Master LangChain framework fundamentals for building AI-powered applications, from core concepts to practical implementation.
Master LangChain framework fundamentals for building AI-powered applications, from core concepts to practical implementation.
This comprehensive course introduces LangChain, a versatile framework for creating applications with language models. Students learn essential concepts and architecture while gaining practical experience in building AI-driven applications. The curriculum covers foundational principles, hands-on development, problem-solving strategies, and future trends in AI application development, with emphasis on real-world applications.
3.2
(13 ratings)
1,688 already enrolled
Instructors:
English
What you'll learn
Master LangChain's core concepts and architecture
Build and deploy basic AI applications
Implement effective problem-solving strategies
Understand vector databases and their usage
Develop maintainable LangChain applications
Apply ethical AI development practices
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
1 assignment
Access on Mobile, Desktop, Tablet
FullTime access
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There is 1 module in this course
The course provides a thorough introduction to LangChain, focusing on both theoretical understanding and practical application. Students learn core concepts, architecture, and implementation strategies while developing hands-on experience with the framework. The curriculum emphasizes real-world applications, ethical considerations, and future trends in AI development, preparing learners to build innovative AI-driven applications.
LangChain - Application Development Essentials
Module 1 · 3 Hours to complete
Fee Structure
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Instructors
Data Scientist and AI Research Scientist
Soheil Haddadi is a postdoctoral researcher specializing in Artificial Intelligence (AI) and machine learning, with a robust academic background in Control and Automation Systems Engineering. His expertise encompasses a wide range of areas, including data science, deep learning, natural language processing (NLP), and robotics. Soheil is committed to advancing the field of AI through innovative research and practical applications.He teaches several courses on Coursera, such as Fine-tuning Language Models for Business Tasks, GenAI for Data Scientists, and Data Engineering: Pipelines, ETL, Hadoop. These courses are designed to equip learners with the skills necessary to effectively utilize generative AI technologies and data engineering practices in various professional contexts.
AI Educator and Human-Centered Interaction Researcher
Reza Moradinezhad is an AI educator and researcher dedicated to promoting trustworthy AI and enhancing human-centered interactions. He holds a PhD in Computer Science from Drexel University and currently serves as an assistant teaching professor at Drexel's College of Computing & Informatics. In addition, he is an AI Scientist at TulipAI, where he focuses on ethical and responsible use of generative AI technologies.Reza offers a variety of courses on Coursera, including Building Production-Ready Apps with Large Language Models, Evaluating Large Language Model Outputs: A Practical Guide, and GenAI for Application Developers. His courses aim to equip learners with the skills necessary to effectively utilize large language models in various applications, from customer service to data analysis.
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3.2 course rating
13 ratings
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