Chatbot training programs encompass the full lifecycle of conversational systems, from design and development to integration and deployment. Learners gain the skills to construct chatbots, link them with established applications and data sources, and leverage natural language processing (NLP) and large language models (LLMs) to craft engaging conversational interactions.
Courses are available as online live training or onsite live training. Online live sessions are conducted via an interactive remote desktop. Onsite live training can be hosted at the client's location in Gaia or at NobleProg’s training centres in Gaia.
NobleProg -- Your Local Training Provider
Holiday Inn Porto - Gaia
220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal
From Porto by Metro
If you're coming from Porto city centre:
Take the Metro Line D (yellow line) toward Vila d’Este.
Get off at João de Deus.
From João de Deus, walk about 13 minutes to: Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.
From Vila Nova de Gaia train station
If by “local train station” you mean Vila Nova de Gaia-Devesas:
The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
You can therefore walk directly rather than taking the metro.
This live, instructor-led training in Gaia (online or onsite) is designed for developers, data scientists, and tech enthusiasts at an intermediate level who seek practical experience in building and deploying custom chatbots using AI platforms.
Upon completing this training, participants will be capable of:
Grasping the core principles of chatbot development.
Investigating various AI platforms suitable for chatbot creation.
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 Gaia (online or onsite) targets intermediate-level UX designers, product managers, and customer service professionals who wish to optimize user interactions and satisfaction through the customization of chatbots.
Upon completion of this training, participants will be able to:
Grasp the principles of user-centric chatbot design.
Customize chatbots to align with user needs and preferences.
Apply best practices for enhancing user interaction.
Leverage 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 Gaia (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 Gaia (online or onsite) is aimed at beginner-level participants, including 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 Gaia (online or onsite) is designed for participants with varying levels of expertise who want to use Google's AutoML platform to build custom 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 optimise chatbot performance over time.
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