Our chatbot training courses provide comprehensive coverage of the design, development, integration, and deployment of conversational systems. Learners gain practical experience in constructing chatbots, linking them to existing applications and data sources, and leveraging natural language processing (NLP) and large language models (LLMs) to craft engaging interactive experiences.
Instruction is offered through either online live sessions or onsite live training. Online live training is facilitated via an interactive remote desktop connection. Alternatively, onsite live training can be held at your facility in Durban or at NobleProg training centres in Durban.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led, live training in Durban (available online or onsite) targets intermediate developers, data scientists, and tech enthusiasts eager to gain practical experience in building and deploying custom chatbots using AI platforms.
By the end of this training, participants will be able to:
Grasp the fundamentals of chatbot development.
Explore various AI platforms suitable for chatbot creation.
Design and implement bespoke chatbot solutions.
Deploy chatbots across multiple channels and platforms.
Analyze chatbot performance and user interaction metrics.
Integrate chatbots seamlessly with existing systems and databases.
This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level UX designers, product managers, and customer service professionals who aim to optimise user interactions and satisfaction by customising chatbots.
Upon completion of this training, participants will be able to:
Grasp the principles of user-centred chatbot design.
Tailor 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 Durban (online or onsite) is designed for advanced developers, AI specialists, and technology professionals who wish to explore advanced techniques for customising AI chatbots to meet specific requirements.
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.
Optimise 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 Durban (online or onsite) targets beginner-level participants, such as business professionals and tech enthusiasts, who wish to learn how to create and customise 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 Durban (online or onsite) targets participants with varying levels of expertise who wish to utilise Google's AutoML platform to construct tailored chatbots for diverse applications.
By the conclusion 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 optimise chatbot performance over time.
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