KU-AIAC557 Data Acquisition Management System
Kathmandu University
View Details →Academic rigor. Industry relevance. Each course is designed for the specific challenges of its audience—whether graduate engineering students at Kathmandu University or senior professionals navigating AI transformation in their organizations.
Courses span from introductory machine learning foundations through advanced research-grade scientific computing. All programs include practical assignments and real-world case studies.
Kathmandu University
View Details →Kathmandu University
View Details →Kathmandu University / Corporate
View Details →Multiple Institutions
View Details →Fusemachines AI Academy
View Details →Fusemachines AI Academy
View Details →Three principles guide every course and workshop I design and deliver.
Students who understand why a model works can adapt when tools change. Students who only know how to click buttons cannot. Every course begins with conceptual foundations before introducing software.
Real learning happens when students wrestle with a problem before they see the solution. All my courses use challenge-based learning: students encounter the difficulty first, theory follows.
Every module ends with something built. A running model. A written analysis. A working system. Passive consumption of AI content produces passive practitioners. Active creation produces capable ones.
The DAMS course was the most demanding and very comprehensive course in the BTech program. Learned a lot of knowledge and practical skills.
After the AI for Productivity Workshop, I became better at writing prompts and understanding how to leverage AI tools in my work. It will surely improve my productivty and quality on my daily tasks.
For institutions and organizations interested in commissioning a course or requesting detailed curriculum materials, reach out directly. Custom course design is available for organizations with specific training needs.