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🤖 30 Days of Agentic AI (With Practical Usage) Series' Articles
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Day 1: What is Agentic AI?
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Feb 14
Day 1: What is Agentic AI?
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4 min read
Day 2: LLM vs Agent – What’s the Real Difference?
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Feb 14
Day 2: LLM vs Agent – What’s the Real Difference?
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Day 3 – Core Components Of An AI Agent
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Mar 14
Day 3 – Core Components Of An AI Agent
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4 min read
Day 4 – What Makes An Agent “autonomous”?
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Mar 14
Day 4 – What Makes An Agent “autonomous”?
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3 min read
Day 5 – Agentic AI Vs Traditional Automation (rpa)
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Mar 14
Day 5 – Agentic AI Vs Traditional Automation (rpa)
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Day 6 – Real-world Agentic AI Use Cases (2026 Snapshot)
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Mar 14
Day 6 – Real-world Agentic AI Use Cases (2026 Snapshot)
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Day 7 – Popular Agent Frameworks (lang Graph, Crew AI, Auto Gen)
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Mar 14
Day 7 – Popular Agent Frameworks (lang Graph, Crew AI, Auto Gen)
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Day 8 – Planning In Agents (re Act, Plan-and-execute)
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Mar 14
Day 8 – Planning In Agents (re Act, Plan-and-execute)
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Day 9 – Tool Calling Explained (apis, Databases, Browsers)
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Mar 16
Day 9 – Tool Calling Explained (apis, Databases, Browsers)
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Day 10 – Memory In Agents (short-term Vs Long-term)
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Mar 17
Day 10 – Memory In Agents (short-term Vs Long-term)
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Day 11 – Multi-step Reasoning & Task Decomposition
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Mar 18
Day 11 – Multi-step Reasoning & Task Decomposition
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Day 12 – Reflection & Self-correction In Agents
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Mar 19
Day 12 – Reflection & Self-correction In Agents
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Day 13 – Single-agent Vs Multi-agent Systems
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Mar 20
Day 13 – Single-agent Vs Multi-agent Systems
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Day 14 – When Not To Use Agentic AI
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Mar 21
Day 14 – When Not To Use Agentic AI
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Day 15 – Building Your First Simple AI Agent
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Mar 22
Day 15 – Building Your First Simple AI Agent
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Day 16 – Designing Agent Prompts That Actually Work
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Mar 23
Day 16 – Designing Agent Prompts That Actually Work
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Day 17 – Using Agents For Data Analysis Tasks
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Mar 24
Day 17 – Using Agents For Data Analysis Tasks
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Day 19 – Customer Support Agents (tickets Resolution)
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Mar 25
Day 19 – Customer Support Agents (tickets Resolution)
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Day 18 – Agentic AI For Software Development
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Mar 25
Day 18 – Agentic AI For Software Development
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Day 20 – Research Agents (web Search + Summarization)
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Mar 26
Day 20 – Research Agents (web Search + Summarization)
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Day 21: Agent Failure Modes & Debugging Techniques 🧨🔍
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Mar 27
Day 21: Agent Failure Modes & Debugging Techniques 🧨🔍
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4 min read
Day 22: Multi-Agent Collaboration (Manager–Worker Model) 🤝🤖
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Mar 28
Day 22: Multi-Agent Collaboration (Manager–Worker Model) 🤝🤖
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Day 23: Agentic AI in Product Management 🧠📦
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Mar 29
Day 23: Agentic AI in Product Management 🧠📦
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Day 24: Agentic AI in DevOps & MLOps ⚙️🚀
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Mar 30
Day 24: Agentic AI in DevOps & MLOps ⚙️🚀
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Day 25: Security & Guardrails for AI Agents 🔐🛡️
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Mar 31
Day 25: Security & Guardrails for AI Agents 🔐🛡️
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Day 26 – Cost Optimization In Agentic Systems
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Apr 1
Day 26 – Cost Optimization In Agentic Systems
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Day 27 – Evaluating Agent Performance (metrics That Matter)
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Apr 2
Day 27 – Evaluating Agent Performance (metrics That Matter)
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Day 28 – Agentic AI Vs AI Workflows (2026 Perspective)
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Apr 3
Day 28 – Agentic AI Vs AI Workflows (2026 Perspective)
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Day 29 – Future Of Work With Agentic AI
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Apr 4
Day 29 – Future Of Work With Agentic AI
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Day 30 – How To Start A Career In Agentic AI (roadmap)
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Apr 4
Day 30 – How To Start A Career In Agentic AI (roadmap)
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