AI Agents Roadmap
Step by step guide to becoming an Android developer.
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1 Prerequisites
LLM Fundamentals
Basic Backend Development
Git and Terminal Usage
2 AI Agents 101
What are AI Agents?
The Agent Loop
What are Tools?
Example Usecases
3 Prompt Engineering for Agents
Writing Good Prompts
Tool Definition
Action Selection
4 Agent Memory
What is Agent Memory?
Short-Term Memory
Long-Term Memory
Memory Management
5 Agent Architectures
ReAct (Reason + Act)
Chain of Thought (CoT)
Planner-Executor
DAG / Tree-of-Thought
6 Building Agents Manually
Direct LLM API Calls
Implement the Agent Loop
Parsing Model Output
Error & Rate-limit Handling
7 Building with Frameworks
LangChain
LlamaIndex
AutoGen by Microsoft
CrewAI
8 LLM Native Function Calling
OpenAI Function Calling
Gemini Function Calling
Anthropic Tool Use
9 Evaluation and Testing
Metrics to Track
Unit & Integration Testing
Human-in-the-Loop
Evaluation Frameworks
10 Debugging and Monitoring
Structured Logging & Tracing
Observability Tools
11 Security & Ethics
Prompt Injection
Tool Sandboxing
Data Privacy
Bias & Toxicity Guardrails
12 Deployment
Local Desktop
Remote / Cloud
MCP