Available either online or onsite, our instructor-led live LangChain training programs guide participants through interactive, hands-on exercises to master the creation of AI-driven applications utilizing the LangChain framework.
These courses are offered as either "online live training" or "onsite live training". The online live option (also known as "remote live training") is facilitated through an interactive remote desktop connection. Onsite live training can be conducted at your organization’s premises in Durban or at NobleProg’s corporate training facilities in Durban.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led, live training in Durban (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 Durban (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 Durban (online or onsite) is tailored for 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 conclusion of this training, participants will be able to:
Comprehend the fundamentals of API integration with LangChain.
Automate repetitive workflows using LangChain and Python.
Utilise 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 comprehensive 35-hour instructor-led course in Durban. Designed for intermediate to advanced professionals, the programme covers workflow design, compliance controls, and human-in-the-loop approvals. Learn to build auditable, production-ready LLM solutions with confidence and precision.
This instructor-led, live training in Durban (online or on-site) is designed for intermediate-level data professionals who wish to utilise LangChain to enhance their data analysis and visualisation capabilities.
Upon completion of this training, participants will be able to:
Automate data retrieval and cleaning processes using LangChain.
Conduct advanced data analysis leveraging Python and LangChain.
Develop visualisations with Matplotlib and other Python libraries integrated with LangChain.
Utilise LangChain to generate natural language insights derived from data analysis.
This instructor-led training in Durban empowers professionals to build LangGraph-based solutions for the finance industry. Learners acquire the skills to implement workflows that align with regulatory standards, integrate data specifications, and deploy systems featuring robust governance, observability, and compliance controls.
This instructor-led, live training in Durban (online or onsite) is designed for 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.
Delve into LangGraph for healthcare through this live training in Durban, specifically curated for intermediate to advanced professionals. Gain the skills to design stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and navigate the ethical and operational challenges inherent in regulated environments.
This instructor-led, live training in Durban targets advanced AI platform engineers, DevOps for AI and ML architects seeking to optimise, debug, monitor and operate production-grade LangGraph systems for stateful, multi-actor LLM applications as composable graphs.
This instructor-led, live training in Durban (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 Durban (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 Durban introduces LangGraph for marketing automation. Participants will learn to design conditional content workflows, integrate LLMs for personalised email campaigns, and manage state across multi-step pipelines, acquiring practical skills essential for modern marketing.
This instructor-led, live training in Durban (online or onsite) is tailored for beginner to intermediate developers and software engineers who want to master LangChain's core concepts and architecture, gaining the practical skills needed to build AI-powered applications.
Upon completing 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 interfaces with large language models (LLMs).
This live course, conducted online or onsite in Durban, assists intermediate engineers in constructing dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement branching logic, and integrate retrieval, APIs, and memory to build robust, context-aware applications.
This instructor-led, live training in Durban (online or onsite) targets intermediate developers and software engineers aiming to build AI-powered applications via the LangChain framework.
Upon completion of this training, participants will achieve the following capabilities:
Comprehend the core principles and constituent parts of LangChain.
Effectively integrate LangChain with prominent large language models such as GPT-4.
Develop modular AI applications utilizing LangChain.
Diagnose and resolve typical issues arising in LangChain applications.
This instructor-led LangGraph Foundations course in Durban empowers developers to create graph-based LLM applications. Participants will master core concepts such as nodes, edges, state management, and branching logic. The curriculum covers integrating tools, retrieval systems, and external APIs, culminating in the testing and deployment of reliable workflows through hands-on laboratory sessions.
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