Overview What You Will Learn Curriculum Instructor

Course Overview

Transform your ideas into powerful AI applications without writing a single line of code! This comprehensive Flowise course takes you from complete beginner to advanced AI workflow creator, teaching you to build sophisticated chatbots, document retrieval systems, and autonomous agents using visual programming. Flowise is revolutionizing how we create AI applications by providing an intuitive, drag-and-drop interface for building complex LLM workflows. Whether you're a business owner looking to automate customer service, a content creator wanting to streamline research, or an entrepreneur building AI-powered products, this course provides everything you need. You'll start with the fundamentals, installing Flowise, understanding its interface, and creating your first simple workflows. Then dive deep into advanced features like conversational agents, document retrieval systems, and multi-prompt chains. Through hands-on projects, you'll build a PDF Q&A chatbot, create API endpoints for external integration, and develop sophisticated agentic systems. The course covers both Flowise Agents V1 and the latest V2 features, including advanced capabilities like branch-out merge-in patterns, portfolio management agents, and financial research systems. You'll master text summarization, conditional logic, and state management while building real-world applications. By the end, you'll have created multiple AI agents capable of complex reasoning, multi-tool usage, and autonomous task execution, all through Flowise's powerful no-code platform.

What You Will Learn

  • Build and configure Flowise and Langflow workflows using low-code visual development.
  • Create LLM applications and RAG systems using document processing, embeddings, vector stores, and retrieval.
  • Develop AI agents and Agentic RAG workflows with multi-tool capabilities and state management.
  • Integrate and deploy AI workflows using APIs, MCP servers, external tools, and cloud services.
  • Develop practical AI applications for research, content creation, meeting summarization, sentiment analysis, and YouTube analysis.

Program Curriculum

  • Course Overview
  • What is Flowise and Why Use It?
  • Chapter 1 Quiz

  • Installing and Setting Up Flowise Locally or on Cloud
  • Installing Flowise with Docker
  • Chapter 2 Quiz

  • Navigating the Flowise Interface
  • Understanding Nodes and Connections
  • Creating Your First Simple Flowise Workflow
  • Chapter 3 Quiz

  • LLM Chain
  • Multi Prompt Chain
  • Conversational Agent
  • Document Retrieval
  • Chapter 4 Quiz

  • Chapter 5: Mini Project Creating a Q&A Chatbot with PDF Retrieval
  • Document Loading and Text Processing
  • Chunking, Embedding, and Vector Store Setup
  • Building the Retrieval Chain with Flowise Nodes
  • Chapter 5 Quiz

  • Embedding Flowise Workflows into External Applications
  • Exposing Your Flow as an API Endpoint
  • Sharing Your Flow as a Playground
  • Chapter 6 Quiz

  • Text Summarization with Chat Anthropic
  • Conditional Logic with If Else Function
  • Chapter 7 Quiz

  • Portfolio Team Management
  • Lead Outreach
  • Branch Out Merge In
  • Chapter 8 Quiz

  • What's New with Flowise Agent V2?
  • Deep Research Multi-tool Agent
  • Email Reply Multi-tool Agent
  • Iterations in Agent Flows
  • Financial Research Multi-tool Agent
  • Chapter 9 Quiz

  • Introduction to Agentic RAG and Foundation Setup
  • Building the Core Workflow
  • Advanced Features, State Management
  • Finalizing the Workflow and System Testing
  • Chapter 10 Quiz

  • Chapter 11: Conclusion and What's Next
  • Reflecting on What You've Built with Flowise
  • Comparing Flowise with Other Low-code LLM Tools
  • Advanced Topics and Next Steps
  • Chapter 11 Quiz

  • Course Overview
  • What is Langflow?
  • Installing and Configuring Langflow
  • Overview of Langflow Interface
  • Langflow Components
  • Creating Your First Simple Langflow Workflow
  • Chapter 12 Quiz

  • Using the API Access
  • Publishing as an Embedded and Sharable Playground
  • Publishing as MCP Server
  • Chapter 13 Quiz

  • Introduction to Document Extraction in Langflow
  • Setting Up Your Document Extraction and Processing Flow
  • Using and Testing Your Document Q&A System
  • Chapter 14 Quiz

  • Chapter 15: Mini Project - Building a Chatbot with Retrieval-augmented Generation (RAG)
  • Introduction to Retrieval-augmented Generation (RAG)
  • Setting Up a Document Retrieval System in Langflow
  • Integrating RAG into the Chatbot Workflow
  • Testing the RAG Chatbot
  • Chapter 15 Quiz

  • Search Agent with Scrapegraph AI
  • Simple Agent with URL and Calculator Tools
  • Social Media Agent with Apify
  • Chapter 16 Quiz

  • Chapter 17: Mini Project - Build a Research Agent with Tavily
  • Project Setup & Search Integration
  • Agent Setup & Model Integration
  • Conducting Searches and Analyzing Results
  • Chapter 17 Quiz

  • Getting Started with Meeting Summary Generator
  • Mastering Transcription with AssemblyAI Components
  • Creating Perfect Meeting Summaries
  • Chapter 18 Quiz

  • Project Setup & Basic Components
  • OpenAI Integration & Model Configuration
  • Generating Sentiments with the LLM
  • Chapter 19 Quiz

  • Blog Writer Application
  • Twitter Thread Generator
  • Instagram Copywriter
  • Chapter 20 Quiz

  • Chapter 21: Final Project - AI-powered YouTube Analysis with Langflow
  • Foundation & Input Setup
  • YouTube Data Extraction Components
  • AI Analysis & Output Configuration
  • Deployment of YouTube Analyzer
  • Chapter 21 Quiz
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Instructor

Meta Brains

Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for Coding, Finance & Excel. We bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, we're focused on the next great revolution in computing: The Metaverse. Our ultimate objective is to train the next generation of talent so we can code & build the metaverse together!

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