LangChain is a framework that usually uses the power of AI large language models and combines them with data sources to create powerful applications. To understand more about it, our list of Best + Free LangChain Courses & Tutorials for Modern AI Development offers the best courses and classes.
Key Takeaways
- Access to Best + Free LangChain courses.
- A chance to understand the LangChain framework at your own ease and pace.
- Suited best for developers, software engineers, and other relevant individuals.
While choosing the Best LangChain Courses, our team focused on certain factors. These were course comprehensiveness, instructor expertise in LangChain, and positive learner feedback. Following such an approach made sure our recommendations were authoritative and helpful.
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness. Best + Free LangChain Courses & Tutorials….
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- via Coursera
- 02 Hours of effort required!
- Courses Type (Self-Paced)
In this beginner-level course, you will analyze the foundational LangChain principles. The focus of this course is on explaining the core architecture and components for a strong base in application development.
- The reason why we chose this course is its focus on explaining how to design and implement a basic application using LangChain.
- This course is for those who wish to understand and assess LangChain’s problem-solving strategies for programming challenges and how to apply critical thinking to choosing effective solutions.
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- Tom Taulli via PluralSight
- 03 Hours of effort required!
- Courses Type (Self-Paced)
In this “LangChain Development” course, you will be taught how to create real-world LLM (Large-Language Model) applications using the powerful LangChain framework.
- The best thing about this course is its focus on exploring the fundamentals of this versatile system. You will understand the use of generative AI models as well.
- This course is for those who wish to understand how to use vector databases like Pinecone to access external documents and develop the skills of LangChain.
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- Jose Portilla, Pierian Training via Udemy
- 11,022+ already enrolled!
- ★★★★★ (1,709 Ratings)
Online Course Effectiveness Score |
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Excellent ★★★★★ | Good ★★★★☆ | Fair ★★★☆☆ |
Are you interested in building real-world applications with Large Language Models and LangChain? If yes then this course is for you. Here you will learn to use LangChain for model inputs and outputs to easily switch out LLMs.
- The best thing about this course is its focus on explaining how to perform data connections with Vector Databases such as ChromaDB with your LLMs and LangChain.
- This course is for those who wish to learn to use LangChain for building custom agents to complete tasks with LLMs.
I would like to thank Hose for this course. Even though I have 7+ years of experience in this field. Yet I learned so much from this course I never knew. I can write on and on about how much I enjoyed learning from this course. I wish you shine bright as your course has technical depth to offer. (Rajesh K)
Continue with more Free LangChain Courses & Tutorials…
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- DeepLearning.AI via Coursera
- 14,250+ already enrolled!
- ★★★★★ (331 Ratings)
Online Course Effectiveness Score |
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Excellent ★★★★★ | Good ★★★★☆ | Good ★★★★☆ |
In this beginner-level course, you will be taught how to build your own chatbot so that you can chat directly with information from your own documents.
- The reason why we chose this course is its focus on providing access to over 80 unique loaders to handle accessing different data sources using LangChain.
- This course is for those who wish to learn directly from the LangChain creator, dive into the concept of embeddings, and explore vector store integrations with LangChain.
This course taught me how to deploy and build applications with Retrieval Augmented Generation (RAG) and offers a solid foundation in leveraging advanced techniques that allowed me to create and deploy AI-powered applications. The course also offers a hands-on approach and practical exercises that helped a lot in implementing RAG in real-world scenarios. (Ali R)
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- Eden Marco via Udemy
- 47,259+ already enrolled!
- ★★★★★ (11,339 Ratings)
Online Course Effectiveness Score |
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Excellent ★★★★★ | Fair ★★★☆☆ | Fair ★★★☆☆ |
To all those who wish to become proficient in LangChain, this course teaches how to have 3 end-to-end working LangChain-based generative AI applications.
- The reason why we chose this course is its focus on explaining how to navigate inside the LangChain open-source codebase.
- This course is for those who wish to understand how LangChain is building under the hood.
This is no doubt a very detailed and engaging course. Whether you have a technical background or not, the course is easy to follow. A big round of applause to Eden the instructor for his impeccable teaching style. Whether it was about explaining the concepts or teaching how to debug, he delivered everything beautifully. I would highly recommend this course to all the LLM enthusiasts. (Ranganathan R)
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- DeepLearning.AI via Coursera
- 02 Hours of effort required!
- Courses Type (Self-Paced)
This class is all about explaining the fundamentals of using LangChain’s JavaScript library.
- The reason why we chose this class is its focus on explaining how to expand the toolkits using LangChain.js. The instructor will cover useful concepts for creating powerful and context-aware applications.
- This class is for those who wish to understand the basics of loading and preparing data.
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- Sharath Raju via Udemy
- 9,601+ already enrolled!
- ★★★★★ (834 Ratings)
Online Course Effectiveness Score |
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Excellent ★★★★★ | Fair ★★★☆☆ | Fair ★★★☆☆ |
- In this course, you will learn end-to-end Next-Gen AI projects along with LangChain, OpenAI, Pinecone, HuggingFace, Google Gemini Pro Models, and so much more.
- The best thing about this course is its focus on explaining how to develop LangChain-based AI apps. You will understand how to implement LLM-powered apps.
- This course is for those who wish to learn all about LangChain from end to end.
I can say this is one of the finest courses I have ever completed from Udemy. The course truly offers the most relevant and engaging LangChain content one can ever get access to. Great job done by the instructor. The course kept me motivated and engaged from start to end. (Ashish G)