What if your cloud could see, hear, speak, and reason — with enterprise-grade reliability? With Azure AI, it can.
Our instructor-led live courses explore how Microsoft’s powerful AI platform fuels real-world innovation — whether you're deploying multimodal agents through Azure OpenAI, building voice apps with Speech Services, or automating decisions using Cognitive Services and Azure Machine Learning.
Train online via an interactive remote desktop, or join live sessions in Nepal — held onsite at your location or at a NobleProg training center — where labs simulate mission-critical AI pipelines at scale.
Also referred to as Microsoft Azure AI, Azure Cognitive Services, or Azure OpenAI, this training track helps professionals and teams design, deploy, and govern intelligent applications — securely, responsibly, and at cloud speed.
NobleProg – Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . 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.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . 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.
Azure Machine Learning (ML) and Azure OpenAI provide cloud-based services that empower teams to develop, assess, and launch machine learning and generative AI solutions within production environments.
This instructor-led, live training session (available online or on-site) is designed for intermediate-level data and application professionals aiming to leverage Azure ML and Azure OpenAI to construct, deploy, and manage comprehensive AI solutions.
Upon completion of this training, participants will be capable of:
Navigating the Azure Machine Learning Studio to implement full-cycle ML workflows.
Preparing data, training, testing, and evaluating models using suitable validation metrics.
Reliably registering, packaging, and deploying models to managed endpoints.
Integrating Azure OpenAI models and Azure AI Search into applications following best practices.
Course Format
Interactive lectures and discussions.
Ample exercises and practical practice.
Hands-on implementation within a live-lab environment.
Course Customization Options
To request customized training for this course, please reach out to us to arrange it.
This instructor-led, live training in Nepal (online or onsite) is designed for beginner, intermediate, and advanced level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.
By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a functional agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level developers and technical professionals who wish to use Azure OpenAI to build secure, useful, and scalable enterprise AI solutions.
By the end of this training, participants will be able to: explain Azure OpenAI capabilities, create effective prompts, connect AI applications to enterprise data, and apply security and responsible AI practices.
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