---
title: Educational Resources | Guide to AI
description: Educational Resources — curated AI tools and resources: GenAI Agents, Understanding & Building LLM Applications, Prompt Engineering with W&B, Amazon Bedrock Workshop, LLM Fine-Tuning Course, Parlance Labs.
canonical: https://ai-know.org/educational-resources/
last-updated: 2026-09-20
site: Guide to AI (ai-know.org)
---

# Educational Resources

> 8 curated AI tools and resources. Canonical page: https://ai-know.org/educational-resources/

Guide to AI (ai-know.org) is a free, bilingual (English and Hebrew) knowledge base about artificial intelligence: explained concepts, curated tools, a daily news digest and a browser-side token calculator. It is a static site — no account, no tracking, no paywall.

## Tools

- [GenAI Agents](https://github.com/NirDiamant/GenAI_Agents) — NirDiamant: This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

- [Understanding & Building LLM Applications](https://www.linkedin.com/pulse/understanding-building-llm-applications-pavan-belagatti-lakvc/) — LinkedIn Pulse: An article by Pavan Belagatti discussing the architecture and development of applications using large language models (LLMs), including insights into their components, training, and practical applications.

- [Prompt Engineering with W&B](https://colab.research.google.com/github/wandb/edu/blob/main/prompting/prompt_engineering.ipynb#scrollTo=ImDxqf2JbuZy) — Weights & Biases: A comprehensive guide on prompt engineering using Weights & Biases, providing practical insights and examples for optimizing prompts in AI models.

- [Amazon Bedrock Workshop](https://github.com/aws-samples/amazon-bedrock-workshop) — AWS Samples: This workshop is designed for developers and solution builders to leverage foundation models through Amazon Bedrock. It provides hands-on experience with text and image generation, model customization, and integration with open-source packages like LangChain and FAISS.

- [LLM Fine-Tuning Course](https://colab.research.google.com/github/wandb/edu/blob/main/llm-training-course/colab/finetuning.ipynb#scrollTo=d5754789-2e15-4bc9-800c-01f8ffc625e8) — Weights & Biases: A comprehensive course on fine-tuning large language models using Weights & Biases, providing practical insights and examples for optimizing model performance.

- [Parlance Labs](https://parlance-labs.com/) — Parlance Labs: Parlance Labs provides AI-driven solutions for enhancing communication and productivity. Their tools focus on automating and optimizing customer interactions, enabling businesses to improve efficiency and customer satisfaction through advanced natural language processing technologies.

- [LF AI & Data Foundation Interactive Landscape](https://landscape.lfai.foundation/) — LF AI & Data Foundation: The LF AI & Data Foundation Interactive Landscape provides a comprehensive overview of open-source AI and data projects. It is modeled after the CNCF landscape and offers insights into various tools and platforms across machine learning, deep learning, data processing, and more, helping users navigate the open-source AI ecosystem.

- [DLI Learning Journey](https://nvdam.widen.net/s/brxsxxtskb/dli-learning-journey-2009000-r5-web) — NVIDIA: The DLI Learning Journey by NVIDIA provides a comprehensive guide for developers and data scientists to enhance their skills in deep learning and AI. It offers structured learning paths, resources, and tools to facilitate the development and deployment of AI models, improving productivity and expertise in the field.


## Other sections

- [Fundamentals of Artificial Intelligence](https://ai-know.org/ai-basics/)
- [Advanced Concepts](https://ai-know.org/advanced_concepts/)
- [Advanced Techniques](https://ai-know.org/techniques/)
- [Evaluation Metrics](https://ai-know.org/evaluation_metrics/)
- [Tools and Libraries](https://ai-know.org/tools_and_libraries/)
- [Key Applications of Artificial Intelligence](https://ai-know.org/applications/)
- [Future Trends in Artificial Intelligence](https://ai-know.org/future_trends/)
- [Language Tools](https://ai-know.org/chat-tools/)
- [AI Coding Agents](https://ai-know.org/coding-tools/)
- [Open-Source Libraries/Tools](https://ai-know.org/libraries/)
- [Graphics Tools](https://ai-know.org/graphics/)
- [Articles](https://ai-know.org/articles/)
- [Productivity Tools](https://ai-know.org/productivity/)

---
Source: https://ai-know.org/educational-resources/ · Site index: https://ai-know.org/llms.txt · Repository: https://github.com/LeonMelamud/AI-Knowledge