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Master LangChain with No-Code tools: Flowise and LangFlow

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Misbah Syed

5:39:41

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  • 1. Welcome to the LangChain Masterclass!.mp4
    03:20
  • 2. Introduction to LangChain.mp4
    09:43
  • 1. Flowise Installation and Basics.mp4
    21:52
  • 2. LangFlow Installation and Basics.mp4
    13:09
  • 1. A Simple Chat GPT Clone.mp4
    09:52
  • 2. Prompt Templates.mp4
    16:44
  • 3. Multi-Input Prompt Templates.mp4
    04:54
  • 4. Chat Prompt Template.mp4
    03:58
  • 5. Few Shot Prompt Templates.mp4
    06:15
  • 1. Simple LLM Chain.mp4
    02:52
  • 2. Conversation Chain.mp4
    05:00
  • 3. API Chain.mp4
    11:20
  • 4. Sequential Chain.mp4
    08:23
  • 5. Router Chain.mp4
    07:08
  • 6. Retrieval Chain.mp4
    19:00
  • 1. LangChain Memory Types.mp4
    13:08
  • 2. Summarization Use Case.mp4
    12:31
  • 1.1 Agents Masterclass.html
  • 1. Agents Intro.mp4
    02:38
  • 2. Agent Types and Usage in Flowise.mp4
    15:43
  • 3. Agent Tools and Toolkits in LangFlow.mp4
    16:07
  • 4. Zapier Tool.mp4
    09:59
  • 1. Exploring Retrieval Nodes in Flowise.mp4
    17:37
  • 2. Text Files for Retrieval.mp4
    02:36
  • 3. Web Data, Github Repo Loader, and Qdrant Vector DB.mp4
    11:39
  • 4. Embeddings.mp4
    03:48
  • 5. Retrieval Nodes LangFlow.mp4
    04:56
  • 1. Intro To The Section.mp4
    02:27
  • 2. Chat with your Documents with Siri.mp4
    15:42
  • 3. Connecting Flowise to Bubble No-Code App Builder.mp4
    31:36
  • 4. Connecting LangFlow to Bubble No-Code App Builder.mp4
    35:44
  • Description


    The most beginner friendly course on LangChain using complete no-code LangChain frameworks of Flowise and LangFlow

    What You'll Learn?


    • Master LangChain Core Concepts
    • Understand how to use different types of Prompt templates, Chains, and Agents
    • Build Apps using Flowise and LangFlow
    • Build Chat with Document App using various document loaders including PDF, DOCX, TXT, Webpage, Github Repo Loader etc.
    • Build LangChain Agent Apps and connect them with Tools like Zapier, API Calling and Google Search
    • Retrieval based response generation using different Document Loaders, Text Splitters, Vector Stores, and Retrieval Chains

    Who is this for?


  • Motivated learners curious about building LangChain-based Chat Apps
  • Non-technical and technical audiences interested in mastering the no-code LangChain Framework
  • No-code audience interested in connecting no-code app builders with Flowise and LangFlow
  • Business leaders and managers curious to experiment and build Chat-with-data or Chat-with-document apps
  • Anyone interested in building quick prototypes for a use case or startup idea
  • What You Need to Know?


  • No programming experience needed. This beginner-friendly course teaches LangChain using no-code tools: Flowise and LangFlow.
  • No prior ML or AI knowledge needed. If you've used ChatGPT, you're good to start this course.
  • To get the most from this course, it's highly recommended to build each flow/module in Flowise or LangFlow as shown in the video while you watch. Desktop/laptop-based interactive learning is highly suggested.
  • More details


    Description

    Welcome to the comprehensive LangChain course on Udemy, an immersive learning experience designed to transform you into an AI app wizard! Whether you're a complete beginner or have some programming background, this course will equip you with the skills to build AI-powered apps using LangChain, complemented by the ease of no-code tools like Flowise and LangFlow.


    What You'll Learn:

    • Master the art of building ChatGPT clones and Chat with PDF apps without writing a single line of code. Discover the seamless power of Flowise and LangFlow to make your app dreams a reality.

    • Unlock the potential of Autonomous Agent apps and automate tasks like a pro with over 5000+ integrations using Zapier's robust platform, regardless of your coding proficiency.

    • Harness the magic of API Chains, eliminating the need for coding while effectively calling APIs and unleashing endless possibilities for your AI apps.

    • Engage users in captivating conversations by Chatting with documents in various formats, including PDFs, DOCX, TXT, and websites, making your apps more interactive and user-friendly.

    • Acquire in-depth knowledge of LangChain's core elements - chains, agents, tools, and memory, and harness this expertise to create sophisticated and intelligent applications.

    • Seamlessly integrate APIs from Flowise and LangFlow with no-code website builders like Bubble, enabling you to deploy your AI apps with unparalleled ease and efficiency.

    Why Choose This Course:

    • Perfect for absolute beginners with no technical background, we provide comprehensive guidance at every step, making the learning journey smooth and enjoyable.

    • Impress your colleagues, friends, and managers with your GenAI skills, gaining a competitive edge in the evolving world of AI app development.

    • Learn from an expert LangChain developer, certified by the Founder of LangChain as "a langchain expert," ensuring you receive top-tier instruction and industry insights.

    • Engaging explanations and animations make learning LangChain a breeze, helping you grasp complex concepts effortlessly.

    Special Focus on Retrieval:

    • Unlock the secrets of multiple LLM, chat models, and embedding providers, including OpenAI, Cohere, and HuggingFace, elevating your AI apps' capabilities to new heights.

    • Work with various data types, such as PDFs, DOCX, TXT, and Github Repos, enabling you to cater to diverse user needs and deliver exceptional user experiences.

    • Utilize multiple Vector stores, including in-memory, Chroma, Qdrant, and Pinecone, optimizing your app's performance and ensuring seamless data management.

    • Master the art of using various Text Splitters, refining your AI app's accuracy and taking user interactions to a whole new level.

    Requirements:

    • No prior coding experience or AI knowledge is required for this course. It is designed to cater to beginners and those with little technical background, making it accessible to everyone.

    • A passion for learning and a desire to dive into the exciting world of AI app development using LangChain and no-code tools is all you need to get started.

    Who this course is for:

    • Aspiring AI enthusiasts and beginners who want to venture into AI app development without the need for extensive coding knowledge.

    • Entrepreneurs, founders, and business professionals looking to build AI-powered consumer apps for their organizations, regardless of their technical background.

    • Developers and tech enthusiasts who wish to expand their skill set and explore the power of LangChain and no-code tools in the realm of AI app development.

    Benefits of becoming an AI Engineer:

    • With the rapid advancement of AI technology, becoming an AI Engineer opens up exciting career opportunities in various industries. AI-powered apps are transforming businesses and consumer experiences, making AI Engineers highly sought-after professionals.

    • As an AI Engineer, you gain the ability to build intelligent applications that can perform complex tasks, process vast amounts of data, and provide valuable insights, contributing to groundbreaking innovations.

    • Acquiring AI app-building skills sets you apart as an innovative problem solver, giving you a competitive edge in the job market and enhancing your career prospects.

    • By mastering LangChain and no-code tools, you can rapidly prototype and develop AI apps, saving time and resources, and bringing your ideas to life quicker than ever before.

    You'll also get:

    • Access to the course community via Discord server. You can ask questions, brainstorm ideas, and find other motivated learners.

    • Access to course content updates and improvements

    Enroll in this transformative LangChain course today and unlock the door to a world of AI app innovation and career opportunities!

    Who this course is for:

    • Motivated learners curious about building LangChain-based Chat Apps
    • Non-technical and technical audiences interested in mastering the no-code LangChain Framework
    • No-code audience interested in connecting no-code app builders with Flowise and LangFlow
    • Business leaders and managers curious to experiment and build Chat-with-data or Chat-with-document apps
    • Anyone interested in building quick prototypes for a use case or startup idea

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    My name is Misbah Syed and I'm thrilled to be your guide on this incredible learning journey. Let me share a bit about my background and how I can help train you through this course.Firstly, I consider myself fortunate to have been part of some nice achievements in the AI community. I had the honor of winning the Semantic Search Global AI Hackathon, organized by Cohere and Lablab, where my innovative approach secured the first prize. I was also fortunate to win the Multilingual Semantic Search Global AI hackathon organized by Qdrant, Cohere, and Lablab. These experiences have deepened my understanding of LangChain-based AI techniques and their real-world applications.I also had the privilege of winning the Chat Your Data Challenge organized by Harrison Chase, CEO of LangChain. This challenge allowed me to better understand LangChain-based techniques involved in creating intelligent conversational experiences within apps.Beyond competitions, I bring 6 years of industry experience as a Data Scientist and ML Engineer, working on projects spanning various domains including R&D, Manufacturing, Finance, and Healthcare. These hands-on experiences have honed my abilities in delivering practical and impactful AI solutions.I have also collaborated on research projects with the renowned MIT-IBM Watson AI Lab. This association increased my knowledge and provided insights into cutting-edge AI advancements.I'm excited to share my knowledge, guide you and help you unlock your potential. Together, let's get on this learning journey and build remarkable AI-powered apps that will make a positive impact.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 30
    • duration 5:39:41
    • Release Date 2023/10/08