Intelligent Agents and Search Algorithms
Completed by Tej Kumar Balusu
March 15, 2026
12 hours (approximately)
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What you will learn
Explain rational agents, decision-making models, performance measures, and environment types (deterministic, stochastic, episodic, sequential).
Analyze search strategies using completeness, optimality, time complexity, and space complexity to evaluate performance trade-offs.
Formulate effective heuristics to guide informed search algorithms and improve efficiency and solution quality.
Implement search algorithms like A* and greedy best-first search to solve pathfinding and structured search problems.
Skills you will gain
- Category: Model Optimization
- Category: Technical Design
- Category: Computational Thinking
- Category: Solution Design
- Category: Artificial Intelligence
- Category: Performance Testing
- Category: Graph Theory
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Algorithms
- Category: Agentic systems
