DigitCodemy structures its training tracks around Semiconductor and VLSI Design, Automotive Embedded Systems, IoT, and Edge AI. Each track is delivered with engineering and diploma institutions, so the curriculum stays aligned with the skills their faculty and students need.
Our application-driven method asks learners to apply each concept in a hands-on project, with technical guidance from IITians and industry experts at every stage.
Formats
Three ways we work with institutions
Each format is designed to fit an institution's existing curriculum and calendar.
Projects
Hands-on industrial projects
Students build working embedded, IoT, or edge AI systems against realistic industry briefs, documenting design choices and testing results as they go.
Faculty
Faculty Development Programmes
FDPs bring emerging tech stacks into the classroom, giving faculty structured hands-on time with VLSI, embedded, and edge AI tools they can teach from.
Readiness
Structured finishing-school programmes
Finishing-school tracks run in defined modules that take students from core concepts to project delivery, aligned with the skills technology employers look for.
Student outcomes
How students build practical skill and readiness
01
Learn the core concepts
Students study the fundamentals of their chosen track, tied directly to the institution's curriculum.
02
Apply them in a project
Learners put concepts into practice on a hands-on industrial project with guidance from IITian and industry mentors.
03
Document and present the work
Each student records design decisions, test results, and outcomes, building a project record they can show to employers.
04
Prepare for technology roles
Structured readiness sessions help students articulate their skills and pursue opportunities in evolving technology sectors.