Unit 1: Fundamentals of Autonomous Agents
Unit 2: Agent Architectures and Capabilities
Building Autonomous AI Agents: A Practical Guide
Learn how to build, deploy, and manage autonomous AI agents that can perceive, reason, and act in complex environments.
Unit 1: BDI (Belief-Desire-Intention) Architecture
Unit 2: Reinforcement Learning-Based Agents
Unit 1: Problem Definition and Environment Modeling
Unit 2: Architecture Selection and Implementation
Unit 3: Perception and Action Implementation
Unit 4: Reasoning and Decision-Making Design
Unit 1: Sensing the Environment
Unit 2: Information Extraction
Unit 1: Reasoning Techniques
Unit 2: Decision-Making Algorithms
Unit 1: Actuators and Interfaces
Unit 2: Control Algorithm Design
Unit 1: ROS (Robot Operating System)
Unit 2: OpenAI Gym
Unit 3: TensorFlow Agents
Unit 4: LangChain for Autonomous Agents
Unit 1: Autonomous Vehicles
Unit 2: Healthcare Applications
Unit 3: Finance and Trading
Unit 4: Smart Cities and Home Automation
Unit 1: Bias and Fairness
Unit 2: Transparency and Accountability
Unit 3: Safety and Reliability
Unit 1: Multi-Agent Systems
Unit 2: Human-Agent Collaboration
Unit 3: Explainable AI (XAI) for Agents
Unit 4: LLMs for Enhanced Reasoning and Decision-Making