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Agentic AI Roadmap 2025

Learn to build AI agents that can autonomously complete tasks, use tools, and make decisions. This roadmap covers agent architectures, tool use, multi-agent systems, and production deployment of agentic systems.

4-5 months
12 learning steps
5 hands-on projects
Updated 2025-01-01
AI AgentsLangChainAutoGPTCrewAITool UseAutonomous AI
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Prerequisites

  • Strong Python programming skills
  • Experience with LLM APIs (OpenAI, Anthropic)
  • Understanding of prompt engineering
  • Basic knowledge of RAG systems

What You'll Learn

  • Build autonomous AI agents with tool use
  • Implement multi-agent systems
  • Design agent architectures (ReAct, Plan-and-Execute)
  • Deploy production-ready agent systems
  • Implement safety and guardrails for agents

AI Agent Concepts

Learn what AI agents are, their components, and different agent paradigms.

1 week
Skills You'll Learn
Agent ArchitectureReasoningPlanningMemory Systems

ReAct Pattern

Implement the Reasoning + Acting pattern for agent decision making.

1 week
Skills You'll Learn
ReActChain of ThoughtAction SelectionObservation Processing
Learning Resources
ReAct Paper
articleFree
Hands-on Projects
ReAct Agent

Build a simple ReAct agent that can search and answer questions

intermediate3 hours

Agent Memory Systems

Implement short-term and long-term memory for agents.

1 week
Skills You'll Learn
Working MemoryLong-term MemoryMemory RetrievalContext Management

Function Calling

Implement function calling with OpenAI and other LLM providers.

1 week
Skills You'll Learn
Function CallingTool SchemasParameter ExtractionError Handling
Hands-on Projects
Tool-Using Agent

Build an agent that can use multiple tools (search, calculator, etc.)

intermediate4 hours

Building Custom Tools

Create custom tools for agents to interact with APIs and databases.

2 weeks
Skills You'll Learn
Tool DesignAPI IntegrationDatabase ToolsWeb Scraping Tools

Model Context Protocol (MCP)

Learn Anthropic's MCP for standardized tool integration.

1 week
Skills You'll Learn
MCPTool ServersContext ProvidersStandardized Integration

Plan-and-Execute Agents

Build agents that plan before executing complex tasks.

2 weeks
Skills You'll Learn
Task PlanningPlan ExecutionRe-planningGoal Decomposition
Hands-on Projects
Research Agent

Build an agent that plans and executes research tasks

advanced6 hours

Multi-Agent Systems

Build systems with multiple collaborating agents.

2 weeks
Skills You'll Learn
Agent CoordinationRole AssignmentCommunication ProtocolsCrewAI
Hands-on Projects
Agent Team

Build a multi-agent system for content creation

advanced8 hours

Agent Workflows with LangGraph

Build complex agent workflows using graph-based orchestration.

2 weeks
Skills You'll Learn
LangGraphState MachinesWorkflow OrchestrationConditional Logic

Safety & Guardrails

Implement safety measures and guardrails for agent systems.

1 week
Skills You'll Learn
Input ValidationOutput FilteringAction LimitsHuman-in-the-Loop

Agent Evaluation

Evaluate and benchmark agent performance.

1 week
Skills You'll Learn
Agent BenchmarksTask Success RateEfficiency MetricsA/B Testing
Learning Resources
AgentBench
toolFree

Agent Deployment

Deploy agent systems at scale with proper infrastructure.

2 weeks
Skills You'll Learn
ContainerizationScalingQueue SystemsCost Management
Hands-on Projects
Production Agent API

Deploy a production-ready agent system with monitoring

advanced8 hours

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