DIYguru Postgraduate Program in Electric Vehicle & Embedded Systems Engineering

12-Month, Hardware-Enabled, Placement-Oriented Certification | DIYguru + TATA Technologies + Accredited by ASDC & AICTE (NEAT)

Program Overview #

Design, build, and deploy the technologies that power electric mobility. The Executive Postgraduate Program in Electric Vehicle & Embedded Systems Engineering is a 12‑month, industry-aligned pathway that merges EV systems design with embedded software engineering. Delivered by DIYguru in collaboration with TATA Technologies, the program blends live instruction, hands‑on hardware labs, and capstone projects to produce job‑ready engineers for global mobility roles.

Who it’s for: B.Tech/M.Tech engineers, working professionals, and ambitious technicians seeking to transition into high‑growth EV and embedded systems careers across EV design, BMS, power electronics, AUTOSAR, ADAS, charging, and hydrogen fuel cells.

What you’ll gain: System‑level mastery of the EV stack; embedded C and ARM Cortex development skills; MATLAB/Simulink modeling; AUTOSAR and ADAS foundations; and career coaching with real hiring pipelines.

Program Snapshot (At a Glance) #

• Duration: 12 months (blended: Live + Recorded + On‑site Research Labs)
• Workload: 500+ training hours across 50+ modules; 250+ live sessions; lifetime access to recorded modules
• Hands‑on: Home‑delivered DIYguru Embedded Kit (STM32 ARM Cortex), 60+ hours of structured hardware labs, 15+ guided experiments, and 5+ EV projects (HIL/SIL workflow)
• Projects: 15+ industry projects + one supervisor‑led major capstone (EV/Embedded focus)
• Certification: Joint certification by DIYguru + TATA Technologies; accredited by ASDC & AICTE (NEAT)
• Delivery Modes:
  1) On‑site classroom (Mumbai)
  2) Live + recorded + hardware + weekend labs (Pune/Delhi)
  3) Global live + recorded + hardware shipped + workshop immersion
• Career Support: Weekly placement prep + opportunity briefings; portfolio building; mock interviews; access to eMobility.careers and partner hiring drives

Why This Program? (Industry Context & Career ROI) #

The EV transition is re‑architecting vehicles around software and electrified powertrains. OEMs and Tier‑1 suppliers need engineers who can model EV systems, design battery packs, develop embedded controls, implement AUTOSAR, and prototype ADAS functions. This program is built specifically to cultivate those cross‑functional capabilities, pairing systems thinking with hands‑on engineering so you can contribute on day one.

Career outcomes you can target:

• EV Systems / Powertrain Engineer, Battery/BMS Engineer, Motor & Inverter Engineer
• Embedded Systems Engineer (C/ARM), AUTOSAR Engineer, ADAS Engineer
• Charging Infrastructure Specialist, Functional Safety Engineer, Simulation Engineer
• Product Development & R&D Engineer in EV and Mobility Startups

Compounding benefits: You’ll learn how each subsystem (battery, motor, power electronics, ECUs, sensors) fits the whole. That makes you faster in debugging and better at design trade‑offs–skills employers prize in high‑ownership roles.

Learning Philosophy (Hardware + Software + Systems) #

DIYguru focus on learning by doing. Every software concept is paired with a simulated or hardware‑based lab. Every system module culminates in an applied mini‑project. The hardware kit (with STM32 ARM Cortex microcontrollers, CAN transceivers, sensor modules, and power electronics building blocks) anchors your learning: you simulate, code, deploy, measure, and iterate like you would in a real engineering team.

HIL/SIL Flow: You begin with Software‑in‑the‑Loop (SIL) simulation (Proteus/MATLAB), then move to Hardware‑in‑the‑Loop (HIL) tests on the DIYguru kit. This builds a rigorous habit of validating algorithms both virtually and physically, reducing the gap between model and reality.

Detailed Curriculum (12 Months) #

A modular, stackable sequence. Each module ends with a graded lab or project. The final term culminates in a capstone.

Term 1 — EV Foundations & Simulation (Weeks 1-12) #

1) Electric Mobility Primer

• EV vs. HEV vs. PHEV vs. FCEV architectures; EV value chain; component taxonomy
• Safety frameworks; homologation landscape; thermal & electrical hazards
• Market and policy overview; charging ecosystems; cost & range drivers

2) MATLAB/Simulink for EV Systems

• Modeling basics; signal routing; state machines for EV logic
• Powertrain blocksets; battery and motor modeling; regenerative braking models
• Parameter sweeps & sensitivity analysis; test harnesses; report generation

3) EV Powertrain Architecture & Controls

• BLDC, PMSM, and induction motor fundamentals; torque/speed curves
• Inverter topologies; PWM strategies; current/torque control loops
• Regen control logic; traction control concepts; fail‑safe degradation modes

4) Power Electronics for EVs (Intro)

• DC‑DC, DC‑AC converters; rectifiers; gate drivers; snubber and EMI basics
• Si/SiC/GaN devices; thermal derating; PCB layout practice for power stages
• Efficiency mapping and switching loss trade‑offs

Major Lab Cluster A (Term 1)

• Build a simplified EV longitudinal model in Simulink; evaluate range vs. drive cycle
• Design a basic PI speed controller for a PMSM model; compare tuned responses
• Implement a SoC estimator with Coulomb counting + drift correction; validate with noise injections

Term 2 — Battery, BMS & Thermal (Weeks 13-24) #

5) Battery Technology & Pack Engineering

• Li‑ion chemistries (LFP/NMC), energy density and aging; module/pack topology
• Cell characterization (OCV, impedance, coulombic efficiency); pack wiring & fusing
• Thermal plates, heat paths, coolants, and safety interlocks

6) Battery Management Systems (BMS) — Hardware & Algorithms

• Sensor chains (voltage, current, temperature), isolation, ADC/DAC considerations
• Passive/active balancing strategies; hardware design patterns and protections
• SoC/SoH/SoP algorithms (coulomb counting, EKF); fault detection and DTC logging

7) Thermal Management of Batteries & Power Electronics

• Heat generation models; solid‑liquid cooling; phase‑change materials
• CFD concepts for battery cold plates; inverter thermal throttling strategies
• Safety–mitigating thermal runaway; pack venting; standards overview

Major Lab Cluster B (Term 2)

• Design balancing logic for a small 4‑cell pack in simulation; evaluate balancing speed & heat
• Build an SoC/SoH estimation pipeline; validate against synthetic and logged data
• Instrument a thermal simulation of a pack segment and report hotspots with design mitigations

Term 3 — Embedded Systems, AUTOSAR & ADAS (Weeks 25-36) #

8) Embedded C & Microcontrollers (STM32/ARM Cortex)

• Bare‑metal programming vs. HAL; timers, GPIO, interrupts, RTOS primer
• Peripherals for EVs: ADCs for sensors, PWM for motor control, CAN for ECU comms
• Coding style, MISRA C awareness, unit testing & continuous integration concepts

9) Communication Buses & Diagnostics

• CAN/CAN‑FD/LIN fundamentals; UDS services; simple DTC stack on MCU
• Bootloader intro; OTA update concepts; secure firmware principles
• OBD‑II mapping and workshop diagnostics for EV subsystems

10) AUTOSAR Foundations

• Classic vs. Adaptive; BSW layers, RTE, SWCs; configuration workflows
• Communication stack integration; basic IO management; demonstrator projects
• Tooling overview; how AUTOSAR maps into an EV ECU project lifecycle

11) ADAS Fundamentals with MATLAB

• Sensor modalities (camera, radar, LiDAR) and fusion concepts
• Lane/vehicle detection pipelines; tracking filters; collision warning logic
• Rapid prototyping in MATLAB; dataset strategies; performance metrics

Major Lab Cluster C (Term 3)

• Implement a CAN telemetry node on STM32 to publish pack voltage & temps to a PC dashboard
• Build a minimal AUTOSAR‑style layered application (non‑safety) that reacts to sensor inputs
• Prototype a lane‑boundary detection algorithm in MATLAB and evaluate precision/recall on a sample dataset

Term 4 — Charging, Hydrogen, Power Electronics & Capstone (Weeks 37-52) #

12) EV Charging Technologies & Grid Integration

• AC vs. DC fast charging; connectors and protocols; ISO 15118 Plug & Charge
• OCPP concepts for backend management; billing & uptime; cybersecurity hygiene
• Site audits; grid tie‑in; load management; V2G readiness; business models

13) Hydrogen Fuel Cell Systems (Intro)

• Hydrogen value chain; PEM fundamentals; hybridization with batteries
• Balance of plant; safety; onboard storage; use‑cases & constraints
• Control and diagnostic interfaces; integration challenges

14) Power Electronics (Advanced)

• Inverter modulation strategies; FOC for PMSM; field weakening; torque ripple mitigation
• SiC/GaN device selection; thermal interfaces; EMI/EMC testing basics
• Reliability, derating, and protection design for traction inverters

15) Simulation, Verification & Validation

• Test planning; HIL validation strategies; fault injection; robustness checks
• Traceability mindset for functional safety; requirements ↔ tests mapping
• Data logging for fleets; analytics & predictive maintenance patterns

Capstone (12 Weeks)

• Choose one domain: EV Systems, Battery/BMS, Embedded/AUTOSAR, ADAS, or Charging
• Proposal → Design reviews → Milestones → Public defense
• Deliverables: design dossier, simulation results, code repository, testing report, and a short demo

Hands‑On Labs & Hardware (What You Build) #

You will receive a DIYguru Embedded Systems Kit (shipped worldwide) with an ARM STM32 MCU board, sensor/actuator modules, CAN transceiver, power stage accessories, and interface wiring. Labs escalate from blinking a diagnostic LED to running a closed‑loop control task and publishing telemetry over CAN to a PC dashboard or logger. Typical lab themes include:

• Battery Monitoring Node: sense voltage/temperature, apply filtering, and publish CAN frames at fixed rates
• Pack Balancer Controller (Prototype): implement passive balancing logic and fail‑safe timeouts
• Motor Control Primitives: PWM generation, encoder feedback reading, protection interlocks
• Safety Interlocks: emulate LOTO states in firmware; watchdog and brown‑out resets
• Diagnostics: build a minimal UDS‑like command handler for reading sensor maps and clearing mock faults

HIL/SIL Flow You’ll Practice: Model in MATLAB/Proteus → compile Embedded C → flash ARM MCU → instrument behavior → compare with simulation → iterate design. This process mirrors professional EV development pipelines and prepares you for rapid bring‑up on new hardware.

Signature Industry Projects #

1) EV Range & Drive Cycle Optimizer: model longitudinal dynamics; quantify range improvements from gearing, tire, and regen strategies.
2) Battery Health Dashboard: compute SoC/SoH trends from logged data; propose warranty triggers and safety cutbacks.
3) Smart BMS Balancing Policy: simulate active vs. passive balancing; propose thermal constraints and cycle‑life impacts.
4) CAN Telemetry Gateway: build an STM32 gateway that aggregates pack/motor metrics and publishes them to a PC dashboard or cloud endpoint.
5) ADAS Lane & Forward Vehicle Detection: implement a MATLAB vision pipeline; measure F1‑scores on a test dataset; discuss failure modes.
6) V2G‑Ready Charger Concept: requirements spec + backend OCPP mockup; load management for a small depot; cyber hygiene checklist.

Program Outcomes #

• Design EV subsystems (battery, motor/inverter, charging) with a strong grasp of constraints and trade‑offs.
• Write embedded C for STM32/ARM, interact with CAN/LIN, implement safety‑aware logic, and debug using instrumentation.
• Model & simulate EV behaviors in MATLAB/Simulink; bridge to hardware via HIL workflows.
• Communicate in the language of standards (ISO 26262, ISO 15118, IEC 61851, UN 38.3 basics) and collaborate across software-hardware teams.
• Build a professional portfolio of labs and projects aligned to EV roles in OEMs, Tier‑1s, and high‑growth startups.

Career Services & Placement Support #

From the first week, you join a structured placement track: weekly CV/app prep sessions, curated opportunity briefings, closed community channels (WhatsApp/Discord), and mock interview loops. You’ll also get access to the eMobility.careers network, plus introductions to partner hiring drives.

Hiring Outcomes We Target: EV Systems Engineer, Battery/BMS Engineer, Embedded/AUTOSAR Engineer, ADAS/Perception Associate, Power Electronics Associate, Charging/Infra Engineer, Simulation/Validation Engineer, Field Application Engineer, and Product/Program roles in EV startups.

Eligibility & Ideal Background #

• Who should apply: B.Tech/M.Tech (EE, ECE, EEE, ME, Mechatronics, CS), diploma holders with strong fundamentals, and working professionals in automotive/energy/software migrating to EV.
• Entry criteria: Basic programming comfort (C/mathematical thinking), circuit fundamentals, and curiosity about EVs.
• Still unsure? We run a pre‑program foundation bootcamp to level‑set math and embedded basics as needed.

Delivery Modes & Schedule #

• On‑site classroom (Mumbai): immersive, instructor‑led sessions; structured lab hours; peer learning pods.
• Live + recorded + weekend labs (Pune/Delhi): flexible weekday learning, weekend research labs, and faculty office hours.
• Global live + recorded + hardware shipped: join from anywhere; your embedded kit arrives at your doorstep; periodic virtual labs and optional workshop intensives.

Weekly Rhythm: Two to three live classes, one lab block, one industry talk/AMA, and ongoing capstone mentorship as you approach Term 4.

Assessment & Certification #

• How you’re assessed: graded labs, milestone reviews, viva voce, and a final capstone defense.
• Certification: Jointly awarded by DIYguru + TATA Technologies upon successful completion (attendance, lab submissions, capstone).
• Transcripts & Portfolio: consolidated transcript with module grades + a public portfolio page linking to your project reports and repositories.

Tooling Stack You’ll Use #

• Modeling & Simulation: MATLAB/Simulink, Simscape, PLECS (where applicable)
• EDA/Prototyping: Proteus for SIL, vendor tools for MCU bring‑up (STM32CubeIDE), oscilloscopes & logic analyzers in labs
• CAD/CAE (selected modules): SolidWorks (2W EV design), ANSYS (FEA/CFD/thermal exposure)
• Data & Analytics: Python/NumPy/Pandas (for logs), simple dashboards for CAN telemetry
• Collaboration: Git for version control, standard code reviews, structured design documentation

Faculty & Mentors #

You’ll be mentored by a multidisciplinary team spanning EV systems, embedded, battery, and simulation. Faculty include program directors, senior instructors, and industry advisors who have delivered EV products, scaling programs, and research projects across India and abroad.

Admissions Process #

1) Apply: Submit your application and book a DET entrance test/interview slot.
2) Interview: Complete the interview; receive your result (with track recommendations).
3) Enroll: Finish documentation and payment; your embedded kit is prepared for shipment.
4) Onboarding: Join live classes, community channels, and the placement track in Week 1.

Cohort cadence: Rolling cohorts with monthly start dates; limited seats per cohort to preserve mentorship quality.

Fees & Financing #

Multiple fee plans are available depending on delivery mode. Employer sponsorship, EMI, and financing options are available in select regions. Talk to our admissions team for the current fee matrix and scholarships.

Frequently Asked Questions #

1) Is the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering equivalent to a master’s degree?
No. It is an Executive Postgraduate Certification delivered with E&ICT Academy IIT Guwahati. Employers value it for its applied, hardware‑enabled learning and the breadth of EV + embedded coverage. It is not a university degree.

2) What makes the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering different from short online courses?
Depth, duration, and hardware. You get a 12‑month curriculum with home‑delivered embedded kits, 60+ hours of structured labs, 15+ experiments, 5+ hardware projects, and a capstone–plus weekly placement sessions.

3) Who should enroll in the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
B.Tech/M.Tech graduates and working professionals in mechanical, electrical, electronics, mechatronics, and computer science who want to transition into EV design, battery/BMS, embedded, AUTOSAR/ADAS, or charging roles.

4) Does the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering include an embedded kit?
Yes. You receive a DIYguru Embedded Systems Kit (STM32 ARM Cortex) with sensors/actuators and CAN transceiver for HIL labs.

5) How “hands‑on” is the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
Very. Every term includes labs. You implement algorithms, flash MCU firmware, read sensors, publish CAN frames, and validate behavior against your simulations.

6) What projects do students complete in the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
You complete 15+ guided projects and a major capstone. Examples include EV range modeling, BMS balancing, CAN telemetry gateways, ADAS vision prototypes, and V2G‑ready charger concepts.

7) Which standards are taught in the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
You learn the language of EV and software safety and interoperability: ISO 26262, ISO 15118, IEC 61851, and relevant UN/AIS safety references.

8) What tools are covered in the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
MATLAB/Simulink, Simscape, Proteus, STM32CubeIDE, version control with Git, and exposure to ANSYS/SolidWorks where applicable.

9) Does the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering support placements?
Yes. You join a structured placement track from Week 1: weekly CV/interview sessions, curated openings, mock interviews, and access to the eMobility.careers network.

10) What career roles can I target after the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
EV Systems Engineer, Battery/BMS Engineer, Embedded/AUTOSAR Engineer, ADAS Associate, Power Electronics Associate, Charging/Infra Engineer, and Simulation/Validation Engineer.

11) Can the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering help me switch from ICE to EV?
Yes. The curriculum explicitly teaches the EV stack, contrasts it with ICE, and provides hands‑on practice so technicians and engineers can pivot with confidence.

12) Is prior embedded experience necessary for the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
No. We start with Embedded C fundamentals and ramp up to ARM Cortex and CAN; a math/programming mindset helps.

13) How are labs conducted in the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering for remote students?
Your embedded kit is delivered to your home. You attend live lab sessions, follow HIL/SIL guides, and get instructor support and feedback in real time.

14) Is the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering suitable for fresh graduates?
Yes. Freshers gain industry projects, a portfolio, and structured placement prep–ideal for first EV roles.

15) What is the weekly schedule in the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
Typically 2-3 live classes, one lab block, one industry talk/AMA, and ongoing capstone mentorship in later terms.

16) Does the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering include AUTOSAR and ADAS?
Yes. You cover AUTOSAR foundations (BSW, RTE, SWCs) and ADAS prototyping in MATLAB with sensor fusion basics.

17) Will the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering cover power electronics deeply?
You learn both fundamentals and advanced traction‑inverter concepts (modulation, FOC/field weakening, SiC/GaN device trade‑offs).

18) What deliverables are required to earn the certificate in the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
Attendance, graded lab submissions, milestone reviews, and a defended capstone (design dossier, code, tests, and demo).

19) Is mentorship available throughout the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
Yes. Faculty office hours, Discord/WhatsApp channels, and reviewer feedback on labs and capstone milestones.

20) How do I apply to the DIYguru PG Program in Electric Vehicle & Embedded Systems Engineering?
Submit an application, complete the entrance test/interview, finalize enrollment, and receive your onboarding + hardware shipment details.