These training programs focus on the end-to-end lifecycle of conversational systems, encompassing design, development, integration, and deployment. Learners gain the skills to construct chatbots, link them with existing applications and data sources, and leverage natural language processing (NLP) and large language models (LLMs) to craft engaging interactive experiences.
Instruction is offered via online live sessions or onsite live training. Online live training is facilitated through an interactive remote desktop. Onsite live training can take place at your facility in Ostrava or at NobleProg training centers in Ostrava.
NobleProg -- Your Local Training Provider
Ostrava
NobleProg Ostrava, Října 205/45, Ostrava, Czech Republic, 70200
You'll reach Platan Office thanks to the bus stop at Divadlo Loutek, just a 2-minute walk away. Leoš Janáček Airport Ostrava is located 25 km away. Platan Office have breakout area for time away from your desk or get fresh air on the rooftop terrace.
This instructor-led, live training in Ostrava (online or onsite) is designed for intermediate-level developers, data scientists, and technology enthusiasts who want to gain practical experience in building and deploying custom chatbots using AI platforms.
Upon completion of this training, participants will be capable of:
Grasping the core principles of chatbot development.
Exploring various AI platforms suitable for creating chatbots.
Designing and implementing bespoke chatbot solutions.
Deploying chatbots across multiple channels and platforms.
Evaluating chatbot performance and user engagement.
Integrating chatbots with existing systems and databases.
This instructor-led, live training in Ostrava (online or onsite) targets intermediate-level UX designers, product managers, and customer service professionals aiming to optimize user interactions and satisfaction through chatbot customization.
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 Ostrava (online or onsite) is designed for advanced-level developers, AI specialists, and tech professionals who wish to explore advanced techniques for customizing AI chatbots to meet 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 Ostrava (online or onsite) is designed for beginner-level participants, including business professionals and technology enthusiasts, who wish to learn how to create and customize chatbots using user-friendly AI tools.
Upon completing this training, participants will be able to:
Grasp the fundamental concepts of chatbot technology.
Navigate and use platforms like Dialogflow and Microsoft Azure Bot Service.
Design and personalize chatbot dialogue flows.
Integrate chatbots with diverse platforms and services.
Deploy chatbots for practical, real-world use cases.
This instructor-led live training in Ostrava (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:
Grasp 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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