Build AI Agents with Flowise AI. Easy and No-Code AI

This course includes awesome use of artificial intelligence.<div><br><div></div><div>Unlock the power of autonomous AI agents — without writing a single line of code. In this practical, fast-paced course, you’ll learn how to build, deploy, and optimize smart AI agents using a visual no-code framework built on a popular agent and workflow orchestration platform. </div><div><br></div><div>Whether you're an entrepreneur, developer, or AI enthusiast, this course gives you the tools to create real-world intelligent applications in just one hour. From setup and configuration to designing flows with memory, logic, and intelligent data handling — you’ll gain a complete understanding of how to visually architect intelligent systems. </div><div><br></div><div>You'll explore how AI agents can make decisions, interact with tools, and retrieve information — all using an intuitive drag-and-drop interface. You'll also learn how to integrate document-based knowledge, enable smart memory, and build retrieval-powered applications that can answer questions based on your data. </div><div><br></div><div>This course is beginner-friendly but powerful enough for experienced builders looking to speed up their workflow using visual AI tools.</div><div><br></div><div>Ready to Build the Future? </div><div><br></div><div>AI agents are changing how modern applications are built — and now it’s your chance to get ahead of the curve. </div><div><br></div><div>Join today and build your first intelligent AI agent — visually, and without writing code. In less than an hour, you’ll create something powerful, practical, and shareable. </div><div><br></div><div>Let’s build something brilliant — see you in the course!</div><div> </div><div> </div><div> </div><div> </div><div> </div><div> </div></div>

What you'll learn:

• How to install and use Flowise locally or on the cloud
• Connecting OpenAI, Claude, or custom LLMs to Flowise
• Building agents with tools, memory, and decision-making capabilities
• Using retrievers to create RAG (retrieval-augmented generation) apps
• Visualizing agent flows, chains, and routing in Flowise
• Deploying and sharing your Flowise agents with others