LangChain: Application Development Essentials
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.
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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 · 4 Hours to complete
Fee Structure
Instructors
AI & ML Research Scientists
Soheil Haddadi and Reza Moradinezhad are accomplished data scientists and AI educators focused on large language models (LLMs), Generative AI, and responsible AI deployment. Soheil specializes in AI, ML research, and automation with expertise in LLMs and GenAI, while also leading projects in both industry and academia. Reza, an Assistant Teaching Professor at Drexel University and AI Scientist at TulipAI, is dedicated to fostering trustworthy, human-centered AI. He holds a PhD in Computer Science (Drexel), has published widely on human-AI trust, and is recognized for developing practical, ethical AI solutions. Together, they deliver industry-leading courses on fine-tuning LLMs and application development, aiming to empower learners with responsible, innovative AI strategies for business and data science teams.
Global Leaders in Professional & Technology Education
For decades, we at Starweaver have partnered with hundreds of the world’s leading organizations and reached millions of learners, delivering unparalleled professional education. Our global team of over 750 practitioners, instructional designers, producers, program managers and creative experts from six continents brings real-world experience and academic rigor to every program, ensuring learners build skills that are hands-on and practical while founded in intellectual and academic rigor. With unmatched expertise and a dynamic ability to inspire, our team is committed to shaping the future of work and equipping learners to thrive in today’s rapidly changing business and technology ecosystem.
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