Overview
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
No-code creators who want to build AI agents visually, Developers exploring AI automation and agent frameworks, Product managers and entrepreneurs prototyping AI tools, Anyone interested in Flowise, Langchain, or LLM-powered applications
Basic understanding of AI/LLMs is helpful (not required), Curiosity about no-code tools and AI workflows, A computer with internet access, Free/OpenAI or Anthropic API key (optional but recommended)
This course includes awesome use of artificial intelligence.
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.
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.
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.
This course is beginner-friendly but powerful enough for experienced builders looking to speed up their workflow using visual AI tools.
What You’ll Learn
How to install and configure a visual AI builder on your computer or in the cloud
How to connect leading language models through API keys
How to build agents that use tools, memory, and logic flows
How to create applications that retrieve and respond with your own data
How to visualize multi-step agent workflows
How to deploy, test, and share your completed agents
Requirements
No programming experience required
A basic understanding of artificial intelligence is helpful
A computer with internet access
Access to a language model provider (API key may be needed, free tier is sufficient)
Ready to Build the Future?
AI agents are changing how modern applications are built — and now it’s your chance to get ahead of the curve.
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.
Let’s build something brilliant — see you in the course!
Diogo Alves de Resende
Diogo is a data analytics and business analytics professional with years of experience in the field. He has expertise in various methodologies, including time series forecasting for predicting sales trends, econometrics for analyzing economic data, and machine learning for optimizing marketing campaigns.
His background includes working for a major e-commerce company, where he used these techniques to drive business growth, and collaborating with the United Nations on a Mobile Money project in Lesotho, where he helped increase financial inclusion in the country.
In his courses, Diogo aims to provide practical and applicable knowledge through real-life examples and datasets. For example, he often uses case studies from his own work experiences to illustrate key concepts and demonstrate their relevance in the professional world. His goal is to equip students with the skills and tools necessary to succeed in their own careers in data science.