AI systems rely on a structured workflow stack to function efficiently, integrating tools and frameworks for data processing, model deployment, automation, and decision-making. This course will break down the key components of the AI workflow stack, helping you understand how AI agents, memory, vector databases, APIs, and automation frameworks work together to drive efficiency and innovation.
Whether you’re a business leader, developer, or AI enthusiast, this course provides a clear roadmap to navigating the AI ecosystem—from data storage to intelligent automation.
This course is designed for business professionals, developers, AI practitioners, and decision-makers looking to understand the AI workflow stack and its applications.
No. While technical concepts will be covered, the course is structured to be accessible to both technical and non-technical learners.
You'll gain a structured understanding of AI workflows, including how different components work together to build AI-driven solutions.
This course is designed to be concise yet comprehensive, delivering actionable insights in a short, digestible format.
Yes! The course includes practical demonstrations and real-world applications to help you see the AI workflow stack in action.
Features
- Breakdown of the AI workflow stack—key components and their roles.
- Understanding AI memory and storage—how AI retains and processes information.
- Exploring vector databases and their role in powering AI applications.
- AI agents and automation—how they work together to streamline workflows.
- Practical use cases demonstrating AI workflow in action.
- Step-by-step insights into integrating AI workflows into business processes.
- Comparison of popular AI tools and frameworks for workflow optimization.