NobleProg delivers high-quality LangChain training courses in Berlin, the dynamic heart of Germany's tech and innovation sector. Participants benefit from expert-led instruction tailored to the professional needs of the capital's diverse industry landscape. Join our Berlin-based programs to enhance your skills with hands-on learning experiences in a world-class urban environment.
Whether conducted online or in person, these instructor-led live LangChain training courses provide interactive, hands-on guidance on developing AI-driven applications with the LangChain framework.
LangChain training is offered in two formats: "online live training" and "onsite live training." Online sessions, also referred to as "remote live training," utilize an interactive remote desktop environment. Onsite live training can be hosted directly at your client's location in Berlin or within NobleProg's corporate training centers in Berlin.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led, live training in Berlin (conducted online or on-site) is designed for advanced-level AI researchers and policymakers interested in exploring the ethical ramifications of AI development. It focuses on mastering the application of ethical guidelines when building AI solutions with LangChain.
By the conclusion of this training, participants will be capable of:
Identifying significant ethical issues in LangChain-based AI development.
Comprehending the impact of AI on society and decision-making frameworks.
Developing methodologies for creating fair and transparent AI systems.
Embedding ethical AI guidelines into LangChain-based projects.
This instructor-led, live training in Berlin (online or onsite) is designed for intermediate-level web developers and UX designers aiming to utilize LangChain to build intuitive and user-friendly web applications.
By the conclusion of this training, participants will be able to:
Comprehend the essential principles of LangChain and its function in enhancing web user experience.
Apply LangChain in web apps to develop dynamic and responsive interfaces.
Merge APIs into web apps to elevate interactivity and user engagement.
Enhance user experience by utilizing LangChain’s sophisticated customization tools.
Utilize user behavior data to optimize web app performance and user satisfaction.
This live, instructor-led training, available Berlin (online or on-site), is designed for beginner-level business analysts and automation engineers looking to apply LangChain and APIs to automate repetitive tasks and structured workflows.
By the conclusion of the course, participants will be equipped to:
Understand the core mechanics of API integration with LangChain.
Automate recurring workflows using the combination of LangChain and Python.
Utilize LangChain to bridge various APIs, enhancing the efficiency of business processes.
Build and automate custom workflows by leveraging APIs and LangChain’s automation toolkit.
Develop mastery in LangGraph for legal applications through this 35-hour instructor-led program in Berlin. Suited for intermediate to advanced professionals, the course explores workflow design, compliance controls, and human-in-the-loop approvals. Gain the confidence to build auditable, production-ready LLM solutions.
This live, instructor-led training in Berlin (delivered online or onsite) targets intermediate data professionals seeking to elevate their data analysis and visualization skills with LangChain.
By the end of the session, participants will be capable of:
Automating data collection and cleaning workflows with LangChain.
Executing advanced data analysis using Python integrated with LangChain.
Producing visualizations with Matplotlib and other Python libraries alongside LangChain.
Generating natural language insights from data analysis using LangChain.
This instructor-led training in Berlin empowers professionals to engineer LangGraph-based financial solutions. Learners will acquire the skills to build workflows that comply with regulatory mandates, integrate data standards, and deploy systems featuring robust governance, observability, and compliance frameworks.
This live, instructor-led session in Berlin (available online or on-site) targets advanced data engineers and DevOps professionals seeking to expand LangChain's capabilities via integration with various cloud services.
By the end of the training, participants will be capable of:
Integrating LangChain with top-tier cloud platforms, including AWS, Azure, and Google Cloud.
Enhancing LangChain-powered applications by utilizing cloud-based APIs and services.
Scaling and deploying conversational agents to the cloud for real-time interaction.
Establishing monitoring and security best practices in cloud environments.
Discover the application of LangGraph in healthcare through this live training in Berlin, tailored for intermediate to advanced professionals. Acquire the skills to design stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and navigate ethical and operational challenges within regulated environments.
This live, instructor-led training in Berlin is designed for advanced AI platform engineers, AI DevOps specialists, and ML architects who aim to optimize, debug, monitor, and operate production-grade LangGraph systems supporting stateful, multi-actor LLM applications through composable graphs.
This instructor-led, live training held in Berlin (either online or on-site) is designed for intermediate-level professionals seeking to expand their knowledge of conversational agents and implement LangChain in real-world contexts.
By the end of the training, participants will have the capability to:
Comprehend the basics of LangChain and its role in developing conversational agents.
Develop and launch conversational agents using LangChain.
Integrate conversational agents with APIs and external services.
Employ Natural Language Processing (NLP) techniques to boost the performance of conversational agents.
This instructor-led, live training in Berlin (available online or onsite) is designed for developers and IT professionals of all skill levels seeking to automate tasks and processes with AI, minimizing the need for extensive coding.
By the conclusion of this training, participants will have the capability to:
Design and execute intricate workflows using n8n's visual programming interface.
Incorporate AI capabilities into workflows using LangChain.
Construct custom chatbots and virtual assistants for diverse applications.
Conduct advanced data analysis and processing utilizing AI agents.
This instructor-led course on Berlin explores the application of LangGraph in marketing automation. Participants will acquire the skills to design conditional content workflows, integrate LLMs for personalized email campaigns, and manage state across multi-step pipelines, thereby developing practical expertise for modern marketing strategies.
This instructor-led, live training is conducted in Berlin (either online or on-site) and is designed for developers and software engineers at beginner to intermediate levels. It focuses on helping you grasp the core concepts and architecture of LangChain while building the practical skills required to develop AI-powered applications.
Once you have completed this training, you will be capable of:
Understanding the fundamental principles of LangChain.
Setting up and configuring the LangChain environment.
Understanding the architecture and how LangChain interfaces with large language models (LLMs).
This live course, available online or on-site in Berlin, empowers intermediate engineers to construct dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement complex branching logic, and integrate retrieval systems, APIs, and memory modules to build robust, context-aware applications.
This live, instructor-led training session, available either online or on-site, is tailored for intermediate-level developers and software engineers seeking to develop AI-driven applications utilizing the LangChain framework.
Upon completion of this program, attendees will have acquired the skills to:
Comprehend the core principles of LangChain and its constituent elements.
Integrate LangChain with major large language models (LLMs), such as GPT-4.
Construct modular AI solutions leveraging the LangChain architecture.
Diagnose and resolve frequent challenges within LangChain-based applications.
This instructor-led LangGraph Foundations course in Berlin empowers developers to create sophisticated graph-based LLM applications. Master essential concepts such as nodes, edges, state management, and conditional branching. Learn to integrate external tools, retrieval systems, and APIs, and ultimately deploy dependable workflows through practical, hands-on laboratory sessions.
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