| S.No |
Topic |
Sub-Topics |
| 1 | Introduction to Autonomous Agents | Definition, Types, Applications, Benefits, Industry trends |
| 2 | Agentic AI Overview | Definition, Difference from traditional AI, Capabilities, Use cases, Examples |
| 3 | Multi-Agent Systems | Definition, Coordination, Communication, Cooperation, Competition |
| 4 | Agent Architectures | Reactive agents, Deliberative agents, Hybrid agents, Layered architectures, Examples |
| 5 | Environment Modeling | State representation, Dynamics, Reward functions, Sensors, Actuators |
| 6 | Perception in Autonomous Agents | Data acquisition, Feature extraction, Object detection, Sensor fusion, Challenges |
| 7 | Decision Making & Planning | Search algorithms, Planning strategies, Utility functions, Heuristics, Optimization |
| 8 | Reinforcement Learning for Agents | Q-learning, Policy gradients, Reward shaping, Exploration vs exploitation, Applications |
| 9 | Goal-Oriented Behavior | Goal representation, Hierarchical planning, Task decomposition, Prioritization, Monitoring |
| 10 | Autonomous Navigation | Path planning, Obstacle avoidance, SLAM, Localization, Motion control |
| 11 | Communication & Coordination | Message passing, Protocols, Distributed planning, Consensus, Collaboration |
| 12 | Learning & Adaptation | Online learning, Transfer learning, Continual learning, Self-improvement, Feedback loops |
| 13 | Simulation Environments | Gazebo, Unity ML-Agents, OpenAI Gym, Custom simulators, Evaluation |
| 14 | Human-Agent Interaction | User interface, Feedback, Trust, Explainability, Collaboration |
| 15 | Task Automation & Robotics | Robotic process automation, Physical robots, Task scheduling, Workflow integration, Examples |
| 16 | Safety & Reliability | Fault tolerance, Error recovery, Risk assessment, Robustness, Monitoring |
| 17 | Ethics & Responsible AI | Decision accountability, Bias mitigation, Fairness, Transparency, Regulatory compliance |
| 18 | Energy & Resource Management | Efficiency optimization, Power management, Resource allocation, Scalability, Constraints |
| 19 | Swarm Intelligence | Flocking behavior, Distributed control, Self-organization, Collective decision making, Applications |
| 20 | Planning under Uncertainty | Probabilistic planning, POMDPs, Risk analysis, Decision making, Examples |
| 21 | Autonomous Agents for NLP | Conversational agents, Chatbots, Task automation, Information retrieval, Language understanding |
| 22 | Autonomous Agents for Vision | Perception, Object recognition, Scene understanding, Navigation, Robotics applications |
| 23 | Autonomous Agents in Finance | Trading agents, Portfolio management, Risk assessment, Fraud detection, Strategy automation |
| 24 | Autonomous Agents in Healthcare | Diagnosis, Treatment planning, Patient monitoring, Robotics, Drug discovery |
| 25 | Tools & Frameworks | LangChain, AutoGPT, Ray, Unity ML-Agents, OpenAI Gym |
| 26 | Evaluation Metrics | Task success rate, Efficiency, Accuracy, Robustness, Adaptability |
| 27 | Integration with Cloud Platforms | AWS, Azure, GCP, Deployment, Scaling, Monitoring |
| 28 | Emerging Trends | Generative agents, Self-improving AI, Multi-modal agents, Autonomous decision making, Research directions |
| 29 | Challenges & Limitations | Computational cost, Safety, Scalability, Generalization, Ethical concerns |
| 30 | Career Path & Opportunities | AI researcher, Robotics engineer, Autonomous systems developer, Skill development, Industry demand |
