Chatbot training courses cover the design, development, integration, and deployment of conversational systems. Participants learn how to build chatbots, connect them to existing applications and data sources, and use natural language processing (NLP) and large language models (LLMs) to create interactive conversational experiences.
Training is available as online live training or onsite live training. Online live training is delivered through an interactive remote desktop. Onsite live training can be conducted at customer premises in Medellín or at NobleProg training centers in Medellín.
NobleProg -- Your Local Training Provider
Medellín - San Fernando Plaza
06th Floor Torre Proteccion, Medellín, colombia
The center occupies the sixth floor of the complex. As well as being steps away from an excellent food court and other amenities, the center is convenient for the Zona Rosa tourist district. The building is convenient for public transport and offers easy access to the main bus routes, metro stations Poblado and Aguacatala, and taxis.
This instructor-led, live training in Medellín (online or onsite) is aimed at intermediate-level developers, data scientists, and tech enthusiasts who wish to gain hands-on experience in building and deploying custom chatbots using AI platforms.
By the end of this training, participants will be able to:
Understand the fundamentals 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 Medellín (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 Medellín (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 Medellín (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 Medellín (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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