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AI Agents

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90% will guess wrong 😬
What’s the output? 👇

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How To Explain Agentic AI

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AI isn’t one single tool.

Think of AI as layers of capability.

Each unlocks different business cases.

Each requires different infrastructure,
skills, and governance.

Here's the breakdown:

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1. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
Turn your data into decisions.

Systems that learn from historical data, make predictions, and optimize without explicit programming.

→ Forecast sales and demand with precision
→ Detect fraud before it hits your bottom line
→ Predict customer churn and intervene proactively
→ Optimize pricing based on market conditions

Tools: AWS SageMaker, Google Vertex AI, Azure ML

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2. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
Generate content and code at scale.

This is where most companies are today. AI that creates text, code, images, audio, video from prompts.

→ Draft marketing content, emails, reports in minutes
→ Automate meeting notes, summaries, scheduling
→ Build knowledge bases for customer support
→ Generate code, documentation, test cases
→ Create product images and ad creatives

Tools: ChatGPT, Claude, Gemini, Midjourney

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3. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀
Execute simple tasks autonomously.
The leap from creation to action.

AI Agents plan, use tools, maintain context, and execute multi-step workflows.

→ Execute IT tasks using APIs and integrations
→ Generate leads and personalize outreach sequences
→ Handle customer requests from start to resolution
→ Research topics and compile comprehensive reports

Tools: LangChain, CrewAI, Microsoft Copilot

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4. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜
Automate entire processes with AI.

The frontier. Networks of agents that collaborate autonomously. They plan long-term, coordinate, self-evaluate, and improve over time.

→ Modernize legacy software with Agentic coding
→ Build AI directly into your products
→ Orchestrate end-to-end business processes

Tools: Claude Code, OpenAI Codex, Devin

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𝗧𝗵𝗲 𝗞𝗲𝘆 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀:

Machine Learning → Analyzes and predicts
Generative AI → Creates content and code
AI Agents → Execute multi-step tasks with tools
Agentic AI → Orchestrates entire processes

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Data analyst Roadmap

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SQL Cheatsheet 💯

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Here’s AI Agent vs Agentic AI explained 👇

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Linux File System !

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LLM Vs RAG Vs AI AGENT Vs AGENTIC AI💯💯

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Python Cheat Sheet for beginners

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Is this ok.. 😁

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Data science Career Paths

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RAG from Scratch

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Is it true.. 😁

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Python List Methods

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What is the Output?

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Small big big problem.. 😁

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Python List