This course provides a comprehensive introduction to building intelligent AI agents that go beyond simple prompt-based interactions. It covers foundational concepts like large language models (LLMs), agent architectures, and how agents use reasoning, memory, and external tools to perform complex tasks. The course progresses to advanced topics, including multi-agent collaboration, autonomous decision-making, and designing systems that can plan, reflect, and adapt over time. Learners gain hands-on experience creating single and multi-agent systems, integrating APIs, and applying evaluation techniques to improve agent reliability and performance in real-world scenarios.