LangChain Developer

About This Course

LangChain Developers design, build, and deploy intelligent AI applications by integrating large language models (LLMs) with external data sources, APIs, and business workflows using the LangChain framework. They create scalable AI solutions such as chatbots, AI agents, knowledge assistants, and Retrieval-Augmented Generation (RAG) applications that solve real-world business problems. This course prepares learners for a career as a LangChain Developer through hands-on projects, industry workflows, collaborative learning, and real-world case studies aligned with current hiring expectations in India. Learners gain expertise in Python, LangChain, prompt engineering, RAG, vector databases, embeddings, AI agents, API integration, workflow orchestration, and responsible AI practices. The curriculum includes practical experience with leading AI platforms and cloud technologies. Through live projects and capstone assignments, participants develop programming, problem-solving, and AI application development skills, preparing them for LangChain Developer, AI Engineer, LLM Engineer, and AI Solutions Developer roles across diverse industries.

Key Responsibilities

• Design and develop AI applications using LangChain and large language models
• Build and orchestrate LLM pipelines, chains, and agent-based workflows for intelligent automation
• Implement retrieval-augmented generation (RAG) systems by integrating vector databases and external data sources
• Develop and optimize prompt templates, memory management, and tool integrations
• Collaborate with AI engineers, data scientists, and product teams to deploy scalable generative AI solutions.

Growth Path

Tools Used

Perfect For

Computer Science and Engineering Graduates | Software Developers and Backend Engineers | AI and Machine Learning Enthusiasts | Data Scientists and Generative AI Aspirants | Product and Innovation Professionals | Individuals Interested in Building LLM-Powered Applications

Fee Structure