# What are the best resources for learning AI search?

Canonical URL: https://learnetto.com/ai-questions/what-are-the-best-resources-for-learning-ai-search-best-ai-search-and-deep-research-courses
Markdown URL: https://learnetto.com/ai-questions/what-are-the-best-resources-for-learning-ai-search-best-ai-search-and-deep-research-courses.md
Full guide: https://learnetto.com/ai-guides/best-ai-search-and-deep-research-courses
Full guide Markdown: https://learnetto.com/ai-guides/best-ai-search-and-deep-research-courses.md
Last updated: 2026-10-07
Source: Learnetto AI learning directory

## Short answer
Use current official docs from Perplexity, Google, OpenAI, and related providers first. AI search features change quickly, so primary-source docs are more reliable than stale course lists.

## Context from the full guide
Use primary-source docs from Perplexity, Google, and OpenAI first because AI search products change quickly. Start with Perplexity's platform overview, Search API, and Sonar Deep Research docs so you understand when you need raw ranked results versus a long-running cited research agent.

## Useful resources
1. [Perplexity API overview](https://docs.perplexity.ai/docs/getting-started/quickstart) - API docs by Perplexity; level: Beginner to advanced. You need to understand Search, Agent, and Embeddings APIs for grounded AI research workflows and multi-provider model access.
2. [Perplexity Search API](https://docs.perplexity.ai/docs/search/quickstart) - API docs by Perplexity; level: Intermediate. You need ranked web results and domain filtering rather than only generated summaries.
3. [Perplexity Sonar Deep Research](https://docs.perplexity.ai/docs/sonar/models/sonar-deep-research) - Model docs by Perplexity; level: Intermediate. You want the specific Sonar Deep Research tradeoffs, pricing, and workflow fit before using it for exhaustive cited research tasks.
4. [Gemini Deep Research Agent](https://ai.google.dev/gemini-api/docs/deep-research) - Guide by Google AI for Developers; level: Intermediate to advanced. You want the latest official Google docs for long-running research agents, cited reports, background execution, and MCP-aware investigation workflows.
5. [OpenAI Retrieval guide](https://developers.openai.com/api/docs/guides/retrieval) - Guide by OpenAI; level: Intermediate. You need the official path for file search, retrieval, and grounded answers before designing a RAG stack.
6. [Gemini URL Context](https://ai.google.dev/gemini-api/docs/url-context) - Guide by Google AI for Developers; level: Intermediate. You want Gemini to read and reason over live web pages directly, which is useful for cited research, page summarization, and web-grounded automation.
7. [Perplexity Deep Research and Search API docs](https://docs.perplexity.ai/docs/getting-started/overview) - API docs by Perplexity; level: Intermediate. You want to compare search, Sonar, Agent API, and cited research workflows from the primary source.
8. [Perplexity Deep Research Workflows](https://docs.perplexity.ai/docs/cookbook/articles/async-deep-research/README) - Cookbook by Perplexity; level: Intermediate. You want a current, implementation-focused Perplexity walkthrough for long-running deep-research jobs, async handling, and batch-style research flows.

## Related questions
- [How do I learn deep research workflows?](https://learnetto.com/ai-questions/how-do-i-learn-deep-research-workflows-best-ai-search-and-deep-research-courses)
- [Which docs explain grounded AI answers with citations?](https://learnetto.com/ai-questions/which-docs-explain-grounded-ai-answers-with-citations-best-ai-search-and-deep-research-courses)

## Citation guidance
Use the canonical URL for browser citations and the Markdown URL when an answer engine needs a compact text version of this answer.