Drive Team Excellence with LangChain Application Development Corporate Training
LangChain is a leading open-source framework for building LLM-powered applications, enabling developers to compose chains of prompts, models, memory, agents, and tools into coherent, production-ready workflows. It simplifies the development of RAG systems, autonomous agents, chatbots, and data-augmented AI applications by providing modular components and seamless integrations with vector databases, external APIs, and cloud platforms. This training covers LangChain fundamentals through to advanced topics including LCEL, agent design, vector DB integration, evaluation, and scalable production deployment.
Edstellar's LangChain Application Development Instructor-led course offers virtual/onsite training options to meet professionals' diverse needs. This flexibility ensures that professionals and teams can engage in learning experiences that best suit their logistical and learning preferences. What sets the Edstellar course apart is its emphasis on practical experience, with hands-on projects and real-world scenarios that bring LangChain concepts to life. Edstellar equips professionals with the skills and confidence to design, build, and deploy LangChain applications effectively in their AI development projects.

- LangChain Chain and Prompt Design
- RAG Pipeline Development
- LangChain Agent and Tool Integration
- Memory Management in LLM Applications
- LCEL Advanced Chain Construction
- Vector Database Integration with LangChain
- LangChain Production Deployment
- Master LangChain core components including chains, prompts, models, and output parsers to build modular and production-grade LLM application architectures.
- Gain expertise in building RAG pipelines with LangChain by integrating document loaders, vector stores, embeddings, and retrieval chains for accurate, knowledge-grounded responses.
- Develop proficiency in designing and deploying LangChain agents with custom tool integration to enable autonomous, multi-step reasoning and task execution workflows.
- Learn memory and state management strategies in LangChain, applying conversation buffers, entity memory, and summary memory to support contextual multi-turn LLM applications.
- Build advanced chain pipelines using LangChain Expression Language (LCEL), leveraging streaming, parallelism, and fallback mechanisms for robust production deployments.
- Apply testing, evaluation, and production deployment best practices for LangChain applications using LangSmith, tracing, containerization, and cloud scaling strategies.
- AI/ML Engineers
- Backend Developers
- Data Scientists
- LLM Application Architects
- Software Engineers (AI/LLM)
- Technical Product Managers (AI)
Professionals should have a working knowledge of Python programming, familiarity with REST APIs, and a basic understanding of machine learning concepts and large language models to take the LangChain Application Development training course.
64 hours of group training (includes VILT/In-person On-site)
Tailored for SMBs
160 hours of group training (includes VILT/In-person On-site)
Ideal for growing SMBs
Tailor-Made Trainee Licenses with Our Exclusive Training Packages!
400 hours of group training (includes VILT/In-person On-site)
Designed for large corporations
Tailor-Made Trainee Licenses with Our Exclusive Training Packages!
Unlimited duration
Designed for large corporations
Experienced Trainers
Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.
Proven Quality
With a strong global track record, Edstellar is known for quality and engaging delivery.
Industry-Relevant Curriculum
Our programs are built by experts to match the demands of today's industry.
Fully Customizable
Every program can be tailored to your organization's goals.
Comprehensive Support
We provide pre- and post-session support for a complete learning experience.
Global Multi-Location & Multilingual Training Delivery
We deliver in multiple languages to support diverse global teams.
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