Langchain & LLMs - Real World AI Projects and Apps in Python

Name: Langchain & LLMs - Real World AI Projects and Apps in Python
Rating: 3.3 (9 reviews)

Build Real world projects in LangChain and LLM Generative AI | ChatGPT, Prompt Engineering, Data Science, RAG

Created byHaebichan Jung | AI/ML Architect @ Snowflake | Previously @ Servicenow

Last updated 9/2025

English

What you'll learn

Develop and utilize LangChain-based apps for real business contexts.
Drive business success and value with AI insights.
Productionize your LLM AI project: show tangible business value to employers and customers
Leverage LangChain for personal wealth growth strategies.

Course content

4 sections • 28 lectures • 2h 57m total length

Introduction: Setup and Quickstart to LangChain2:29
Learn how to set up your development environment for Langchain app creation, ensuring you're ready to embark on your journey to building revenue-generating applications.
Cloning Repository0:40
We'll guide you through the process of cloning the curriculum repository, a crucial step to get you started with your Langchain app development.
Pip install libraries0:38
Install the essential libraries necessary to follow our curriculum effectively. These libraries are the building blocks of your Langchain app development journey.
API Keys Needed2:31
Manage API keys, a vital aspect of developing revenue-generating Langchain apps. Learn how to secure, configure, and utilize API keys effectively in your projects.
Quick Intro to LangChain2:57

Customer Support Bot Demo2:00
Customer Support Bot: Understanding Real-world Business Value4:28
Coding the Foundation: Building Blocks for Your Customer Support Bot12:00
This section is all about hands-on work. You'll learn to code the foundational elements that power your customer support bot, from creating chat interfaces to managing user interactions and integrating data.
Overview: Foundational Building Blocks10:27
Groundwork for your journey into building an effective customer support bot. Here, we'll delve into the essential foundational building blocks, providing you with a comprehensive overview of the key components needed to create a successful and revenue-driving customer support bot using LangChain LLM.
Frontend Development with Jupyter IPywidgets7:14
In this module, you'll immerse yourself in the world of frontend development using Jupyter IPywidgets. Explore the power of interactive widgets to create dynamic and engaging user interfaces. Learn to design and code widgets that enhance the user experience, making your Langchain apps both functional and visually appealing.
Frontend Development with Jupyter IPywidgets (Part 2)7:52
In this module, you'll further immerse yourself in the world of frontend development using Jupyter IPywidgets.
Frontend Development with Jupyter IPywidgets (Part 3)7:02
Deploying Customer Support Bot on Heroku (App)5:23
Discover the step-by-step process of deploying your customer support bot on Heroku. Explore Heroku's capabilities in this hands-on session and make your bot accessible to customers 24/7, enhancing user engagement and potentially boosting revenue.

Automated Analytics Dashboard (LangChain) Demo1:35
Automated Analytics Using LLM: Understanding Real-world Business Potential5:15
Core Problem: What most gets wrong about LLM + analytics integration10:36
We'll uncover the common missteps made when integrating LLM AI for analytics, particularly in the pursuit of automated insights. Gain insights into the pitfalls to avoid and set the course for a more informed and effective approach to leverage LLM for analytics.
Solved: Fully automated analytics solution using LLM6:16
Create fully automated analytics solutions using LLM, with a primary focus on delivering comprehensive, code-driven solutions. Discover how to streamline your analytics processes and generate automated insights, enabling data-driven decisions and boosting profit potential with efficiency and precision.
Frontend development with Streamlit (Visual Charts)8:45
Embark on a journey into frontend development with Streamlit, a powerful framework for creating dynamic and interactive user interfaces. Learn to craft engaging data-driven web applications that not only captivate your audience but also drive user engagement and revenue growth.
Decoding Chart Complexity: Analyzing LLM's Limits in Code Generation13:12
Delve into the spectrum of chart complexity to identify the tipping point at which LLM's code generation capabilities may face challenges. By understanding the relationship between complexity and LLM's performance, you'll be equipped to make informed decisions and optimize your chart creation processes for success.
LangChain as Solution to LLM's Limits5:21
How LangChain can serve as a strategic solution to transcend the inherent limits of LLM when creating visual charts. Explore the power of LLM integration technology within LangChain and learn how to leverage it effectively to optimize your analytics and chart generation processes, paving the way for success in your data-driven endeavors
Next Problem: Limits of LLM AI Technology in Visual Chart Generation3:11
Explore the boundaries where LLM AI may face challenges in the pursuit of automating analytics. Gain valuable insights into the limitations and potential pitfalls, ensuring you are well-prepared to address and overcome these challenges in your analytics automation journey
Seamless Integration: LangChain with Streamlit17:14
Guide through the process of integrating LangChain with Streamlit, a dynamic combination that empowers you to create data-driven web applications. Discover how to harness the capabilities of both platforms for streamlined development, interactive user interfaces, and data-driven insights that can drive your projects to new heights.
LangChain with Streamlit (Part2)7:53
Adding Automated Actionable Insights (Text) to Analytics Automation12:30
Generate actionable textual insights on top of visual charts to help businesses make informed business decisions, identify opportunities, minimize risks.

AI Finance Assistant Demo1:31
Overview: Foundations of Building Your AI Finance Chatbot4:47
Explore the foundational components and business value of your AI finance chatbot, empowering you with real-time financial insights and strategic decision-making.
Harnessing External Docs: Powering Your AI Finance Chatbot with Youtube10:02
Discover how to utilize YouTube search and transcripts to enhance your AI finance chatbot, turning it into a real-time source of valuable financial insights and guidance.
Expanding External Docs: Integrating Google Search into Finance Chatbot3:24
Elevate your finance chatbot with Google Search integration. Expand real-time insights, making it an essential financial decision tool.

Requirements

No prior AI experience required. This course is beginner-friendly in AI / LLM concepts.
Some python experience is required, as there will be coding sessions to deploy LLM apps.
A keen interest in AI and its application in business.

Description

In this comprehensive course, we'll take you on a transformative journey with a laser-focused mission: to equip you with the skills and knowledge to drive substantial business value and generate revenue through AI-powered solutions.

This course is not about toy projects for personal entertainment—it's about real, tangible results with long-lasting impacts. Here's why it's essential:

Relevance in the AI Field: In the ever-evolving landscape of AI, demonstrating your ability to create AI solutions that impact the bottom line is key. Whether you're seeking career growth or new opportunities, this course provides you with projects that matter to employers and set you apart in a competitive job market.

Personal Financial Empowerment: It's not just about business. Your personal financial education matters, and this course empowers you with a personal AI finance chatbot that will guide your financial decisions and potentially improve your wealth management strategies.

Hands-On Business Solutions: You won't find abstract theories here. You'll dive into the creation of AI-driven customer support bots, automated business analytics dashboards, and a personal AI finance chatbot. Each project is designed to enhance user engagement, streamline business processes, and ultimately contribute to revenue growth.

Unlock the Power of LangChain and LLM We're not just teaching the basics. We're unlocking the full potential of LangChain and LLM, ensuring you're at the forefront of AI technology and its applications for business and personal success.

This course is tailored for seasoned business professionals looking to supercharge their careers, aspiring entrepreneurs eager to gain a competitive edge, and anyone seeking to maximize personal wealth. It equips you with the expertise and hands-on experience needed to maximize business value and generate revenue.

Don't settle for theory alone. Join us today and transform your understanding of AI into tangible results that matter—not just in theory, but in real life."

This extended description reinforces the importance of your course in both professional and personal contexts, highlighting the value it brings to learners in terms of job applications, financial education, and its direct impact on business value and revenue generation.

Who this course is for:

Beginners: Individuals with little to no prior experience in AI and data science, seeking a comprehensive introduction to AI and its practical application.
Entrepreneurs: Business owners and aspiring entrepreneurs looking to leverage AI for revenue growth and competitive advantage.
Data Enthusiasts: Anyone passionate about data and its potential, eager to explore how AI can drive real-world business outcomes.
Professionals: Data scientists, analysts, and IT professionals interested in expanding their skills and exploring the profitable side of AI.
Career Changers: Those considering a transition into AI and data science fields for its promising career prospects.

Langchain & LLMs - Real World AI Projects and Apps in Python

What you'll learn

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Course content

Introduction5 lectures • 9min

Customer Support Bot with LangChain (Project)8 lectures • 56min

Automated Business Analytics Dashboard with LangChain (Project 2)11 lectures • 1hr 32min

Real-time AI Finance Assistant with LangChain (Project 3)4 lectures • 20min

Requirements

Description

Who this course is for: