Delivered either online or onsite, our instructor-led live LangChain training programs guide you through interactive, hands-on exercises to master the development of AI-powered applications using the LangChain framework.
We offer LangChain training in two formats: "online live training" or "onsite live training." The online option (also referred to as "remote live training") utilizes an interactive remote desktop setup. For those preferring an in-person experience, onsite live training can be conducted at customer premises in Prague or at NobleProg's corporate training centers in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This instructor-led, live training in Prague (online or onsite) targets advanced-level AI researchers and policy makers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when building AI solutions with LangChain.
Upon completion of this training, participants will be able to:
Identify key ethical issues in AI development with LangChain.
Understand the impact of AI on society and decision-making processes.
Develop strategies for building fair and transparent AI systems.
Implement ethical AI guidelines into LangChain-based projects.
This instructor-led, live training in Prague (online or on-site) is designed for intermediate web developers and UX designers aiming to leverage LangChain to create intuitive and user-friendly web applications.
By the end of this training, participants will be able to:
Grasp the core concepts of LangChain and its function in boosting web user experience.
Deploy LangChain in web apps to develop dynamic and responsive interfaces.
Integrate APIs into web applications to enhance interactivity and user engagement.
Optimize user experience through LangChain’s advanced customization capabilities.
Analyze user behavior data to refine web app performance and experience.
This instructor-led, live training in Prague (online or onsite) is aimed at beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.
By the end of this training, participants will be able to:
Understand the basics of API integration with LangChain.
Automate repetitive workflows using LangChain and Python.
Utilize LangChain to connect various APIs for efficient business processes.
Create and automate custom workflows using APIs and LangChain’s automation capabilities.
Gain proficiency in LangGraph for legal contexts through this 35-hour, instructor-led training in Prague. Designed for intermediate to advanced professionals, the curriculum addresses workflow design, compliance safeguards, and human-in-the-loop validations. Empower yourself to build auditable, production-grade LLM solutions with assured reliability.
This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level data professionals who wish to use LangChain to enhance their data analysis and visualization capabilities.
By the end of this training, participants will be able to:
Automate data retrieval and cleaning using LangChain.
Conduct advanced data analysis using Python and LangChain.
Create visualizations with Matplotlib and other Python libraries integrated with LangChain.
Leverage LangChain for generating natural language insights from data analysis.
This instructor-led course on Prague empowers professionals to design LangGraph-based financial solutions. Learners acquire the skills to implement workflows aligned with regulatory requirements, integrate data standards, and deploy systems with robust governance, observability, and compliance controls.
This instructor-led, live training in Prague (online or onsite) is designed for advanced data engineers and DevOps professionals who wish to leverage LangChain's capabilities by integrating it with various cloud services.
By the end of this training, participants will be able to:
Integrate LangChain with major cloud platforms including AWS, Azure, and Google Cloud.
Leverage cloud-based APIs and services to enhance LangChain-powered applications.
Scale and deploy conversational agents to the cloud for real-time interaction.
Implement monitoring and security best practices within cloud environments.
Discover how LangGraph applies to healthcare in this live training held in Prague, designed for intermediate to advanced professionals. Gain expertise in designing stateful, compliant workflows, integrating standards like FHIR and SNOMED CT, and navigating ethical and operational complexities within regulated environments.
This live, instructor-led training in Prague is tailored for advanced AI platform engineers, DevOps specialists for AI, and ML architects who seek to optimize, debug, monitor, and operate production-grade LangGraph systems for stateful, multi-actor LLM applications structured as composable graphs.
This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases.
By the end of this training, participants will be able to:
Understand the fundamentals of LangChain and its application in building conversational agents.
Develop and deploy conversational agents using LangChain.
Integrate conversational agents with APIs and external services.
Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.
This instructor-led, live training in Prague (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.
By the end of this training, participants will be able to:
Design and implement complex workflows using n8n's visual programming interface.
Integrate AI capabilities into workflows using LangChain.
Build custom chatbots and virtual assistants for various use cases.
Perform advanced data analysis and processing with AI agents.
This instructor-led session in Prague explores the application of LangGraph in marketing automation. Learners will acquire the skills to create conditional content workflows, leverage LLMs for personalized email campaigns, and manage state within multi-step pipelines, thereby gaining practical expertise for contemporary marketing needs.
This instructor-led, live training in Prague (online or onsite) targets beginner to intermediate developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.
By the end of this training, participants will be able to:
Grasp the fundamental principles of LangChain.
Set up and configure the LangChain environment.
Understand the architecture and how LangChain interacts with large language models (LLMs).
This live course, delivered online or onsite in Prague, guides intermediate engineers in developing dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement branching logic, and integrate retrieval systems, APIs, and memory components to build robust, context-aware applications.
This instructor-led live training in Prague (online or onsite) is designed for intermediate-level developers and software engineers aiming to build AI-powered applications using the LangChain framework.
By the end of this training, participants will be able to:
Understand the fundamentals of LangChain and its components.
Integrate LangChain with large language models (LLMs) like GPT-4.
Build modular AI applications using LangChain.
Troubleshoot common issues in LangChain applications.
This instructor-led LangGraph Fundamentals course based in Prague empowers developers to construct graph-based LLM applications. Gain proficiency in core concepts such as nodes, edges, state management, and branching logic. Learn to integrate tools, retrieval systems, and external APIs, then validate and deploy dependable workflows through practical, hands-on labs.
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