Offered either online or on-site, our instructor-led live LangChain training sessions provide an interactive, hands-on approach to mastering the construction of AI-driven applications with the LangChain framework.
LangChain instruction is available in two formats: "online live training" and "on-site live training." Online live sessions (also referred to as "remote live training") are facilitated through an interactive remote desktop environment. On-site live training can be conducted locally at the client's location in Plovdiv or within NobleProg's corporate training centers in Plovdiv.
NobleProg -- Your Regional Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
This instructor-led, live training in Plovdiv (online or onsite) is designed for advanced-level AI researchers and policymakers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when constructing 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 Plovdiv (online or onsite) is targeted at intermediate-level web developers and UX designers who want to utilize LangChain to build intuitive and user-friendly web applications.
Upon completion of this training, participants will be able to:
Grasp the core concepts of LangChain and its significance in boosting web user experience.
Deploy LangChain within web apps to develop dynamic and responsive interfaces.
Incorporate APIs into web applications to enhance interactivity and user engagement.
Refine user experience through LangChain’s advanced customization capabilities.
Evaluate user behavior data to fine-tune web app performance and overall experience.
This instructor-led, live training in Plovdiv (online or onsite) is designed for beginner-level business analysts and automation engineers who want to understand how to use LangChain and APIs to automate repetitive tasks and workflows.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of API integration with LangChain.
Automate repetitive workflows using LangChain and Python.
Employ LangChain to connect various APIs for efficient business processes.
Design and automate custom workflows leveraging APIs and LangChain’s automation capabilities.
Harness the power of LangGraph for legal applications through this comprehensive 35-hour instructor-led training in Plovdiv. Designed for intermediate to advanced professionals, the course delves into workflow design, compliance mechanisms, and human-in-the-loop approvals, enabling you to build auditable, production-ready LLM solutions with confidence.
This instructor-led, live training in Plovdiv (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 Plovdiv empowers professionals to architect LangGraph-based financial solutions. Participants gain the skills to build regulatory-compliant workflows, integrate data standards, and deploy systems featuring strong governance, observability, and compliance controls.
This instructor-led, live training in Plovdiv (online or onsite) is aimed at advanced-level 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 such as 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’s application in healthcare through this live training in Plovdiv, designed for intermediate to advanced professionals. Acquire the skills to design stateful, compliant workflows, integrate key standards like FHIR and SNOMED CT, and effectively address ethical and operational challenges within regulated settings.
This instructor-led live training in Plovdiv is designed for advanced AI platform engineers, AI DevOps specialists, and ML architects who seek to optimize, debug, monitor, and operate production-grade LangGraph systems, enabling stateful, multi-actor LLM applications as composable graphs.
This guided, live training session in Plovdiv (delivered online or onsite) is designed for intermediate-level professionals looking to deepen their knowledge of conversational agents and apply LangChain to real-world scenarios.
By the conclusion of this training, participants will be able to:
Comprehend the foundational concepts of LangChain and its role in constructing conversational bots.
Create and deploy conversational agents using LangChain.
Link conversational agents with APIs and external services.
Implement Natural Language Processing (NLP) methods to boost the performance of conversational agents.
This instructor-led, live training in Plovdiv (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 in Plovdiv explores the application of LangGraph in marketing automation. Learners will acquire the skills to design conditional content workflows, integrate LLMs for personalized email campaigns, and manage state across complex pipelines, thereby developing practical capabilities for modern marketing strategies.
This instructor-led live training in Plovdiv (online or on-site) is designed for beginner to intermediate developers and software engineers who aim to learn the core concepts and architecture of LangChain and gain the practical skills necessary 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 on-site in Plovdiv, assists intermediate engineers in developing dynamic LLM workflows utilizing LangGraph. Participants will learn to architect stateful graphs, implement complex branching logic, and integrate retrieval systems, APIs, and memory to build robust, context-aware applications.
This instructor-led, live training in Plovdiv (online or onsite) is aimed at intermediate-level developers and software engineers who wish 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 in Plovdiv empowers developers to create graph-based LLM applications. It covers essential concepts such as nodes, edges, state management, and branching logic. Participants will learn to integrate tools, retrieval systems, and external APIs, culminating in the testing and deployment of reliable workflows through practical labs.
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