Overview

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No-code AI development is becoming one of the fastest ways to build intelligent applications without writing complex code. In this hands-on course, you’ll learn how to use Flowise, a visual no-code AI workflow platform that helps you build LLM-powered workflows, prompt chains, RAG systems, tool-using agents, and deployable AI applications through an intuitive drag-and-drop interface. You’ll begin by understanding the foundations of Agentic AI and no-code AI development, including how AI workflow platforms work, how nodes connect, and how data flows through a visual workflow. Then, you’ll move through practical exercises from setting up Flowise and configuring model providers to creating prompt templates, generating structured JSON outputs, building multi-step chains, designing RAG workflows, connecting tools, adding guardrails, and deploying complete AI workflows. By the end of this course, you will be able to: -Define the core concepts of Agentic AI, no-code AI development, Flowise workflows, nodes, chains, tools, and data flow. -Set up Flowise, configure model providers, connect LLMs, manage API keys, and understand token usage and AI API costs. -Design reliable prompts, use variables, generate structured JSON outputs, and build multi-step LLM processing chains. -Build document-grounded RAG workflows using document loading, chunking, embeddings, vector stores, metadata, and retrieval optimization. -Create tool-using agents, handle failed tool calls, apply guardrails, evaluate workflow performance, and deploy AI workflows responsibly. This course is designed for beginners, software developers, AI enthusiasts, automation professionals, business analysts, product teams, and learners who want to build AI-powered workflows without writing full application code. If you are new to Flowise, no-code AI tools, or Agentic AI workflows, this course provides a practical starting point. Learners should have basic familiarity with AI and an interest in building workflow-based applications. Prior coding experience is helpful but not required. Familiarity with APIs, prompts, documents, and basic web tools will make the hands-on exercises easier to follow. Enroll now and learn how to design, build, test, evaluate, and deploy AI workflows with Flowise. Start with the fundamentals, practice with real no-code AI workflows, and build confidence using visual AI development as part of modern automation and application-building workflows.

Syllabus

Flowise Foundations and AI Workflow Development

Build a strong foundation in Agentic AI and no-code AI development using Flowise. Explore its visual workflow builder, configure model providers and API keys, understand AI API costs, and create your first AI workflow using nodes, chains, prompts, and data flow.

Prompt Engineering Structured Outputs and RAG Workflows

Develop practical skills in building reliable AI workflows with prompt templates, variables, structured JSON outputs, and multi-step LLM chains. Explore RAG by loading documents, creating embeddings, using vector stores, and improving retrieval through chunking, metadata, and Top-K tuning.

Flowise Agents Tool Integration Evaluation and Deployment

Build intelligent AI agents in Flowise using external tools, guardrails, and failure handling. Learn to evaluate workflows for accuracy, latency, cost, and safety while applying prompt injection protection, security practices, deployment, monitoring, and optimization for production-ready no-code AI workflows.