Kamran Ahmed
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--- |
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jsonUrl: '/jsons/roadmaps/ai-agents.json' |
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pdfUrl: '/pdfs/roadmaps/ai-agents.pdf' |
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order: 22 |
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briefTitle: 'AI Agents' |
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briefDescription: 'Step by step guide to learn AI Agents in 2025' |
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title: 'AI Agents' |
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description: 'Step by step guide to learn AI Agents in 2025' |
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isNew: true |
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isHidden: false |
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hasTopics: true |
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renderer: editor |
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dimensions: |
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width: 968 |
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height: 3300 |
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schema: |
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headline: 'AI Agents Roadmap' |
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description: 'Learn how to build and ship AI agents with this interactive step by step guide in 2025. We also have resources and short descriptions attached to the roadmap items so you can get everything you want to learn in one place.' |
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imageUrl: 'https://roadmap.sh/roadmaps/ai-agents.png' |
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datePublished: '2025-04-29' |
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dateModified: '2025-04-29' |
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seo: |
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title: 'AI Agents Roadmap - roadmap.sh' |
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description: 'Step by step guide to learn AI Agents in 2025. We also have resources and short descriptions attached to the roadmap items so you can get everything you want to learn in one place.' |
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keywords: |
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- 'ai agents tutorial' |
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- 'step by step guide for ai agents' |
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- 'how to learn ai agents' |
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- 'use ai agents in production' |
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- 'ai agents roadmap 2025' |
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- 'guide to learning ai agents' |
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- 'ai agents for beginners' |
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- 'ai agents roadmap' |
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- 'ai agents learning path' |
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- 'ai agents learning roadmap' |
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- 'ai agents learning guide' |
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- 'ai agents skills' |
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- 'ai agents for development' |
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- 'ai agents for development skills' |
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- 'ai agents for development skills test' |
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- 'ai agents quiz' |
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- 'ai agents career path' |
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- 'ai agents interview questions' |
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- 'learn ai agents for development' |
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- 'become an ai agents expert' |
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- 'what is ai agents' |
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relatedRoadmaps: |
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- 'ai-engineer' |
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- 'ai-data-scientist' |
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- 'prompt-engineering' |
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- 'data-analyst' |
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sitemap: |
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priority: 1 |
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changefreq: 'monthly' |
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tags: |
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- 'roadmap' |
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- 'main-sitemap' |
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- 'skill-roadmap' |
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--- |
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# Acting / Tool Invocation |
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# Agent Loop |
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# Anthropic Tool Use |
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# API Requests |
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# AutoGen |
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@ -0,0 +1 @@ |
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# Basic Backend Development |
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@ -0,0 +1 @@ |
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# Be specific in what you want |
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# Bias & Toxicity Guardrails |
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# Chain of Thought (CoT) |
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# Closed Weight Models |
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# Code Execution / REPL |
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# Code generation |
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# Context Windows |
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# Creating MCP Servers |
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# CrewAI |
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# DAG Agents |
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# Data analysis |
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# Data Privacy + PII Redaction |
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# Database Queries |
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# DeepEval |
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# Email / Slack / SMS |
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# Embeddings and Vector Search |
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@ -0,0 +1 @@ |
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# Episodic vs Semantic Memory |
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@ -0,0 +1 @@ |
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# File System Access |
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@ -0,0 +1 @@ |
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# Fine-tuning vs Prompt Engineering |
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@ -0,0 +1 @@ |
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# Forgetting / Aging Strategies |
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@ -0,0 +1 @@ |
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# Frequency Penalty |
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# Gemini Function Calling |
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# Git and Terminal Usage |
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@ -0,0 +1 @@ |
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# Haystack |
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# Helicone |
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# Human in the Loop Evaluation |
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@ -0,0 +1 @@ |
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# Integration Testing for Flows |
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@ -0,0 +1 @@ |
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# Iterate and Test your Prompts |
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@ -0,0 +1 @@ |
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# Langchain |
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@ -0,0 +1 @@ |
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# LangFuse |
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@ -0,0 +1 @@ |
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# LangSmith |
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# LangSmith |
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@ -0,0 +1 @@ |
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# LlamaIndex |
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# LLM Native "Function Calling" |
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# Local Desktop |
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# Long Term Memory |
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@ -0,0 +1 @@ |
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# Manual (from scratch) |
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# Max Length |
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@ -0,0 +1 @@ |
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# MCP Client |
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@ -0,0 +1 @@ |
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# MCP Hosts |
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# MCP Servers |
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# Metrics to Track |
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@ -0,0 +1 @@ |
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# Model Context Protocol (MCP) |
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# NPC / Game AI |
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# Observation & Reflection |
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@ -0,0 +1 @@ |
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# Open Weight Models |
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@ -0,0 +1 @@ |
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# OpenAI Assistant API |
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# OpenAI Functions Calling |
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# openllmetry |
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# Perception / User Input |
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# Personal assistant |
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# Planner Executor |
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# Presence Penalty |
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# Pricing of Common Models |
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# Prompt Injection / Jailbreaks |
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# Provide additional context |
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# RAG Agent |
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# RAG and Vector Databases |
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# Ragas |
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# ReAct (Reason + Act) |
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# Reason and Plan |
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# Reasoning vs Standard Models |
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# Remote / Cloud |
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# REST API Knowledge |
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# Safety + Red Team Testing |
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# Short Term Memory |
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# Smol Depot |
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# Specify Length, format etc |
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# Stopping Criteria |
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# Streamed vs Unstreamed Responses |
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# Structured logging & tracing |
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# Summarization / Compression |
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# Temperature |
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# Token Based Pricing |
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# Tokenization |
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# Tool Definition |
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# Tool sandboxing / Permissioning |
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# Top-p |
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# Transformer Models and LLMs |
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# Tree-of-Thought |
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# Tree-of-Thought |
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# Understand the Basics of RAG |
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# Unit Testing for Individual Tools |
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@ -0,0 +1 @@ |
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# Use Examples in your Prompt |
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# Use relevant technical terms |
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# User Profile Storage |
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@ -0,0 +1 @@ |
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# Web Scraping / Crawling |
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# Web Search |
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# What are AI Agents? |
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# What are Tools? |
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# What is Agent Memory? |
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# What is Prompt Engineering |
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