What is an AI Agent?
AI vs. Traditional SW
Rationality in AI Agents
PEAS Framework
Environment Types
Autonomy Explained
Reactivity and Agents
Pro-activeness Defined
Social Ability of Agents
Balancing Agent Traits
Simple Reflex Agents
Model-Based Reflex Agents
Goal-Based Agents
Utility-Based Agents
Agent Type Selection
Reflex Agent Architectures
Model-Based Architectures
Goal-Based Architectures
Utility-Based Architecture
Hybrid Architectures
What is Perception?
Types of Sensors
Sensor Data Processing
Environment Modeling
Uncertainty in Perception
Sense-Plan-Act (SPA)
SPA: Sensing Stage
SPA: Planning Stage
SPA: Acting Stage
Beyond SPA
LLMs in AI Agents
LLMs: Reasoning
LLMs: Planning
Prompt Engineering
LLMs: Limitations
Intro to Vector DBs
Vector DB Indexing
Vector DB Querying
Scaling Vector DBs
Vector DB Integration
Intro to Knowledge Graphs
KG Construction
KG Reasoning
KG Querying
KGs & AI Agents
RL Fundamentals
Markov Decision Proc.
Rewards and Policies
Value Functions
RL Algorithm Types
Q-learning Overview
SARSA Algorithm
Deep Q-Networks (DQN)
Q-learning vs SARSA
DQN Improvements
AI Agents in Healthcare
AI Agents in Finance
AI Agents in Retail
AI Agents in Manufacturing
AI Agents in Education
Bias in AI Agents
Transparency in AI Agents
AI Agent Accountability
Multi-Agent Systems
Future of AI Agents