# How do I learn deep research workflows?

Canonical URL: https://learnetto.com/ai-questions/how-do-i-learn-deep-research-workflows-best-ai-search-and-deep-research-courses
Markdown URL: https://learnetto.com/ai-questions/how-do-i-learn-deep-research-workflows-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: 2026-06-23
Source: Learnetto AI learning directory

## Short answer
Practice with questions you can verify, inspect citations, compare sources, and record claims separately from summaries. The skill is source-grounded synthesis, not just generating a long report.

## Context from the full guide
Use primary-source docs from Perplexity, Google, and OpenAI first because AI search products change quickly. Then build a small cited research workflow and evaluate whether sources, summaries, and follow-up questions are reliable.

## Useful resources
1. [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.
2. [Perplexity Sonar models](https://docs.perplexity.ai/docs/sonar/models) - Model docs by Perplexity; level: Intermediate. You need to compare Sonar, Sonar Pro, Sonar Reasoning Pro, and Sonar Deep Research for grounded search workflows.
3. [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.
4. [Perplexity MCP server overview](https://docs.perplexity.ai/docs/getting-started/integrations/mcp-server) - Guide by Perplexity; level: Intermediate. You want Perplexity's official MCP path for bringing grounded search into agent workflows and tool-connected research setups.
5. [OpenAI deep research guide](https://developers.openai.com/api/docs/guides/deep-research) - Guide by OpenAI; level: Intermediate to advanced. You want the official OpenAI path for long-running research tasks that combine reasoning, web search, remote MCP servers, and detailed cited reports.
6. [Gemini Agents Overview](https://ai.google.dev/gemini-api/docs/agents) - Guide by Google AI for Developers; level: Intermediate. You want the official overview of Gemini managed agents, sandbox behavior, and when to use agent workflows instead of plain model calls.
7. [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.
8. [Gemini Deep Research Agent](https://ai.google.dev/gemini-api/docs/interactions/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.

## Related questions
- [What are the best resources for learning AI search?](https://learnetto.com/ai-questions/what-are-the-best-resources-for-learning-ai-search-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)

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