Building AI Systems That Think & Act — MC13: LangChain Advanced
Tomorrow, I'm leveling up — MC13: LangChain Advanced is happening, and I genuinely cannot wait!
After MC12 completely rewired how I think about AI systems, this feels like the next big leap. We went from just building RAG chatbots to thinking in agents, workflows, and systems that actually DECIDE and ACT. MC12 showed me that LangChain isn't just a framework — it's the orchestration layer connecting LLMs, Prompts, Chains, Agents, Memory, Vector Stores, and Tools into one cohesive AI pipeline. We even built a Restaurant Business Generator (Cuisine type → Restaurant name + full menu) using LangChain · OpenAI · SERP API · Gradio — and it CLICKED. RAG was the beginning. Agents are the future. Now MC13 goes even deeper into advanced agent architectures, real-world AI workflows, and intelligent systems that go beyond basic prompting. Tomorrow's session (11th April, 2 PM GST) is part of the AI Residency by @Mohammad Arshad at Decoding Data Science — and I'm showing up ready to build. 🔥
Who else is joining? Drop a comment — let's learn together! 👇
#AI #LangChain #AIAgents #ArtificialIntelligence #LearningByBuilding #AICommunity #DecodingDataScience #FutureOfWork #MachineLearning #TechLearning
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Divya Sunilkumar
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Building AI Systems That Think & Act — MC13: LangChain Advanced
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