Whether conducted remotely or in person, our instructor-led live LangChain courses focus on hands-on, interactive exercises to demonstrate the practical aspects of developing AI-driven applications with the LangChain framework.
These LangChain programs are delivered as either "online live training" or "onsite live training." The online option, also referred to as "remote live training," is facilitated through an interactive remote desktop session. Alternatively, onsite live training can be hosted directly at your customer premises in Lille or within NobleProg’s corporate training facilities in Lille.
NobleProg -- Your Local Training Provider
Lille, Gare Flandres
NobleProg Lille, 21 Avenue le Corbusier, Lille, france, 59800
In front of Flandres TGV Train Station
From Lille train stations
From Lille-Flandres: the address is essentially right next to the station — about 1–3 minutes on foot.
From Lille-Europe: walk toward Lille-Flandres along Avenue Le Corbusier. It is roughly 5–10 minutes on foot.
So you don't need a bus or metro if you're arriving by train.
If you're coming by bus
The nearest bus stops to Avenue Le Corbusier include Lion d'Or and Jacquet. Several local lines serve the area, including 13, 86, L5 and L91.
This instructor-led, live training in Lille (online or onsite) is aimed at 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.
By the end 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 Lille (online or onsite) is aimed at intermediate-level web developers and UX designers who wish to leverage LangChain to create intuitive and user-friendly web applications.
By the end of this training, participants will be able to:
Understand the fundamental concepts of LangChain and its role in enhancing web user experience.
Implement LangChain in web apps to create dynamic and responsive interfaces.
Integrate APIs into web apps to improve interactivity and user engagement.
Optimize user experience using LangChain’s advanced customization features.
Analyze user behavior data to fine-tune web app performance and experience.
This instructor-led, live training in Lille (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 fundamentals 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 expertise in LangGraph for legal applications through this 35-hour instructor-led training in Lille. Perfect for intermediate to advanced professionals, the course covers workflow design, compliance controls, and human-in-the-loop approvals. Build auditable, production-ready LLM solutions with confidence.
This instructor-led, live training in Lille (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 training in Lille empowers professionals to architect LangGraph-based solutions for the financial sector. Learners will acquire the skills to implement workflows that comply with regulatory mandates, integrate core data standards, and deploy systems featuring robust governance, observability, and compliance mechanisms.
This instructor-led, live training in Lille (online or onsite) targets advanced data engineers and DevOps professionals who wish to leverage LangChain's capabilities by integrating it with various cloud services.
Upon completion 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 the power of LangGraph in healthcare through this live training in Lille, specifically tailored for intermediate to advanced professionals. Learn to design stateful, compliant workflows, integrate essential standards like FHIR and SNOMED CT, and navigate ethical and operational challenges within regulated environments.
This instructor-led live training, conducted in Lille, is tailored for advanced AI platform engineers, AI DevOps specialists, and ML architects who aim 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 Lille (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 Lille (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 course on Lille explores the application of LangGraph in marketing automation. Learners will develop the skills to design conditional content workflows, incorporate LLMs for personalized email initiatives, and manage state within multi-step pipelines, thereby acquiring practical expertise for contemporary marketing strategies.
This instructor-led, live training in Lille (online or onsite) targets beginner to intermediate developers and software engineers seeking to master LangChain's core concepts and architecture while acquiring practical skills for building AI-powered applications.
Upon completion of this training, participants will be able to:
Understand the fundamental principles of LangChain.
Set up and configure the LangChain environment.
Comprehend the architecture and how LangChain interacts with large language models (LLMs).
This live session, available online or on-site in Lille, guides intermediate engineers in constructing dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement complex branching logic, and integrate retrieval, APIs, and memory to build robust, context-aware applications.
This instructor-led live training in Lille (available online or onsite) is designed for intermediate developers and software engineers aiming to build AI-driven applications using the LangChain framework.
By the end of this training, participants will be able to:
Comprehend the fundamentals of LangChain and its key components.
Integrate LangChain with large language models (LLMs) such as GPT-4.
Construct modular AI applications using LangChain.
Troubleshoot common issues found in LangChain applications.
This instructor-led LangGraph Fundamentals course in Lille empowers developers to create graph-based LLM applications. You will explore core concepts such as nodes, edges, state management, and branching logic. Additionally, you will integrate tools, retrieval systems, and external APIs, and validate the deployment of reliable workflows through practical, hands-on labs.
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