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Tom Chant
This course is meticulously designed to navigate learners through the process of building AI applications utilizing the LangChain library. This course begins with an introduction by LangChain's lead maintainer, Jacob Lee, providing a foundational understanding directly from an expert's perspective.
As the course unfolds, learners will work through app flow diagrams, setup of databases with Supabase, text processing techniques, and the creation of intricate prompt templates. They will learn to develop starter code, add logic chains for retrieval and processing, and design a user interface for their applications.
Read more
This course is meticulously designed to navigate learners through the process of building AI applications utilizing the LangChain library. This course begins with an introduction by LangChain's lead maintainer, Jacob Lee, providing a foundational understanding directly from an expert's perspective.
As the course unfolds, learners will work through app flow diagrams, setup of databases with Supabase, text processing techniques, and the creation of intricate prompt templates. They will learn to develop starter code, add logic chains for retrieval and processing, and design a user interface for their applications.
Read more
This course is meticulously designed to navigate learners through the process of building AI applications utilizing the LangChain library. This course begins with an introduction by LangChain's lead maintainer, Jacob Lee, providing a foundational understanding directly from an expert's perspective.
As the course unfolds, learners will work through app flow diagrams, setup of databases with Supabase, text processing techniques, and the creation of intricate prompt templates. They will learn to develop starter code, add logic chains for retrieval and processing, and design a user interface for their applications.
Each module is crafted to enhance the learner's coding skills, with super challenges that test their ability to apply learned concepts in complex scenarios. The course culminates with a solo project where learners build a personal assistant app, solidifying their coding expertise and understanding of AI app development.
The unique aspect of this course lies in its specific focus on LangChain, offering hands-on experience with this cutting-edge tool in the AI landscape, and preparing learners for the next generation of AI app development.
Register for this course and see more details by visiting:
OpenCourser.com/course/eeosmx/build
What's inside
Syllabus
Build AI apps with LangChain JS
Learn the basics of LangChain.js and build an internal company knowledge base using retrieval from a vector database.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides hands-on experience with LangChain, a novel AI app development tool
Taught by LangChain's lead maintainer, Jacob Lee, offering direct expert insights
Focuses on LangChain JS, a specific library for building AI applications
Guides learners through the process of building AI applications from start to finish
Includes super challenges to test learners' ability to apply learned concepts
Save this course
Save Build AI Apps with LangChain.js to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Build AI Apps with LangChain.js with these
activities:
Review fundamental AI concepts
Show steps
Strengthen your foundation in AI by reviewing core concepts before delving into LangChain.js.
Browse courses on
Artificial Intelligence
Show steps
-
Review lecture notes or textbooks on AI fundamentals
-
Complete practice questions or exercises to test your understanding
-
Attend online workshops or webinars on introductory AI topics
-
Discuss AI concepts with peers or mentors to clarify your knowledge
Organize and review course materials regularly
Show steps
Stay organized and on top of course content by regularly reviewing and compiling your notes, assignments, and other materials.
Show steps
-
Set aside time each week to review your notes and materials.
-
Organize your notes by topic or module.
-
Summarize key concepts and ideas.
Follow tutorials on LangChain.js best practices
Show steps
Enhance your LangChain.js proficiency by following guided tutorials that demonstrate industry-standard best practices.
Show steps
-
Identify reputable resources or online courses that offer tutorials on LangChain.js best practices
-
Select tutorials that align with your learning objectives and skill level
-
Follow the tutorials step-by-step, implementing the recommended practices in your own projects
-
Reflect on the techniques learned and evaluate their impact on your app development process
16 other activities
Expand to see all activities and additional details
Show all 19 activities
Join a Study Group
Show steps
Enhance your learning by collaborating with peers, discussing concepts, and solving problems together.
Show steps
-
Find like-minded individuals who are also taking the course
-
Establish a regular meeting schedule
-
Prepare topics for discussion
-
Take turns leading discussions and presenting ideas
Compile a resource repository for AI app development
Show steps
Build a comprehensive resource repository that includes valuable tools, tutorials, and materials related to AI app development.
Show steps
-
Gather resources from various sources, such as online forums, documentation, and research papers.
-
Categorize and organize the resources based on relevance and topic.
-
Create a platform or repository to share the resources with others.
Write a Summary of LangChain Concepts
Show steps
Deepen your understanding by explaining the core concepts of LangChain in your own words.
Show steps
-
Review course materials and identify key concepts
-
Write a clear and concise summary
-
Provide examples and illustrations
-
Seek feedback and make revisions
Practice LangChain.js coding challenges
Show steps
Bolster your coding skills and deepen your understanding of LangChain.js concepts by actively solving coding challenges.
Show steps
-
Find and collect coding challenges related to LangChain.js
-
Attempt to solve the challenges on your own, referring to course materials when needed
-
Review and analyze your solutions, identifying areas for improvement
-
Seek assistance from the course forum or online resources if needed
Practice basic debugging
Show steps
Practice debugging to troubleshoot and resolve issues commonly encountered during AI app development in this course.
Browse courses on
Debugging
Show steps
-
Set breakpoints in your code.
-
Use console.log() to print variable values.
-
Analyze error messages and stack traces.
-
Use debugging tools provided by your IDE or browser.
Explore Advanced LangChain Techniques
Show steps
Expand your skillset by seeking additional guidance on advanced LangChain topics.
Show steps
-
Identify specific areas for improvement
-
Search for relevant tutorials and resources
-
Follow tutorials and implement new techniques
-
Experiment with different approaches
-
Share your learnings with others
Attend a workshop on advanced AI app development techniques
Show steps
Advance your skills by attending a workshop focused on cutting-edge AI app development techniques relevant to LangChain and the industry.
Show steps
-
Research and identify workshops that align with your learning goals.
-
Register for the workshop and prepare for active participation.
-
Attend the workshop and engage with experts and peers.
Build a Personal Assistant App
Show steps
Solidify your understanding by applying learned concepts in a hands-on project.
Show steps
-
Design app user interface
-
Develop retrieval and processing logic chains
-
Implement app functionality
-
Test and debug the app
-
Deploy the app for use
Build a simple chatbot assistant
Show steps
Build a chatbot assistant using LangChain to gain practical experience in developing AI applications.
Browse courses on
Chatbot
Show steps
-
Design the chatbot's flow and functionality.
-
Create the chatbot's logic using LangChain.
-
Implement a user interface for the chatbot.
-
Test and refine the chatbot's performance.
Design an Enterprise AI Solution
Show steps
Develop a comprehensive plan for applying LangChain in a real-world business scenario.
Show steps
-
Identify a business problem or opportunity
-
Research and analyze potential AI solutions
-
Design a solution using LangChain
-
Develop a proof of concept or prototype
-
Present your solution to stakeholders
Develop a LangChain.js app walkthrough
Show steps
Solidify your understanding of LangChain.js and enhance your communication skills by creating a comprehensive walkthrough of an app you build.
Show steps
-
Choose a practical LangChain.js application to focus on
-
Design and develop the app, documenting your process and key implementation details
-
Create a written or video walkthrough, explaining the app's functionality, architecture, and any challenges encountered
-
Share your walkthrough with the course community or on a relevant online platform
Explore advanced LangChain features
Show steps
Expand your knowledge by exploring advanced LangChain features and techniques to enhance your AI app development capabilities.
Browse courses on
LangChain
Show steps
-
Review LangChain's official documentation.
-
Follow tutorials on advanced topics such as NLP, machine learning, and deep learning.
-
Experiment with different LangChain modules and libraries.
Contribute to the LangChain documentation
Show steps
Enhance the accessibility and understanding of LangChain by contributing to its official documentation or creating tutorials and guides.
Browse courses on
Open Source
Show steps
-
Review the existing LangChain documentation.
-
Identify areas where improvements or additions can be made.
-
Create or update documentation using the provided templates and guidelines.
-
Submit your contributions to the LangChain community.
Contribute to open-source LangChain projects
Show steps
Make meaningful contributions to the LangChain community by participating in open-source projects and helping to improve the platform.
Browse courses on
Open Source
Show steps
-
Find open-source LangChain projects on platforms like GitHub.
-
Identify areas where you can contribute.
-
Submit bug reports, feature requests, or code contributions.
-
Engage with the community and provide support to other users.
Participate in a LangChain.js hackathon
Show steps
Challenge yourself and showcase your skills by participating in a LangChain.js hackathon, where you'll collaborate and innovate with other developers.
Show steps
-
Find and register for an upcoming LangChain.js hackathon
-
Form a team or work individually to develop a unique AI application
-
Work within the given time constraints to design, build, and present your app
-
Receive feedback from judges and learn from other participants
Participate in a LangChain hackathon
Show steps
Challenge yourself by participating in a LangChain hackathon to showcase your skills and learn from others in the AI community.
Show steps
-
Find a LangChain hackathon that aligns with your interests.
-
Form a team or work individually.
-
Develop an innovative AI application using LangChain.
-
Present your project to a panel of judges.
Review fundamental AI concepts
Show steps
Strengthen your foundation in AI by reviewing core concepts before delving into LangChain.js.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Review lecture notes or textbooks on AI fundamentals
- Complete practice questions or exercises to test your understanding
- Attend online workshops or webinars on introductory AI topics
- Discuss AI concepts with peers or mentors to clarify your knowledge
Organize and review course materials regularly
Show steps
Stay organized and on top of course content by regularly reviewing and compiling your notes, assignments, and other materials.
Show steps
Show steps
Show steps
- Set aside time each week to review your notes and materials.
- Organize your notes by topic or module.
- Summarize key concepts and ideas.
Follow tutorials on LangChain.js best practices
Show steps
Enhance your LangChain.js proficiency by following guided tutorials that demonstrate industry-standard best practices.
Show steps
Show steps
Show steps
- Identify reputable resources or online courses that offer tutorials on LangChain.js best practices
- Select tutorials that align with your learning objectives and skill level
- Follow the tutorials step-by-step, implementing the recommended practices in your own projects
- Reflect on the techniques learned and evaluate their impact on your app development process
16 other activities
Expand to see all activities and additional details
Show all 19 activities
Join a Study Group
Show steps
Enhance your learning by collaborating with peers, discussing concepts, and solving problems together.
Show steps
Show steps
Show steps
- Find like-minded individuals who are also taking the course
- Establish a regular meeting schedule
- Prepare topics for discussion
- Take turns leading discussions and presenting ideas
Compile a resource repository for AI app development
Show steps
Build a comprehensive resource repository that includes valuable tools, tutorials, and materials related to AI app development.
Show steps
Show steps
Show steps
- Gather resources from various sources, such as online forums, documentation, and research papers.
- Categorize and organize the resources based on relevance and topic.
- Create a platform or repository to share the resources with others.
Write a Summary of LangChain Concepts
Show steps
Deepen your understanding by explaining the core concepts of LangChain in your own words.
Show steps
Show steps
Show steps
- Review course materials and identify key concepts
- Write a clear and concise summary
- Provide examples and illustrations
- Seek feedback and make revisions
Practice LangChain.js coding challenges
Show steps
Bolster your coding skills and deepen your understanding of LangChain.js concepts by actively solving coding challenges.
Show steps
Show steps
Show steps
- Find and collect coding challenges related to LangChain.js
- Attempt to solve the challenges on your own, referring to course materials when needed
- Review and analyze your solutions, identifying areas for improvement
- Seek assistance from the course forum or online resources if needed
Practice basic debugging
Show steps
Practice debugging to troubleshoot and resolve issues commonly encountered during AI app development in this course.
Browse courses on
Debugging
Show steps
Show steps
Show steps
- Set breakpoints in your code.
- Use console.log() to print variable values.
- Analyze error messages and stack traces.
- Use debugging tools provided by your IDE or browser.
Explore Advanced LangChain Techniques
Show steps
Expand your skillset by seeking additional guidance on advanced LangChain topics.
Show steps
Show steps
Show steps
- Identify specific areas for improvement
- Search for relevant tutorials and resources
- Follow tutorials and implement new techniques
- Experiment with different approaches
- Share your learnings with others
Attend a workshop on advanced AI app development techniques
Show steps
Advance your skills by attending a workshop focused on cutting-edge AI app development techniques relevant to LangChain and the industry.
Show steps
Show steps
Show steps
- Research and identify workshops that align with your learning goals.
- Register for the workshop and prepare for active participation.
- Attend the workshop and engage with experts and peers.
Build a Personal Assistant App
Show steps
Solidify your understanding by applying learned concepts in a hands-on project.
Show steps
Show steps
Show steps
- Design app user interface
- Develop retrieval and processing logic chains
- Implement app functionality
- Test and debug the app
- Deploy the app for use
Build a simple chatbot assistant
Show steps
Build a chatbot assistant using LangChain to gain practical experience in developing AI applications.
Browse courses on
Chatbot
Show steps
Show steps
Show steps
- Design the chatbot's flow and functionality.
- Create the chatbot's logic using LangChain.
- Implement a user interface for the chatbot.
- Test and refine the chatbot's performance.
Design an Enterprise AI Solution
Show steps
Develop a comprehensive plan for applying LangChain in a real-world business scenario.
Show steps
Show steps
Show steps
- Identify a business problem or opportunity
- Research and analyze potential AI solutions
- Design a solution using LangChain
- Develop a proof of concept or prototype
- Present your solution to stakeholders
Develop a LangChain.js app walkthrough
Show steps
Solidify your understanding of LangChain.js and enhance your communication skills by creating a comprehensive walkthrough of an app you build.
Show steps
Show steps
Show steps
- Choose a practical LangChain.js application to focus on
- Design and develop the app, documenting your process and key implementation details
- Create a written or video walkthrough, explaining the app's functionality, architecture, and any challenges encountered
- Share your walkthrough with the course community or on a relevant online platform
Explore advanced LangChain features
Show steps
Expand your knowledge by exploring advanced LangChain features and techniques to enhance your AI app development capabilities.
Browse courses on
LangChain
Show steps
Show steps
Show steps
- Review LangChain's official documentation.
- Follow tutorials on advanced topics such as NLP, machine learning, and deep learning.
- Experiment with different LangChain modules and libraries.
Contribute to the LangChain documentation
Show steps
Enhance the accessibility and understanding of LangChain by contributing to its official documentation or creating tutorials and guides.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Review the existing LangChain documentation.
- Identify areas where improvements or additions can be made.
- Create or update documentation using the provided templates and guidelines.
- Submit your contributions to the LangChain community.
Contribute to open-source LangChain projects
Show steps
Make meaningful contributions to the LangChain community by participating in open-source projects and helping to improve the platform.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Find open-source LangChain projects on platforms like GitHub.
- Identify areas where you can contribute.
- Submit bug reports, feature requests, or code contributions.
- Engage with the community and provide support to other users.
Participate in a LangChain.js hackathon
Show steps
Challenge yourself and showcase your skills by participating in a LangChain.js hackathon, where you'll collaborate and innovate with other developers.
Show steps
Show steps
Show steps
- Find and register for an upcoming LangChain.js hackathon
- Form a team or work individually to develop a unique AI application
- Work within the given time constraints to design, build, and present your app
- Receive feedback from judges and learn from other participants
Participate in a LangChain hackathon
Show steps
Challenge yourself by participating in a LangChain hackathon to showcase your skills and learn from others in the AI community.
Show steps
Show steps
Show steps
- Find a LangChain hackathon that aligns with your interests.
- Form a team or work individually.
- Develop an innovative AI application using LangChain.
- Present your project to a panel of judges.
Career center
Learners who complete Build AI Apps with LangChain.js will develop knowledge and skills
that may be useful to these careers:
AI Researcher
AI Researcher
As an AI Researcher, you will be responsible for conducting research in the field of artificial intelligence. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of understanding how to build and evaluate AI models.
AI Engineer
AI Engineer
As an AI Engineer, you will be tasked with designing, developing, and maintaining artificial intelligence systems. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of building AI applications using the LangChain library.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will be responsible for developing and maintaining machine learning models. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of using LangChain to build and deploy machine learning models.
Data Scientist
Data Scientist
As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of using LangChain to process and analyze data.
Data Analyst
Data Analyst
As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of using LangChain to process and analyze data.
Software Engineer
Software Engineer
As a Software Engineer, you will be responsible for designing, developing, and maintaining software systems. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of building AI-powered software applications.
Product Manager
Product Manager
As a Product Manager, you will be responsible for managing the development and launch of new products. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of understanding how to build and market AI-powered products.
Business Analyst
Business Analyst
As a Business Analyst, you will be responsible for analyzing business processes and identifying opportunities for improvement. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of using AI to analyze data and identify trends.
UX Designer
UX Designer
As a UX Designer, you will be responsible for designing the user experience for websites and mobile applications. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of understanding how to design AI-powered user interfaces.
Technical Writer
Technical Writer
As a Technical Writer, you will be responsible for writing documentation for software and other technical products. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of understanding how to write documentation for AI-powered products.
AI Consultant
AI Consultant
As an AI Consultant, you will be responsible for advising businesses on how to use AI to improve their operations. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of understanding how to build and implement AI solutions.
AI Policy Analyst
AI Policy Analyst
As an AI Policy Analyst, you will be responsible for analyzing the ethical and social implications of AI. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of understanding how to develop and evaluate AI policies.
AI Teacher
AI Teacher
As an AI Teacher, you will be responsible for teaching students about AI. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of understanding how to teach AI concepts to students.
AI Evangelist
AI Evangelist
As an AI Evangelist, you will be responsible for promoting the use of AI to businesses and the public. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of understanding how to communicate the benefits of AI to a wide audience.
AI Architect
AI Architect
As an AI Architect, you will be responsible for designing and implementing AI solutions for businesses. This course, Build AI Apps with LangChain.js, may be useful in helping you to develop the skills necessary to succeed in this role, particularly in the area of understanding how to build and deploy AI systems.
For more career information including salaries, visit:
OpenCourser.com/course/eeosmx/build
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Build AI Apps with LangChain.js.
Save
This comprehensive guide covers all aspects of the JavaScript programming language, including syntax, data types, operators, functions, and objects. It provides a solid foundation for understanding the JavaScript code used in the LangChain.js course and enables students to extend their knowledge beyond the scope of the course.
This practical guide covers machine learning using popular Python libraries such as Scikit-Learn, Keras, and TensorFlow. It provides hands-on experience with data preprocessing, model training, and evaluation, complementing the practical aspects of the LangChain.js course.
Save
Comprehensive guide to deep learning, a subset of machine learning that has revolutionized AI in recent years. It covers the mathematical foundations, algorithms, and applications of deep learning, providing a deeper understanding of the underlying techniques used in LangChain.js.
This comprehensive guide covers the Python ecosystem for data science, including data manipulation, visualization, and machine learning. It provides a solid foundation for students who want to explore the data science aspects of AI development, complementing the data-driven nature of LangChain.js.
Covers the fundamental principles and algorithms of information retrieval, a field closely related to the retrieval capabilities of LangChain.js. It provides a deeper understanding of how information is organized, stored, and accessed, enhancing the student's ability to design and implement effective AI applications.
This comprehensive textbook covers the principles and practice of database systems, including data modeling, query processing, and transaction management. It provides a solid foundation for understanding the underlying database concepts used in the LangChain.js course, such as Supabase.
Save
Presents a philosophical exploration of language and its relationship to thought. It provides a theoretical framework for understanding how language shapes our cognition and communication, offering valuable insights for students interested in the cognitive aspects of AI.
Covers the core concepts and techniques of natural language processing using Python. It provides a practical approach to text processing, machine learning, and deep learning for NLP tasks, complementing the NLP capabilities of LangChain.js.
Provides a comprehensive overview of speech and language processing, covering topics such as phonetics, phonology, morphology, syntax, semantics, and pragmatics. It offers valuable insights into the linguistic aspects of AI, complementing the technical aspects covered in the LangChain.js course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/eeosmx/build
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Level
Intermediate
Via
Coursera
Institution
Scrimba
Instructor
Tom Chant
Language
English
This course belongs to a
collection
called
AI Engineering. It's comprised of six courses:
- Learn Embeddings and Vector Databases
- Open-source AI Models
- Intro to AI Engineering
- Learn OpenAI's Assistant API
- Build AI Apps with LangChain.js (viewing)
- Learn AI Agents
Good to know
Provides hands-on experience with LangChain, a novel AI app development tool
Taught by LangChain's lead maintainer, Jacob Lee, offering direct expert insights
Focuses on LangChain JS, a specific library for building AI applications
Guides learners through the process of building AI applications from start to finish
Includes super challenges to test learners' ability to apply learned concepts
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