Awesome Ai Agents 2026
Section: Courses and Tutorials · 21-lesson course
Entry
Appears in 5 awesome lists
21 lessons covering generative AI fundamentals, prompt engineering, RAG applications, fine-tuning, and LLM app deployment with practical exercises.
Section: Courses and Tutorials · 21-lesson course
Section: Prompts · 12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Section: Resources · Course on generative AI for beginners from Microsoft.
Section: 课程 Course
Section: 14. Resources & Learning · 21 lessons covering generative AI fundamentals, prompt engineering, RAG applications, fine-tuning, and LLM app deployment with practical exercises.
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Open-source AI observability & evaluation platform (Arize) — OpenTelemetry-native tracing for agents, LLM-as-judge evals, versioned datasets & experiments for prompt regression testing, prompt management with version control and replay, plus an MCP endpoint so Claude Code/Cursor can query traces…
The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint.
The Generative AI Landscape - A Collection of Awesome Generative AI Applications.
Private AI platform for building intelligent agents and assistants with enterprise search. Features Agent Builder, deep research tools, multi-format document analysis, and multi-model support. MIT licensed.
DemoGPT enables you to create quick demos by just using prompt. It applies ToT approach on Langchain documentation tree.
OpenAI's cookbook includes examples of prompt engineering.