyk CLI, modeling assets and trust boundaries, scanning MCP configurations with MCP-Scan, scanning server code with Snyk Code, and applying scan-fix-rescan practices. Its MCP module distinguishes malicious tool descriptions from vulnerabilities in MCP server code. Sessions are offered online and in person for builders, engineers, and security practitioners; participants receive a badge for each completed module and a certificate.

AI-Native Workshop is a repository-based workshop for practicing AI-native software development workflows. Its curriculum covers voice coding, agent sessions, loops and measurable goals, Git worktrees, verification gates and hooks, adversarial review, and scheduled tasks. The repository includes setup skills, exercises, slides, a glossary, a facilitator guide, and an optional local `aie-coach` MCP server with seven tools for check-ins and setup scoring. Its setup workflow runs inside Claude Code and can install and verify Bun, the Codex CLI, and Git; the workshop is organized in four blocks covering voice, loops and goals, gates, and schedules.

AI Engineering from Scratch is a free, open-source curriculum developed by rohitg00 for learning to build and ship AI systems end to end. Its 20-phase sequence covers development tooling, mathematical and machine-learning foundations, deep learning, NLP, computer vision, generative AI, LLM applications, agent engineering, Model Context Protocol (MCP), agent skills, reinforcement learning, and related topics, with implementations in Python, TypeScript, Rust, and Julia. The repository describes 511 lessons and approximately 329 hours of material; each lesson produces a reusable artifact such as a prompt, skill, agent, or MCP server. Learners are instructed to read the lesson documentation, type and run the code from the repository root, record command evidence and outputs, and make a small change before continuing. It provides routes for complete foundations, mathematics and machine learning, production LLM applications, agent engineering, MCP, agent skills, and Claude certification preparation. The repository is distributed under the MIT license and is accompanied by a website containing the same lesson content.

AI Engineer is an AI engineering events and community organization operated by Software 3.0 INC. It runs flagship and regional events alongside year-round community engagement, knowledge exchange, and collaborative activities focused on practical AI engineering. Its public program includes conferences, workshops, talks, guides, and other opportunities for the global AI engineering community.

AI Engineering Lab is a free, self-paced 24-week AI engineering course developed by Zorost Intelligence AI Lab. It takes learners from Python and machine learning through deep learning, LLM internals, prompt and context engineering, retrieval-augmented generation with vector search, quantization, LoRA and DPO fine-tuning, evaluation harnesses, coding-agent harnesses, AI agents, MCP, and cloud and Databricks platforms including Azure AI Foundry, Google Vertex AI, AWS Bedrock, and Databricks. The curriculum uses one continuous fictional freight-company case study. Each week pairs a concept with a runnable Python, SQL, or PySpark artifact; from Week 3 onward, the work includes a metric and an error note. The repository contains 43 runnable notebooks, publishes the full curriculum online, requires no signup or paid API key, and states that the first eight weeks require no GPU. It is MIT licensed.