Choose Your domain,then your depth

  Learn from Industry Experts | Work on Real Hardware | Build Career-Ready Projects. 

100 % Placement Opportunities with
Dedicated Placement Assistance |Career Guidance | Hiring Opportunities.
| Hands-On Projects Industry | Recognised Certification

Our programs

Advanced Diploma & PG Diploma Programs

(Placement Oriented Program)

Each domain offers an Advanced Diploma and an PG Diploma. Select a program to view its full curriculum, outcomes and placement details.

Embedded Systems

Firmware, drivers, RTOS — and, at PG level, automotive and Agentic AI.

ADVANCED DIPLOMA

Advanced Diploma in Embedded Systems

320 hours
11 modules
2 capstones
1 certification

Electronics → C & DSA → Embedded C → C++ & Linux → ARM Cortex-M → Drivers → FreeRTOS

Who can enroll: Undergraduates, graduates and working professionals building an embedded career.

Mode: Online & Offline

View program →
PG DIPLOMA

PG Diploma in Embedded & Automotive Systems with Agentic AI

500 hours
17 modules
3 capstones
3 certifications

Everything in the Advanced Diploma → CAN, LIN & AUTOSAR → ISO 26262 → MATLAB/Simulink → Agentic AI

Who can enroll: Graduates and working professionals targeting automotive and embedded AI roles.

Mode: Offline

View program →

VLSI

RTL design and verification — and, at PG level, ASIC verification, STA and physical design.

ADVANCED DIPLOMA

Advanced Diploma in VLSI Design & Verification

300 hours
9 modules
5 capstones
1 certification

Electronics → C++ & Linux → Verilog RTL → Protocols → FPGA → SystemVerilog → UVM

Who can enroll: Undergraduates, graduates and working professionals entering RTL design and verification.

Mode: Online & Offline

View program →
PG DIPLOMA

PG Diploma in VLSI Design & ASIC Verification

500 hours
13 modules
2 capstones
3 certifications

RTL & FPGA → SystemVerilog & UVM → Protocol Verification → Python & TCL → STA → Physical Design

Who can enroll: Graduates and working professionals aiming for ASIC verification and signoff roles.

Mode: Offline

View program →

AI & Data Science

Analytics and machine learning — and, at PG level, deep learning, NLP and Generative AI.

ADVANCED DIPLOMA

Advanced Diploma in Artificial Intelligence & Machine Learning

300 hours
8 modules
2 capstones
1 certification

MySQL → Python → Excel → Power BI → Pandas EDA → Machine Learning

Who can enroll: Undergraduates, graduates and working professionals entering analytics and ML.

Mode: Online & Offline

View program →
PG DIPLOMA

PG Diploma in Applied Data Science with Generative AI

500 hours
12 modules
3 capstones
3 certifications

Analytics & ML → Deep Learning & Computer Vision → NLP → Generative AI

Who can enroll: Graduates and working professionals aiming for data science and Generative AI roles.

Mode: Offline

View program →

Advanced Diploma vs PG Diploma at a glance

Feature Advanced Diploma PG Diploma
Duration 300–320 hours 500 hours
Depth Strong, job-ready foundation in one domain Foundation plus advanced specialisation tracks
Certifications 1 certification 3 certifications across the program
Capstone projects 2–5 projects 2–3 major capstones
Mode Online & Offline Offline, instructor-led
Specialisation Embedded: FreeRTOS · VLSI: SystemVerilog & UVM · AI: Machine learning Embedded: Automotive & Agentic AI · VLSI: ASIC verification, STA & physical design · AI: Deep learning, NLP & Generative AI
Who can enroll Undergraduates, graduates and working professionals Graduates and working professionals

Program takeaways

What every learner walks away with

Industry-aligned skills

Curricula mapped to the roles companies hire for in embedded, VLSI and AI.

Hands-on tools and hardware

LPC1768 and STM32 boards, Artix-7 and Zynq FPGAs, Vivado, Questasim, Power BI, TensorFlow and more.

Strong programming core

C, C++ or Python with data structures and competitive problem-solving.

A real project portfolio

Capstone and hands-on projects you can present in interviews.

Recognised certification

An Advanced Diploma certificate, or three certifications on the PG Diploma path.

Placement readiness

Interview preparation, assessments and access to placement drives.

Assessment

Continuous assessment, from first module to final capstone

Learning is validated at every stage, so skill gaps are caught early and every certificate reflects proven ability.

01

Coding exercises

Programming assignments and practice problems on CDA.

02

Module assessments

Knowledge tests at the end of each module.

03

Lab and hardware evaluations

Hands-on exercises on boards, FPGAs, EDA tools and datasets.

04

Capstone reviews

Design, demo and evaluation of each capstone project.

05

Interview readiness

Technical assessments mirroring recruitment screening.

06

Certification

Awarded on successful completion of modules, assessments and capstones.

Projects

Projects that become your portfolio

Every program includes capstones and hands-on projects built on real hardware, real tools and real datasets.

Embedded Systems

  • Data structures applications
  • Socket programming chat server
  • GPIO, UART, SPI & I2C integration
  • Real-time data acquisition
  • Wireless communication projects
  • Sensor data logging system
  • AI-driven HIL testing & embedded AI agent (PG)

VLSI

  • UART, SPI, I2C & AXI4 protocol design
  • Digital controllers & ALU cores on FPGA
  • RTL to realization on FPGA
  • SystemVerilog & UVM verification
  • End-to-end functional verification (PG)
  • RTL to silicon projects (PG)

AI & Data Science

  • Business data analysis
  • Flight price prediction
  • Customer classification
  • Customer segmentation
  • Face recognition & image processing
  • Gesture recognition
  • Gender detection system

Project selection depends on the program, hardware availability, project scope and curriculum coverage. (PG) marks PG Diploma projects.

Pre-placement readiness & placement drives

From readiness to recruitment

Placement preparation runs alongside training on Cranes Digital Academy, then leads into structured placement drives.

Pre-placement readiness

Learn

Structured materials, technical resources and self-paced revision.

Practice

Coding challenges, technical questions, labs and projects.

Assess

Domain assessments, skill-gap analysis and screening-test preparation.

Get placement-ready

Interview prep, role-wise questions, resume and project readiness.

Mock interviews

Technical and HR interview practice.

Aptitude preparation

Practice for recruitment screening tests.

Resume and project presentation

Present your capstones with confidence.

Company- and role-wise questions

Targeted preparation for each job role.

How placement drives work

01

Readiness check

Eligibility based on assessments and project completion.

02

Profile shortlisting

Resumes and project portfolios shared with hiring companies.

03

Screening tests

Aptitude and technical tests conducted during the drive.

04

Interviews

Technical and HR interview rounds.

05

Offer

Selection and onboarding with the hiring company.

Embedded Systems roles

Embedded Systems Engineer Embedded Software Developer Linux Embedded Engineer Automotive Software Developer Embedded AI Engineer

VLSI roles

RTL Design Engineer FPGA Engineer Design & Verification Engineer ASIC / SoC Verification Engineer Silicon Validation Engineer

AI & Data Science roles

Data Analyst Power BI Analyst ML Engineer Data Scientist Generative AI Engineer

Hiring Client

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