Our chatbot training programs encompass the full lifecycle of conversational systems, including design, development, integration, and deployment. Learners gain the skills to construct chatbots, link them to existing applications and data repositories, and leverage natural language processing (NLP) and large language models (LLMs) to craft engaging interactive experiences.
Training is offered as either online live sessions or onsite live instruction. Online live training is conducted via an interactive remote desktop, while onsite live training can be hosted at client locations in Östergötland or at NobleProg training centers in Östergötland.
NobleProg -- Your Local Training Provider
Linköping
NobleProg classroom in Scandic Linköping, Gamla Tanneforsvägen 51, Linköping, sweden, 582 54
Scandic Linköping City is a modern conference place. It's located in central Linköping and also close to Linkoping Cathedral and Linköping Garden Society. Linköping Airport is just a 5-minute car drive away from the conference centre. Other famous landmarks such as the Swedish Airforce Museum and the Old Town is only a 10-minute drive as well.
This instructor-led, live training in Östergötland (online or onsite) is designed for intermediate developers, data scientists, and tech enthusiasts who aim to acquire practical skills in building and deploying custom chatbots using AI platforms.
By the conclusion of this training, participants will be able to:
Understand the core principles of chatbot development.
Explore different AI platforms for chatbot creation.
Design and implement custom chatbot solutions.
Deploy chatbots to various channels and platforms.
Analyze chatbot performance and user interaction.
Integrate chatbots with existing systems and databases.
This instructor-led, live training in Östergötland (online or onsite) is aimed at intermediate-level UX designers, product managers, and customer service professionals who wish to optimize user interactions and satisfaction through the customization of chatbots.
By the end of this training, participants will be able to:
Understand the principles of user-centered chatbot design.
Customize chatbots to align with user needs and preferences.
Implement best practices for enhancing user interaction.
Utilize analytics to measure and improve chatbot performance.
Integrate chatbots into existing customer service workflows.
Ensure a consistent and engaging user experience across platforms.
This instructor-led, live training in Östergötland (online or onsite) is aimed at advanced-level developers, AI specialists, and tech professionals who wish to delve into advanced techniques for customizing AI chatbots for specific needs.
By the end of this training, participants will be able to:
Develop advanced chatbot functionalities using custom code.
Integrate chatbots with complex external APIs and services.
Implement advanced natural language processing (NLP) techniques.
Optimize chatbot performance and user interactions.
Ensure security and privacy in chatbot applications.
Deploy and scale chatbots for high-demand environments.
This instructor-led, live training in Östergötland (online or onsite) is targeted at beginner-level participants, including business professionals and technology enthusiasts, who want to learn how to create and customize chatbots using user-friendly AI tools.
By the end of this training, participants will be able to:
Grasp the fundamentals of chatbot technology.
Navigate and utilize tools like Dialogflow and Microsoft Azure Bot Service.
Design and customize chatbot conversations.
Integrate chatbots with various platforms and services.
This instructor-led, live training in Östergötland (online or on-site) is designed for participants with varying levels of expertise who wish to leverage Google's AutoML platform to create customized chatbots for various applications.
By the end of this training, participants will be able to:
Understand the fundamentals of chatbot development.
Navigate the Google Cloud Platform and access AutoML.
Prepare data for training chatbot models.
Train and evaluate custom chatbot models using AutoML.
Deploy and integrate chatbots into various platforms and channels.
Monitor and optimize chatbot performance over time.
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