Delivered either online or onsite, these instructor-led live LangChain courses focus on practical, interactive exercises to demonstrate the construction of AI-driven applications using the LangChain framework.
LangChain instruction is offered as either "online live training" or "onsite live training". The online live format (also referred to as "remote live training") facilitates engagement through an interactive remote desktop. In contrast, onsite live training is provided directly at customer locations in Gaia or within NobleProg’s corporate training centres in Gaia.
NobleProg – Your Regional Training Specialist
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
This instructor-led, live training in Gaia (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 Gaia (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 Gaia (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 mastery over LangGraph for legal applications through this 35-hour, instructor-led training held in Gaia. Designed for intermediate to advanced professionals, the course focuses on workflow design, compliance controls, and human-in-the-loop approvals. Build confident, auditable, and production-ready LLM solutions.
This instructor-led, live training in Gaia (online or onsite) targets intermediate-level data professionals seeking to utilise LangChain to enhance their data analysis and visualization proficiency.
Upon completion of this training, participants will be able to:
Automate data retrieval and cleaning processes with LangChain.
Perform advanced data analysis utilising 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 Gaia equips professionals to design LangGraph-based finance solutions. Participants learn to implement workflows aligned with regulatory requirements, integrate data standards, and deploy systems with strong governance, observability, and compliance controls.
This instructor-led, live training in Gaia (online or onsite) is designed for advanced-level data engineers and DevOps professionals seeking to leverage LangChain’s capabilities through integration 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.
Utilize 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 in cloud environments.
Discover LangGraph for healthcare through this live training held in Gaia, designed for intermediate to advanced professionals. Learn to build stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and navigate ethical and operational challenges within regulated settings.
This live, instructor-led training in Gaia is designed for advanced AI platform engineers, AI-focused DevOps, and ML architects looking 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 Gaia (online or onsite) is designed for intermediate professionals seeking to deepen their understanding of conversational agents and apply LangChain to real-world scenarios.
By the conclusion 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 Gaia (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 training on Gaia explores the use of LangGraph in marketing automation. Learners will acquire practical skills in designing conditional content workflows, integrating LLMs for personalised email campaigns, and managing state across multi-step pipelines, thereby enhancing their modern marketing capabilities.
This instructor-led live training in Gaia (online or onsite) is aimed at beginner-level to intermediate-level 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, available online or on-site, in Gaia guides intermediate engineers through the process of building dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement branching logic, and integrate retrieval, APIs, and memory to create robust, context-aware applications.
This instructor-led live training in Gaia (online or onsite) is designed for intermediate developers and software engineers who aim to build AI-powered applications using the LangChain framework.
By the conclusion 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 Essentials course in Gaia empowers developers to create graph-based LLM applications. Gain proficiency in core concepts such as nodes, edges, state management, and branching logic. Integrate tools, retrieval systems, and external APIs, then test and deploy dependable workflows through hands-on laboratories.
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