This course teaches the practical application of AI Agentic Design Patterns to optimize intelligent workflows. You’ll begin with an introduction to AutoGen and Ollama Models, setting up your development environment to maximize learning. The first design pattern, Reflection, helps you create systems that can introspect and improve their processes. The Tool Use pattern follows, showing how to enhance workflows by incorporating external tools for more effective decision-making. You’ll then dive into the Planning-ReAct pattern, where you'll learn to implement decision-making strategies, enabling AI systems to plan and react in real-time. The course concludes with the Multi-agent Collaboration pattern, which teaches you how multiple AI agents can cooperate to solve complex tasks. Throughout the course, hands-on exercises allow you to directly apply each pattern in real-world scenarios. By the end, you’ll be skilled in designing, implementing, and optimizing intelligent workflows using these four key design patterns. You will also gain experience using Ollama Models locally, avoiding API costs while building scalable AI solutions. Whether you're a developer or system architect, this course equips you with the tools to create efficient, innovative AI workflows.