LearnAIbyAmir · Topics
Browse interactive, single-page HTML notebooks covering AI frameworks, cloud services, agents, connection strings, and more.
Multi-agent patterns, tools, and workflows for building collaborative AI systems with AutoGen.
Patterns for coordinating “crews” of specialized agents to solve complex tasks.
Design and orchestration notes for building copilots using Microsoft Copilot Studio.
Google Cloud’s low‑code platform for building chatbots and voicebots, with design best practices.
Hands-on guide to building low-code chatbots and voice bots on AWS using Amazon Lex.
Comparison and decision guide to choose between low-code AI frameworks like Lex, Dialog CX, Copilot Studio, and more.
Side‑by‑side exploration of graph- and chain-based LLM application patterns.
Beginner-ready map that shows which tools to use for each part of an LLM / agent project (data, prompts, testing, deployment, monitoring), and whether they fit local testing, production, or both.
Practical walkthrough of Model Context Protocol (MCP) and how to wire external tools into LLM agents in a structured, safe way.
Copy‑ready connection strings across SQL, NoSQL, vector DBs, cloud services, and messaging systems.
Consultation-level guide for choosing AI architectures and patterns for real-world solutions.
Interactive guide to choose hosting, infrastructure, and deployment tooling for AI and web projects.