ai-ml-dl
Artificial Intelligence (AI)
Learning Notes
Industrial Analysis on AI
Agentic AI Roadmap 2025
Thanks SATISH GOJARATE’s sharing.
| Step | Timeframe | Category | Actions | Goal |
|---|---|---|---|---|
| 1. Build Your Programming & Prompting Base | 4~6 weeks | Learn | - Python + basic scripting (API calls, file handling) - Prompt Engineering (chain-of-thought, goal-oriented prompts) - Async processing & web scraping basics |
Be able to write scripts + craft prompts that produce consistent, structured AI outputs |
| 2. Understand the DNA of AI Agents | 3~4 weeks | Learn | - What AI agents are + differece between autonomous & semi-autonomous - Goal decomposition & task planning algorithms - Architectures: ReAct, CAMEL, AutoGPT - Protocols: MCP & A2A |
Know how agents think, plan, and act |
| 3. Master LLMs & APIs | 3~4 weeks | Work with | - Proprietary LLMs: OpenAI, Claude, Gemini - Open Source LLMs: LLaMA, DeepSeek, Falcon - API authentication, rate limits, tool/function calling |
Connect to any model, send it structured requests, and parse outputs |
| 4. Tool Use & Integration | 2~3 weeks | Learn | - Momory integration - External API calling - Search & retrieve tools - File & code execution |
Make your agent use tools like a human assistant |
| 5. Choose & Master an Agent Framework | 4~6 weeks | Try | - LangChain, AutoGen, CrewAI, Flowise, AgentOps - Understand orchestration between multiple agents |
Build multi-agent workflows with a chosen framework. |
| 6. Orchestrate & Automate | 2~3 weeks | Learn | - n8n, Make.com, Zapier, LangGraph - Event triggers, DAGs, conditional flows, guardrails |
Automate complex, reliable AI pipelines |
| 7. Add Memory, RAG & Knowledge Systems | 3~4 weeks | Work with | - Vector databases: Pinecone, Weaviate, Chroma, FAISS - RAG pipelines, document indexing, hybrid search |
Give your agents contextual memory + external knowledge. |
| 8. Deploy, Monitor & Govern | 3~4 weeks | Learn | - Deploy with FastAPI, Docker, Kubernetes - Monitor via LangSmith, Prometheus, Grafana - Apply security & compliance (RBAC, privacy, red teaming) |
Ship secure, production-grade agents |
AI Engineer Roadmap
AI Agent Learning Roadmap
Updated at 2026-03-11