In this module, we’ll introduce the concept of design patterns and how they’re applied to AI agentic workflows. We’ll explore the key AI agentic design patterns and examine how they help structure and streamline intelligent systems. By the end, you’ll understand their critical role in AI development.

In this module, we’ll dive into the Reflection pattern and its application within AI workflows. You’ll gain hands-on experience by building out the Reflection pattern and integrating it with orchestration elements to create a more robust AI system. You’ll also learn to use Ollama Models locally as a cost-free alternative to the OpenAI API, providing you with an efficient, practical tool for AI development.

In this module, we will introduce the Tool Use pattern and demonstrate how it’s implemented in AI agentic workflows. Through hands-on exercises, you’ll build a trip planner workflow, applying this pattern to real-world tasks. By the end, you’ll understand how the Tool Use pattern can streamline AI workflows and enhance functionality.

In this module, we’ll introduce the Planning pattern and ReAct technique, which are essential for decision-making and strategic planning within AI systems. You’ll gain hands-on experience by applying these patterns in practical workflow scenarios. By the end, you’ll have a clear understanding of how these tools support intelligent decision-making in complex tasks.

In this module, we’ll dive into the Multi-agent Collaboration pattern, which facilitates cooperation between multiple AI agents to achieve complex goals. Through hands-on exercises, you’ll explore how these agents work together, gaining valuable experience in developing multi-agent systems. By the end of this section, you’ll be able to design and implement workflows with multiple collaborating agents.

In this final module, we will summarize your key learnings and celebrate your accomplishments. We’ll discuss next steps and available resources to help you continue growing your knowledge and skills in AI agentic workflows. By the end, you’ll have a clear roadmap for advancing your AI expertise.