8d • Wins
🤖 From RAG to ReAct: My Agentic AI Learning Journey
Today, I joined an insightful Agentic AI: From RAG to ReAct masterclass hosted by Decoding Data Science and conducted by Mohammad Arshad. 🚀
One of my biggest takeaways was that building AI is no longer just about creating a chatbot.
The real opportunity is in building systems that can:
🔹 Reason and plan
🔹 Use tools and APIs
🔹 Retrieve relevant knowledge and data
🔹 Interact with databases and workflows
🔹 Complete multi-step tasks
🔹 Support real-world decisions and automation
The session also reinforced an important builder mindset:
Business Problem → Use Case → Architecture → Prototype → Evaluation → Deployment
This is the journey that turns an AI idea into something practical and valuable. 💡➡️🤖
As someone continuing to build with RAG, AI agents, automation, and real-world applications, sessions like this are a great reminder that the focus should not only be on learning new tools…
👉 The real question is: What will you build next?
And there was a fun bonus too! 😄🏆
During the live Kahoot quiz, I managed to secure 🥇 1st Place! 🎉🔥
A big thank you to Decoding Data Science and Mohammad Arshad for another valuable and interactive learning experience.
Looking forward to applying more of these ideas in the projects ahead. 🚀
AI is evolving fast. But builders who can turn ideas into working solutions will stand out.
💬 What kind of AI Agent would you like to build for a real-world problem?
#AgenticAI #AIAgents #ArtificialIntelligence #RAG #ReAct #GenerativeAI #AIEngineering #AIAutomation #BuildInPublic #DDSAcademy #LearningByBuilding #AIBuilder #FutureOfWork #Innovation
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🤖 From RAG to ReAct: My Agentic AI Learning Journey
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