Free course on AI App Development with FlowiseAI & Langchain

Free course on AI App Development with FlowiseAI & Langchain, available at Free, with 10 lectures, and has 578 subscribers.

You will learn about Understand the LangChain framework and its applications in AI development. Learn how to set up and install FlowiseAI on various cloud platforms (AWS, GCP, Azure). Build AI-powered applications without coding using FlowiseAI. Create chatflows and LLM chains to automate conversations and tasks. Combine multiple chains to create complex AI workflows. Develop a personal assistant using FlowiseAI. Design chatbots with long-term memory to enhance user interactions. Integrate FlowiseAI with external models and data sources to analyze and predict outcomes. By the end of this course, learners will be able to harness the power of FlowiseAI to build innovative AI applications and integrate them with various cloud. This course is ideal for individuals who are AI and ML enthusiasts: Individuals interested in AI, machine learning, and natural language processing (NLP) who want to explore the capabilities of FlowiseAI. or Developers and engineers: Software developers, data scientists, and engineers who want to build AI-powered applications without extensive coding knowledge. or Business professionals: Entrepreneurs, product managers, and business analysts who want to leverage AI to automate tasks, improve customer interactions, and drive business growth. or Data analysts and scientists: Data analysts and scientists who want to integrate FlowiseAI with their existing data workflows to gain insights and make predictions. or Chatbot developers: Developers who want to build conversational AI applications with long-term memory and integrate them with various platforms. or Cloud professionals: Cloud architects, engineers, and administrators who want to deploy FlowiseAI on AWS, GCP, or Azure. or Students and researchers: Students and researchers in AI, machine learning, and NLP who want to explore the capabilities of FlowiseAI and its applications. or Build AI-powered applications without coding: Learners will be able to build AI applications using FlowiseAI's visual interface. or Automate tasks and workflows: Learners will be able to automate tasks and workflows using FlowiseAI's chatflows and LLM chains. or Integrate FlowiseAI with cloud platforms: Learners will be able to deploy FlowiseAI on AWS, GCP, or Azure and integrate it with their existing cloud infrastructure. or Create conversational AI applications: Learners will be able to build chatbots with long-term memory and integrate them with various platforms. or Analyze and predict outcomes: Learners will be able to integrate FlowiseAI with external data sources to analyze and predict outcomes. or Develop a personal assistant: Learners will be able to build a personal assistant using FlowiseAI. or Combine multiple chains: Learners will be able to combine multiple chains to create complex AI workflows. or Integrate Hugging Face models: Learners will be able to integrate Hugging Face models into their FlowiseAI applications. It is particularly useful for AI and ML enthusiasts: Individuals interested in AI, machine learning, and natural language processing (NLP) who want to explore the capabilities of FlowiseAI. or Developers and engineers: Software developers, data scientists, and engineers who want to build AI-powered applications without extensive coding knowledge. or Business professionals: Entrepreneurs, product managers, and business analysts who want to leverage AI to automate tasks, improve customer interactions, and drive business growth. or Data analysts and scientists: Data analysts and scientists who want to integrate FlowiseAI with their existing data workflows to gain insights and make predictions. or Chatbot developers: Developers who want to build conversational AI applications with long-term memory and integrate them with various platforms. or Cloud professionals: Cloud architects, engineers, and administrators who want to deploy FlowiseAI on AWS, GCP, or Azure. or Students and researchers: Students and researchers in AI, machine learning, and NLP who want to explore the capabilities of FlowiseAI and its applications. or Build AI-powered applications without coding: Learners will be able to build AI applications using FlowiseAI's visual interface. or Automate tasks and workflows: Learners will be able to automate tasks and workflows using FlowiseAI's chatflows and LLM chains. or Integrate FlowiseAI with cloud platforms: Learners will be able to deploy FlowiseAI on AWS, GCP, or Azure and integrate it with their existing cloud infrastructure. or Create conversational AI applications: Learners will be able to build chatbots with long-term memory and integrate them with various platforms. or Analyze and predict outcomes: Learners will be able to integrate FlowiseAI with external data sources to analyze and predict outcomes. or Develop a personal assistant: Learners will be able to build a personal assistant using FlowiseAI. or Combine multiple chains: Learners will be able to combine multiple chains to create complex AI workflows. or Integrate Hugging Face models: Learners will be able to integrate Hugging Face models into their FlowiseAI applications.

Enroll now: Free course on AI App Development with FlowiseAI & Langchain

Summary

Title: Free course on AI App Development with FlowiseAI & Langchain

Price: Free

Number of Lectures: 10

Number of Published Lectures: 10

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

• Understand the LangChain framework and its applications in AI development.
• Learn how to set up and install FlowiseAI on various cloud platforms (AWS, GCP, Azure).
• Build AI-powered applications without coding using FlowiseAI.
• Create chatflows and LLM chains to automate conversations and tasks.
• Combine multiple chains to create complex AI workflows.
• Develop a personal assistant using FlowiseAI.
• Design chatbots with long-term memory to enhance user interactions.
• Integrate FlowiseAI with external models and data sources to analyze and predict outcomes.
• By the end of this course, learners will be able to harness the power of FlowiseAI to build innovative AI applications and integrate them with various cloud.

Who Should Attend

• AI and ML enthusiasts: Individuals interested in AI, machine learning, and natural language processing (NLP) who want to explore the capabilities of FlowiseAI.
• Developers and engineers: Software developers, data scientists, and engineers who want to build AI-powered applications without extensive coding knowledge.
• Business professionals: Entrepreneurs, product managers, and business analysts who want to leverage AI to automate tasks, improve customer interactions, and drive business growth.
• Data analysts and scientists: Data analysts and scientists who want to integrate FlowiseAI with their existing data workflows to gain insights and make predictions.
• Chatbot developers: Developers who want to build conversational AI applications with long-term memory and integrate them with various platforms.
• Cloud professionals: Cloud architects, engineers, and administrators who want to deploy FlowiseAI on AWS, GCP, or Azure.
• Students and researchers: Students and researchers in AI, machine learning, and NLP who want to explore the capabilities of FlowiseAI and its applications.
• Build AI-powered applications without coding: Learners will be able to build AI applications using FlowiseAI's visual interface.
• Automate tasks and workflows: Learners will be able to automate tasks and workflows using FlowiseAI's chatflows and LLM chains.
• Integrate FlowiseAI with cloud platforms: Learners will be able to deploy FlowiseAI on AWS, GCP, or Azure and integrate it with their existing cloud infrastructure.
• Create conversational AI applications: Learners will be able to build chatbots with long-term memory and integrate them with various platforms.
• Analyze and predict outcomes: Learners will be able to integrate FlowiseAI with external data sources to analyze and predict outcomes.
• Develop a personal assistant: Learners will be able to build a personal assistant using FlowiseAI.
• Combine multiple chains: Learners will be able to combine multiple chains to create complex AI workflows.
• Integrate Hugging Face models: Learners will be able to integrate Hugging Face models into their FlowiseAI applications.

Target Audiences

• AI and ML enthusiasts: Individuals interested in AI, machine learning, and natural language processing (NLP) who want to explore the capabilities of FlowiseAI.
• Developers and engineers: Software developers, data scientists, and engineers who want to build AI-powered applications without extensive coding knowledge.
• Business professionals: Entrepreneurs, product managers, and business analysts who want to leverage AI to automate tasks, improve customer interactions, and drive business growth.
• Data analysts and scientists: Data analysts and scientists who want to integrate FlowiseAI with their existing data workflows to gain insights and make predictions.
• Chatbot developers: Developers who want to build conversational AI applications with long-term memory and integrate them with various platforms.
• Cloud professionals: Cloud architects, engineers, and administrators who want to deploy FlowiseAI on AWS, GCP, or Azure.
• Students and researchers: Students and researchers in AI, machine learning, and NLP who want to explore the capabilities of FlowiseAI and its applications.
• Build AI-powered applications without coding: Learners will be able to build AI applications using FlowiseAI's visual interface.
• Automate tasks and workflows: Learners will be able to automate tasks and workflows using FlowiseAI's chatflows and LLM chains.
• Integrate FlowiseAI with cloud platforms: Learners will be able to deploy FlowiseAI on AWS, GCP, or Azure and integrate it with their existing cloud infrastructure.
• Create conversational AI applications: Learners will be able to build chatbots with long-term memory and integrate them with various platforms.
• Analyze and predict outcomes: Learners will be able to integrate FlowiseAI with external data sources to analyze and predict outcomes.
• Develop a personal assistant: Learners will be able to build a personal assistant using FlowiseAI.
• Combine multiple chains: Learners will be able to combine multiple chains to create complex AI workflows.
• Integrate Hugging Face models: Learners will be able to integrate Hugging Face models into their FlowiseAI applications.