What are the best free AI engineering blogs for learning how to build AI apps with practical examples?

Here are some of the best free AI engineering blogs for learning how to build AI apps with practical examples:

Top picks

1. OpenAI Cookbook

• Why it’s great: Practical, code-first examples for building with LLMs and APIs.
• Best for: Prompting, function calling, embeddings, RAG, agents, evaluation.
• Link: https://cookbook.openai.com/

2. LangChain Blog

• Why it’s great: Very hands-on guides for building LLM apps, agents, and retrieval systems.
• Best for: RAG apps, tool use, workflows, memory, deployment patterns.
• Link: https://blog.langchain.dev/

3. Hugging Face Blog

• Why it’s great: Excellent mix of tutorials, model usage, and engineering deep dives.
• Best for: Open-source models, transformers, fine-tuning, inference, deployment.
• Link: https://huggingface.co/blog

4. Anthropic Blog

• Why it’s great: Clear articles on building reliable AI systems, prompting, safety, and agent design.
• Best for: Claude app development, prompt engineering, tool use, evals.
• Link: https://www.anthropic.com/news

5. Pinecone Blog

• Why it’s great: Strong practical content on vector databases, RAG, and semantic search.
• Best for: Retrieval systems, embeddings, production AI architecture.
• Link: https://www.pinecone.io/learn/

6. Weights & Biases Blog

• Why it’s great: Great for MLOps, experiment tracking, model evaluation, and production workflows.
• Best for: Training, monitoring, evaluation, reproducibility.
• Link: https://wandb.ai/site/articles/

Also worth following

7. DeepLearning.AI Blog / short courses

• Why it’s great: Easy-to-follow, practical explanations from leading practitioners.
• Best for: Foundation to advanced applied AI topics.
• Link: https://www.deeplearning.ai/blog/

8. Fast.ai

• Why it’s great: Extremely practical and opinionated about building real-world ML systems.
• Best for: Applied machine learning, training models, best practices.
• Link: https://www.fast.ai/

9. Together AI Blog

• Why it’s great: Useful posts on open models, inference, fine-tuning, and serving.
• Best for: Production LLM apps and open-source model stacks.
• Link: https://www.together.ai/blog

10. Replicate Blog

• Why it’s great: Good for deploying AI models as APIs and building demo apps.
• Best for: Image/video generation, model hosting, quick app prototypes.
• Link: https://replicate.com/blog

Best if you want practical app-building

If your goal is specifically building AI apps, start with:

1. OpenAI Cookbook
2. LangChain Blog
3. Pinecone Learn
4. Hugging Face Blog
5. Anthropic Blog

Best if you want production engineering

Add these:

• Weights & Biases
• Together AI
• Replicate

A good learning path

• Start with APIs and prompting: OpenAI Cookbook, Anthropic Blog
• Then build retrieval apps: Pinecone, LangChain
• Then learn open-source model deployment: Hugging Face, Together AI, Replicate
• Then production/evaluation: Weights & Biases

If you want, I can also give you:

• a ranked list for beginners
• the best blogs specifically for RAG/agents
• or a weekly reading roadmap for learning AI app development.