These chatbot training courses encompass the end-to-end lifecycle of conversational systems, from initial design and development to integration and deployment. Learners acquire the skills necessary to construct chatbots, link them with existing applications and data repositories, and leverage natural language processing (NLP) alongside large language models (LLMs) to craft engaging interactive experiences.
Courses are offered as either online or onsite live sessions. Online live training is conducted via an interactive remote desktop. Onsite live training can be hosted at client facilities in Sofia or at NobleProg training centers in Sofia.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
This instructor-led, live training in Sofia (online or on-site) is targeted at intermediate-level developers, data scientists, and tech enthusiasts seeking practical experience in building and deploying custom chatbots using AI platforms.
By the end of this training, participants will be able to:
Understand the core principles of chatbot development.
Explore various AI platforms for creating chatbots.
Design and implement custom chatbot solutions.
Deploy chatbots to a variety of channels and platforms.
Analyze chatbot performance and user interaction.
Integrate chatbots with existing systems and databases.
This instructor-led, live training in Sofia (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 Sofia (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 Sofia (online or onsite) is tailored for beginner-level participants, such as business professionals and tech enthusiasts, who wish to learn how to create and customize chatbots using user-friendly AI tools.
By the end of this training, participants will be able to:
Understand the basics 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 Sofia (online or onsite) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build 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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