Online or onsite, instructor-led live AI Engineering training courses demonstrate through interactive hands-on practice how to apply artificial intelligence techniques to solve complex problems in various domains.
AI Engineering training is available as "online live training" or "on-site live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Nepal onsite live AI Engineering trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and software developers who wish to build intelligent applications using AI and ML.
By the end of this training, participants will be able to:
Understand the advanced concepts and technologies behind AI and ML.
Analyze and visualize data to inform AI/ML model development.
Build, train, and deploy AI/ML models effectively.
Create intelligent applications that can solve real-world problems.
Evaluate the ethical implications of AI applications in various industries.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.
By the end of this training, participants will be able to:
Implement and analyze deep learning architectures.
Apply machine learning at scale in a distributed computing environment.
Design and execute reinforcement learning models for decision-making.
Develop sophisticated NLP systems for language understanding.
Utilize computer vision techniques for image and video analysis.
Address ethical considerations in the development and deployment of AI systems.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level to intermediate-level AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices.
By the end of this training, participants will be able to:
Understand the core concepts and technologies behind AI and machine learning.
Implement basic machine learning models using TensorFlow and PyTorch.
Apply AI techniques to solve practical problems in software development.
Manage and maintain AI projects using best practices in AI engineering.
Recognize the ethical implications and responsibilities involved in developing AI systems.
This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.
By the end of this training, participants will be able to:
Understand the history, principles, and impact of artificial intelligence.
Identify and apply different machine learning algorithms.
Manage and analyze data effectively for AI applications.
Recognize the practical applications and limitations of AI in different sectors.
Discuss the ethical considerations and societal implications of AI technology.
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