AI Agent Design Patterns with Ollama

The landscape of artificial intelligence is rapidly evolving, with AI agents leading the charge in automating complex tasks and creating dynamic, responsive systems. This course provides a foundational understanding of how to design and implement these powerful agents. By the end of this course, you will gain the practical skills to conceptualize, design, and implement fundamental AI agent architectures, transforming your ability to create intelligent, automated solutions. What you'll learn: * Understand the foundational concepts of AI agents and their components. * Explore essential design patterns for building robust and adaptable AI agent systems. * Apply effective prompt engineering strategies to guide agent behavior and decision-making. * Configure and interact with large language models locally using Ollama for agent development. * Implement basic agent architectures incorporating planning, memory, and tool integration. * Practice developing complete AI agent workflows, including simple retrieval-augmented generation (RAG) patterns. This course systematically introduces the principles of agentic AI, progressing from foundational concepts and architectural patterns to practical implementation steps for building and testing agents. This course is designed for beginners interested in AI and automation, with no prior experience in AI agents or Ollama required. Begin your journey into agentic AI and discover how to build intelligent, autonomous systems.