5-Hour Agentic AI Course: Complete Interview Preparation

By Mukul Raina

Master agentic AI systems and ace technical interviews with this comprehensive guide to building production-ready LLM agents. Gain hands-on expertise in execution patterns, tool calling, RAG pipelines, multi-agent coordination, and system reliability through practical architectural designs and Python implementations.

Table of Contents

5-Hour Agentic AI Course: Complete Interview Preparation

Table of Contents

Foundations of Agentic Systems and Autonomy Levels

Execution Loops, Halting Bounds, and State Structures

LLM Token Sizing, Context Budgets, and Cost Scaling

Sampling Determinism, Hallucinations, and Output Control

Sequential Agent Chains and Stepwise Verification

Dynamic Routing, Intent Classifiers, and Multi-Step Handlers

The ReAct Pattern: Reasoning, Acting, and Tool Invocation

Structured Tool Schemas, Pydantic, and Parsing Defense

Parallel Tool Execution, Async Workflows, and MCP

Short-Term Memory Management and Window Truncation

Long-Term Persistence, Summarization, and Scratchpads

Vector Ingestion, Embedding Models, and Chunk Optimization

Hybrid Retrieval, PGVector Indexing, and Re-ranking

RAG vs Fine-Tuning Architectural Trade-Offs

Multi-Agent Systems: Supervisor-Worker & Peer Orchestration

Agent Boundaries, Failure Modes, and Resilient Retries

Idempotency, State Rollbacks, and Loop Safety Budgets

Security: Direct & Indirect Prompt Injection Defenses

Guardrails, PII Masking, and Human-in-the-Loop Systems

System Evaluation: Metrics, LLM Judges, and Golden Datasets

Cost Optimization: Model Cascading and Semantic Caching

Latency Reduction: Streaming, TTFT, and Connection Pooling

Stateless Distributed Architecture & Capacity Scaling

End-to-End Enterprise Support Architecture Walkthrough

System Design Interview Strategy & Communication Guide

Hands-On Code: Core Execution Loop & Tool Registry

Hands-On Code: Dynamic Context Pruning & Sliding Windows

Hands-On Code: Security Filters, PII, and HITL Logic

Hands-On Code: Observability, Tracing IDs, and Metric Capture

Hands-On Code: Multi-Tier Model Fallbacks & Async Tools

Interview Deep-Dive: Enterprise Failure Scenarios

Interview Deep-Dive: Cost & Latency SLA Negotiations

Master Synthesis and Interview Readiness Checklist