LangChain: Application Development Essentials

This course unravels the intricacies of LangChain, a versatile framework for creating applications with language models.

Reza Moradinezhad Soheil Haddadi

Data Science | core | 1 hour 15 minutes | Published: Apr 2024

In partnership with:

Discussions

Overview

1KSTUDENTS^*

94.6%RECOMMEND^*

This course includes:

75 minutes of on-demand video 
Certificate of completion 
Direct access/chat with the instructor
100% self-paced online

This course unravels the intricacies of LangChain, a versatile framework for creating applications with language models. As AI and natural language processing become more integral to technological advancements, mastering LangChain is essential for modern developers. This course navigates through the basics of LangChain, its background and context, practical uses in today's tech landscape, and future prospects. Real-world examples illuminate how LangChain empowers developers to craft innovative, AI-driven applications.

Skills You Will Gain

AI-driven applications

Applications with Language Models

Craft Innovative

LangChain

Technological Advancements

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

Analyze and summarize the foundational principles of LangChain, emphasizing its core architecture and components, to establish a base for application development.
Design and implement a basic application utilizing LangChain, demonstrating practical application of the framework in solving real-world problems.
Evaluate various problem-solving strategies using LangChain for straightforward programming challenges, applying critical thinking to select the most effective solution.
Critique and forecast the evolution of LangChain within the AI technology landscape, identifying potential impacts and innovations in future application development.

Prerequisites

For successful participation, applicants should possess a basic understanding of programming concepts and languages, familiarity with AI and natural language processing fundamentals, an interest in application development and AI technologies, and a willingness to engage with new frameworks and adapt to technological advancements.

Who Should Attend

Office Professionals, Consultants, Students, Small Business Owners, Automation Enthusiasts

Curriculum

Instructors

^*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.

LangChain: Application Development Essentials

This course unravels the intricacies of LangChain, a versatile framework for creating applications with language models.

Data Science | core | 1 hour 15 minutes | Published: Apr 2024

In partnership with:

Overview

1KSTUDENTS^*

94.6%RECOMMEND^*

This course includes:

75 minutes of on-demand video 
Certificate of completion 
Direct access/chat with the instructor
100% self-paced online

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

Analyze and summarize the foundational principles of LangChain, emphasizing its core architecture and components, to establish a base for application development.
Design and implement a basic application utilizing LangChain, demonstrating practical application of the framework in solving real-world problems.
Evaluate various problem-solving strategies using LangChain for straightforward programming challenges, applying critical thinking to select the most effective solution.
Critique and forecast the evolution of LangChain within the AI technology landscape, identifying potential impacts and innovations in future application development.

Prerequisites

Curriculum

1Module 1 - Introduction to LangChain

2Module 2 - Developing with LangChain

3Module 3 - Practical Use Cases and Simple Solutions

4Module 4 - Looking Towards the Future

Reza Moradinezhad

Reza is a passionate advocate for fostering effective and trustworthy collaboration between humans and artificial intelligence, with a strong commitment to advancing the ethical use of Generative AI. Holding a PhD in Computer Science from Drexel University, his research focuses on enhancing human trust in Embodied Virtual Agents (EVAs). Through collaborations with prestigious institutions such as MIT Media Lab, CMU HCII, Harvard University, and UCSD, Reza has contributed impactful research published in leading journals like Springer Nature, ACM CHI, and ACM C&C. His work has gained recognition from the academic community, earning him accolades such as the Outstanding Reviewer award by ACM ICMI 2019 and ACM CHI 2021. His research has also been featured in media outlets including The Next Web, TechXplore, and CBS News. As an Assistant Teaching Professor at Drexel University's College of Computing and Informatics, Reza has shaped the minds of both undergraduate and graduate students, guiding them through complex topics such as Artificial Intelligence, Software Engineering, and Computer Graphics. His dedication to education extends beyond teaching, mentoring research projects on topics ranging from mind-wandering in the human brain to the effectiveness of creativity support tools in fostering innovation. In addition to his academic work, Reza served as an AI Scientist at TulipAI, where he focused on ensuring the ethical and responsible application of Generative AI in media creation. He is driven by the vision of making AI more trustworthy for humanity and believes in designing transparent, fair, and responsible interactions with AI systems. Through his work, Reza aims to harness the full potential of AI while adhering to ethical principles and promoting responsible innovation. With a proven track record in academic research, collaborative projects, and a deep passion for ethical AI development, Reza is committed to making significant contributions to the evolving field of Human-AI interaction.