9 Agentic AI Concepts Every AI Engineer Must Know in 2026 🔥 | தமிழ்
AI Coach John (Tamil)
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9 Agentic AI Concepts Every AI Engineer Must Know in 2026 🔥 | தமிழ்
15 962 просмотра · 8 дней назад
AI Coach John (Tamil)
185 тыс. подписчиков
15 962 просмотра · 8 дней назад
Want to become a Data Analyst, Data Scientist, or GenAI Engineer?
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🔥 Want to become an AI Engineer in 2026? Understanding LLMs alone is no longer enough, you need to understand how AI agents actually work! 🤯
Agentic AI is transforming how we build intelligent applications. Instead of simply generating text, AI agents can use tools, plan tasks, interact with external systems, and execute multi-step workflows with varying levels of autonomy.
But to build reliable, production-ready AI agents, you need to understand the core concepts behind them — not just the frameworks and tools.
In this Tamil video, we'll break down 9 essential Agentic AI concepts every AI Engineer should know in 2026, with practical explanations and real-world applications.
🚀 In this video, you'll learn:
• AI Agents — How agents differ from traditional LLM applications
• Tool Calling — How agents interact with APIs, databases, and external tools
• Planning & Reasoning — How agents break complex tasks into smaller steps
• Memory Management — How agents retain and retrieve useful information
• RAG (Retrieval-Augmented Generation) — How agents access external knowledge
• Multi-Agent Systems — How multiple agents collaborate on complex tasks
• Agentic Workflows — How to design multi-step AI automation
• MCP (Model Context Protocol) — How AI applications connect to external tools and data
• Evaluation & Guardrails — How to test agent performance, control risks, and improve reliability
Timestamp :
00:00 Intro
02:00 The Question
03:53 The 9 Parts
05:28 The Same Question
06:08 Memory&State
09:59 The RAG
13:33 The Harness
17:34 Recap
19:06 MCP
24:36 the Skills
28:29 the Answer
33:18 test 02
34:38 The orchestrator
39:11 The A2A
43:09 Multi Agent
45:45 Takeaway
46:55 Test Begins
48:12 Result
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