Agents, Agentic AI & Frameworks

25 interview prep topics with adaptive MCQ tests.

AI Agent
AI Agents represent the frontier of artificial intelligence engineering, shifting the paradigm from passive,…
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Agentic AI
Agentic AI represents a paradigm shift in artificial intelligence, moving from passive, prompt-response systems to…
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Multi-Agent Systems
Multi-Agent Systems (MAS) represent a paradigm shift in AI engineering, moving from single, monolithic LLM prompts to…
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Agent Memory
Agent Memory is the foundational cognitive architecture that enables AI agents to persist, retrieve, and update…
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Agent Planning
Agent planning is a foundational cognitive capability in modern agentic AI systems. It refers to an AI agent's capacity…
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Tool Calling
Tool calling is a foundational capability in modern AI engineering that allows Large Language Models (LLMs) to interact…
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Agent Cost Tracking and Token Budgeting
Agent cost tracking and token budgeting are critical engineering disciplines in 2026 as autonomous AI systems move from…
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AI Agent Evaluation
AI Agent Evaluation is the critical discipline of measuring the performance, reliability, and safety of autonomous…
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Agent Human-in-the-Loop
Agent Human-in-the-Loop (HITL) refers to the architectural design pattern where AI agents pause their autonomous…
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Agent Sandboxing & Code Execution Safety
Agent sandboxing and code execution safety have become critical pillars of AI engineering in 2026 as autonomous agents…
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Agent-to-Agent (A2A) Protocol
The Agent-to-Agent (A2A) Protocol represents the emerging standard for enabling autonomous agents to communicate,…
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AutoGen
AutoGen is a robust open-source framework developed by Microsoft for building multi-agent LLM applications. In 2026, as…
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CrewAI
CrewAI is a leading framework for orchestrating role-based autonomous agents to perform complex, multi-step workflows.…
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MCP Client Architecture
Model Context Protocol (MCP) client architecture is a critical skill for engineers building agentic systems that…
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MCP Server Architecture
The Model Context Protocol (MCP) has emerged as the industry-standard interface for connecting AI agents to external…
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Multi-Agent Orchestration Patterns
Multi-Agent Orchestration Patterns define the structural frameworks used to coordinate multiple autonomous AI agents to…
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ReAct (Reasoning and Acting)
ReAct (Reasoning and Acting) is a foundational prompting pattern that enables LLMs to interleave verbal reasoning with…
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Semantic Kernel
Semantic Kernel is an open-source SDK that enables developers to integrate Large Language Models (LLMs) into…
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Real-Time Voice Agents
Real-Time Voice Agents represent the next frontier in conversational AI, moving beyond text-based LLM interactions to…
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LangChain
LangChain has established itself as the industry-standard orchestration framework for building applications powered by…
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LangGraph
LangGraph is a specialised library built on top of LangChain for constructing stateful, cyclic, multi-actor…
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LlamaIndex
LlamaIndex is the leading data framework for building RAG (Retrieval-Augmented Generation) pipelines and LLM-powered…
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DSPy
DSPy (Declarative Self-improving Language Programs) represents a paradigm shift in AI engineering, moving from manual…
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PydanticAI
PydanticAI is a Python framework for building type-safe, production-grade AI agents, developed by the creators of…
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Hugging Face Transformers & Datasets
Hugging Face Transformers and Datasets have solidified their positions as the foundational ecosystem for modern natural…
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