Agentic AI Interview Preparation

by Salman Md Sultan

Please check the covered topic of each content

7 topics 420 min in all One to one

BDT 4,000

for the whole package

Choose your topics

Tick the topics you want, each at its own price. Take them all to get the package price.

Select all

Foundations of AI Agents, 60 min BDT 300 Core definition of agency, difference between traditional LLMs and autonomous agents, the perception-action loop, levels of autonomy, environment observability Agentic Fundamentals: 60 min BDT 300 Definition of autonomy, differences between standard LLM wrappers and agentic loops, task decomposition, levels of autonomy, reactive vs. deliberative agents. Reasoning Frameworks: 60 min BDT 500 Chain of Thought (CoT), ReAct (Reasoning and Acting) pattern, Plan-and-Execute loops, self-reflection, tree-of-thought engineering Agentic Memory Systems: . 60 min BDT 500 Episodic memory, semantic memory, short-term task state, long-term profile persistence, context compaction, state management Tool Use & Function Calling 60 min BDT 500 JSON schema emission, tool routing, constrained decoding, dynamic arguments generation, error recovery from failed tool Protocols & Tooling Infrastructure 60 min BDT 500 Model Context Protocol (MCP), MCP servers and clients, sandbox environments for safe execution, sandboxed code integration Advanced Data Retrieval: 60 min BDT 500 Agentic Rag, self-correcting retrieval loops, query routing, hybrid search orchestration, GraphRAG for multi-hop graph query