Online or onsite, instructor-led live Conversational AI training courses demonstrate through interactive hands-on practice how to use the technology of Conversational AI to enable computers to interact with humans in a natural way.
Conversational AI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Conversational AI trainings in Yangon can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Yangon Myanmar
Pyay Road Kamayut Tsp,, Yangon, Myanmar
The Centre located in A 9-minute walk from the Junction Square shopping mall, this modern hotel features an art nouveau exterior, and is 4 km from Shwedagon Pagoda. Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
This instructor-led, live training in Yangon (online or onsite) is aimed at intermediate-level researchers, analysts, and knowledge workers who want to leverage Claude AI for processing large amounts of data, synthesizing information, and automating research tasks.
By the end of this training, participants will be able to:
Use Claude AI for literature reviews and research synthesis.
Summarize reports, research papers, and long-form documents.
Extract key insights and trends from structured and unstructured data.
Integrate Claude AI into research and knowledge management workflows.
This instructor-led, live training in Yangon (online or onsite) is aimed at advanced-level DevOps teams and IT architects who wish to leverage Kubiya AI to automate and optimize enterprise-level DevOps operations.
By the end of this training, participants will be able to:
Customize Kubiya AI for specific enterprise DevOps environments.
Integrate Kubiya AI with CI/CD tools used in enterprise DevOps.
Enhance DevOps automation with AI-driven workflows.
Ensure security and compliance within AI-driven DevOps processes.
This instructor-led, live training in Yangon (online or onsite) is aimed at beginner-level to intermediate-level content creators, writers, and marketers who want to leverage Claude AI for content generation, editing, and summarization to enhance blogs, reports, and marketing materials.
By the end of this training, participants will be able to:
Use Claude AI for content brainstorming and idea expansion.
Enhance writing with AI-assisted editing and proofreading.
Generate summaries for long-form content and reports.
Automate marketing copy creation for different platforms.
This instructor-led, live training in Yangon (online or onsite) is aimed at intermediate-level cloud engineers and operations managers who wish to improve their cloud infrastructure management using Kubiya AI.
By the end of this training, participants will be able to:
Integrate Kubiya AI into cloud infrastructure.
Automate cloud resource provisioning and management.
This instructor-led, live training in Yangon (online or onsite) is aimed at intermediate-level software developers and AI engineers who wish to integrate Claude AI into their applications, build AI-powered chatbots, and enhance software functionality with AI-driven automation.
By the end of this training, participants will be able to:
Use the Claude AI API to integrate AI into applications.
Develop AI-driven chatbots and virtual assistants.
Enhance applications with AI-powered automation and NLP.
Optimize and fine-tune Claude AI models for different use cases.
This instructor-led, live training in Yangon (online or onsite) is aimed at intermediate-level DevOps engineers and CI/CD managers who wish to enhance their pipelines with AI automation using Kubiya AI.
By the end of this training, participants will be able to:
Understand the fundamentals of integrating AI into DevOps pipelines.
Implement Kubiya AI within popular CI/CD tools such as Jenkins and GitLab CI.
Automate CI/CD pipeline tasks with Kubiya AI.
Monitor and manage CI/CD pipelines using AI for proactive problem detection.
This instructor-led, live training in Yangon (online or onsite) is aimed at advanced-level professionals who wish to integrate ManyChat with AI tools to build intelligent chatbots, enhance customer engagement, and automate business processes.
By the end of this training, participants will be able to:
Integrate ManyChat with AI models for smarter customer interactions.
Develop NLP-driven chatbot responses using ChatGPT.
Automate customer support and marketing workflows with AI.
Analyze chatbot performance using data-driven insights.
This instructor-led, live training in Yangon (online or onsite) is aimed at advanced-level DevOps engineers and automation specialists who wish to deepen their understanding of Kubiya AI and leverage its full capabilities for large-scale operations.
By the end of this training, participants will be able to:
Automate complex workflows using Kubiya AI.
Customize AI responses and actions.
Scale DevOps operations with Kubiya AI.
Troubleshoot and optimize Kubiya AI implementations.
Understand and implement security and compliance measures.
Integrate Kubiya AI with advanced CI/CD tools and additional cloud services.
Set up performance monitoring and create custom reports.
This instructor-led, live training in Yangon (online or onsite) is aimed at beginner-level professionals who wish to integrate Claude AI into their daily workflows to improve efficiency and automation.
By the end of this training, participants will be able to:
Use Claude AI for automating repetitive tasks and streamlining workflows.
Enhance personal and team productivity using AI-powered automation.
Integrate Claude AI with existing business tools and platforms.
Optimize AI-driven decision-making and task management.
This instructor-led, live training in Yangon (online or onsite) is aimed at advanced-level Conversational AI developers who wish to gain practical experience with advanced skills necessary for developing, managing, and optimizing sophisticated conversational AI projects.
By the end of this training, participants will be able to:
Design and develop advanced conversational AI solutions.
Implement adaptive learning for conversation models.
Integrate AI models with various enterprise-level systems.
This instructor-led, live training in Yangon (online or onsite) is aimed at advanced-level marketing professionals who wish to master ManyChat automation for sophisticated marketing campaigns and audience engagement.
By the end of this training, participants will be able to:
Develop advanced automation workflows with ManyChat.
Optimize multi-channel campaigns across Messenger, Instagram, and WhatsApp.
Implement A/B testing for chatbot interactions.
Utilize advanced audience segmentation for personalized marketing.
This instructor-led, live training in Yangon (online or onsite) is aimed at advanced-level Conversational AI developers who wish to gain practical experience with advanced skills necessary for developing, managing, and optimizing sophisticated conversational AI projects.
By the end of this training, participants will be able to:
Master advanced design and development principles for conversational AI.
Implement robust conversational flows with adaptive learning.
Integrate AI models with various enterprise-level systems.
Ensure effective project management and lifecycle strategies for AI-driven projects.
Evaluate and refine conversation models based on user feedback and data analysis.
This instructor-led, live training in Yangon (online or onsite) is aimed at beginner-level business professionals, customer support teams, and tech enthusiasts who wish to understand the fundamentals of Claude AI and leverage it for business applications.
By the end of this training, participants will be able to:
Understand Claude AI’s capabilities and use cases.
Set up and interact with Claude AI effectively.
Automate business workflows with conversational AI.
Enhance customer engagement and support using AI-driven solutions.
This instructor-led, live training in Yangon (online or onsite) is aimed at beginner-level DevOps professionals and IT managers who wish to explore the capabilities of Kubiya AI and integrate it with their existing tools.
By the end of this training, participants will be able to:
Understand the features and benefits of Kubiya AI.
Set up and configure Kubiya AI in their environment.
Implement basic use cases for Kubiya AI in DevOps.
This instructor-led, live training in Yangon (online or onsite) is aimed at beginner-level marketing professionals who wish to create basic chatbots and automate customer engagement using ManyChat.
By the end of this training, participants will be able to:
Understand the fundamentals of ManyChat and chatbot automation.
Set up and configure a ManyChat account connected to their business page.
Create basic chatbots for lead generation and customer support.
Automate simple marketing workflows to enhance customer engagement.
This instructor-led, live training in Yangon (online or onsite) is aimed at web developers who wish to use Microsoft Bot Framework Composer to design, build, and test conversational AI applications.
By the end of this training, participants will be able to:
Set up the necessary development environment to start developing bot projects.
Create a bot and integrate additional functionalities and elements with Composer.
Enhance bot features with Composer API and customize interactions using CLI tools.
Test, debug, and validate bots, and then deploy them to Azure.
This instructor-led, live training in Yangon (online or onsite) is aimed at developers who wish to install, set up, and manage chatbot-building platforms and code-based frameworks to create and deploy chatbot services.
By the end of this training, participants will be able to design, build, evaluate, and test chatbot services to provide automated chat or voice support interfaces for their users.
This instructor-led, live training in Yangon (online or onsite) is aimed at researchers and developers who wish to install, configure, customize, and manage the ParlAI platform to develop their AI models.
By the end of this training, participants will be able to share, train, and evaluate AI models to build and develop conversational solutions across existing chat services.
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The detail in which the instructor explained all the concepts.
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