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Building an AI agent is easy. Making it reliable, safe, and cost-effective in production is the real challenge. In this live session, we’ll look at what actually changes when an agentic AI system moves from a demo to production. Using a real production deployment as the context, we’ll break down how to think about system architecture, evaluation, guardrails, observability, and cost. Meet the Panel: Srikanth Dongala: https://www.linkedin.com/in/srikanth-dongala/ Code link mentioned in the session: https://resources.codebasics.io/Ex2mzs Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. Need help building AI, data solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk 🏫 Skool Community for Support & Networking - https://resources.codebasics.io/6J8mXg 📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/ 📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/ 📱 Dhaval's X handle : https://x.com/dpcodebasics ------ 📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/ 📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/ 📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/ 📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalcodebasics 🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true

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