🗓 30-Day High-Level Plan Build an AI-enabled Cloud Database Agent in 30 days

📅 Week 1 – Cloud, Database & Automation Foundation

Day	Focus Area	High-Level Task	status
1	Environment	Setup local dev environment (Python, IDE, Git)	done 6/Jan
2	Azure Basics	Create Azure account, resource groups, access model	done 6/Jan
3	Database	Deploy Azure SQL or SQL Server on Azure VM	done 6/Jan
4	Connectivity	Connect Python to SQL Server and run basic queries	done 7/Jan
5	Automation	Automate core DB operations (create, query, maintain)
6	Azure Automation	Automate DB lifecycle using Azure CLI / PowerShell
7	Stabilization	Review scripts, logging, error handling

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📅 Week 2 – GenAI + Prompt → SQL + RAG

Day	Focus Area	High-Level Task
8	LLM Setup	Enable Azure OpenAI and call LLM from Python
9	Prompt Design	Design prompts for natural language → SQL
10	SQL Copilot	Build basic SQL Copilot (NL → SQL → Execute)
11	Embeddings	Create embeddings for schema & runbooks
12	RAG	Implement retrieval-augmented SQL generation
13	Reasoning	Enable multi-step reasoning for complex queries
14	Optimization	Refine prompts, add execution logging

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📅 Week 3 – AI Agent + Automation

Day	Focus Area	High-Level Task
15	Agent Core	Initialize AI Agent framework and control loop
16	Tooling	Register SQL, PowerShell, Azure CLI as Agent tools
17	Provisioning	Agent-driven database provisioning
18	DR / Backup	Agent-driven backup and restore operations
19	Incident Ops	Agent-assisted incident diagnosis and recommendations
20	End-to-End	Chain reasoning → action → feedback
21	Governance	Add guardrails, approval flow, safety controls

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📅 Week 4 – UI, Demo & Presentation

Day	Focus Area	High-Level Task
22	UI	Build minimal UI for interacting with the Agent
23	Integration	Connect UI to Agent workflows
24	Observability	Add logging, transparency, execution feedback
25	Security	Apply role separation and safe-execution rules
26	Knowledge	Enhance Agent with runbooks and SOP knowledge
27	Scenarios	Prepare real-world demo scenarios
28	Demo	Record demo video and walkthrough
29	Documentation	Create architecture and usage documentation
30	Finalization	Polish solution and prepare interview narratives