Selected Industry Solutions

Talent Nurturing

Complete Curriculum System

Rich Teaching Resources

Improved Educational Management

Real Implementation Cases

Industry pain points

Deficiency in Qualified Teachers

Big data and AI involve knowledge from multiple disciplines and areas, imposing new challenges for the teachers with current teaching level. However, since daily workload is already full for them and it will take a long period to nurture in-house teachers, significantly limiting the smooth functioning of teaching work.

Lack of Practice Environment

Developers are dissatisfied with the normal servers which work in the field of Big Data & AI for high computing performance, they do not have the algorithms, computing environment and data when developers are doing data mining and data analysis experiments, therefore they were unable to support teaching of practice courses.

Deficiency in Teaching Resource

In the field of big data and AI, unsound curriculum system, deficient textbook and lecture notes, the lack of accumulation in compiling such curriculum by in-house teachers, especially the cases and related dataset that come from real life projects in enterprises have all resulted in slow development of teaching content.

Deficiency in Qualified Teachers

Big data and AI involve knowledge from multiple disciplines and areas, imposing new challenges for the teachers with current teaching level. However, since daily workload is already full for them and it will take a long period to nurture in-house teachers, significantly limiting the smooth functioning of teaching work.
Lack of Practice Environment

Developers are dissatisfied with the normal servers which work in the field of Big Data & AI for high computing performance, they do not have the algorithms, computing environment and data when developers are doing data mining and data analysis experiments, therefore they were unable to support teaching of practice courses.
Deficiency in Teaching Resource

In the field of big data and AI, unsound curriculum system, deficient textbook and lecture notes, the lack of accumulation in compiling such curriculum by in-house teachers, especially the cases and related dataset that come from real life projects in enterprises have all resulted in slow development of teaching content.

Talent nurturing solutions

Solution Highlights

More than 2000

Enterprise Production Environments

Complete curriculum system and rich teaching resources, real industry implementation cases, high stability based on container cloud, high performance and scalability based on container, concise and artistic platform management interface, visualized development operating system

Complete

Educational Management Functions

Multiple role definition, flexible permission assignment, and diversified teaching interaction modes facilitate teacher's instruction and satisfy the basic needs of independent study by students.

Complete and Rich

Curriculum System

and Teaching Resources

Complete curriculum system covers big data and AI theory and practice courses and satisfies teaching of basic discipline courses, core courses and practice courses. It combines with assisting teaching material, lecture notes, videos, and testing questions, as well as excellent lecture team and expert teachers to provide a talent nurturing plan that totally fit with universities.

Real

Industrial Implementation Cases

Covering various industries including government, transportation, energy and finance, it provides data masking for related enterprises, rich and assorted case guidance materials, match functions that meet industrial demands to jump start project practice step by step.

More than 2000 Enterprise Production Environments

Complete curriculum system and rich teaching resources, real industry implementation cases, high stability based on container cloud, high performance and scalability based on container, concise and artistic platform management interface, visualized development operating system
Complete Educational Management Functions

Multiple role definition, flexible permission assignment, and diversified teaching interaction modes facilitate teacher's instruction and satisfy the basic needs of independent study by students.
Complete and Rich Curriculum System and Teaching Resources

Complete curriculum system covers big data and AI theory and practice courses and satisfies teaching of basic discipline courses, core courses and practice courses. It combines with assisting teaching material, lecture notes, videos, and testing questions, as well as excellent lecture team and expert teachers to provide a talent nurturing plan that totally fit with universities.
Real Industrial Implementation Cases

Covering various industries including government, transportation, energy and finance, it provides data masking for related enterprises, rich and assorted case guidance materials, match functions that meet industrial demands to jump start project practice step by step.

Application Scenarios / Cases

Course Development
Big Data Laboratory Construction
Training Camp

Course Development

Transwarp and the Software Institute of a university in Nanjing jointly set up a postgraduate elective course, Theory and Practice of Big data and AI, which includes theoretical and technical explanation, real environment practice, analysis of classical architectures, and project simulation, etc. They add technology trends, industrial ecology, application scenarios, construction plans and typical cases to the course in order to expand its depth and breadth.

Talent Nurturing

TDH

Sophon

TDC