Frequently Asked Questions

The automotive industry is undergoing a massive transformation. By 2035, cars will be more connected, autonomous, shared, and electric. And this opportunity to transform the way we move results from emissions, congestion, and safety issues mounting worldwide. Above all, the global automotive industry is attempting to decarbonize the planet.

However, as the auto industry evolves, it will also broadly impact the job roles and functions of professionals within the industry. To stay in sync with this switch to eMobility, professionals need an in-depth understanding of the design, analysis, and development of automated, hybrid, and electric vehicles.

The Advanced Certification in Automated & Electric Vehicles Program by Nexus at Michigan Engineering will help you build the required expertise and gear up to navigate the future of mobility.

Electric vehicles (EVs) have been making headlines in the last few years. But it is only now that they have attracted interest, innovation, and investments. While the sector’s growth is picking up, another pivotal aspect that needs immediate attention is talent and capabilities.

Considering the growing demand for EVs, organizations need professionals savvy in designing and functioning of EVs and automated vehicles. Although the automotive sector has a sizeable talent, most lack the niche expertise and understanding needed for automated and electric mobility.

To help professionals leverage the growth and opportunities, Nexus at Michigan Engineering, in partnership with TalentSprint, has launched the Advanced Certification in Automated & Electric Vehicles Program. A uniquely designed hands-on program that enables industry professionals to stay relevant in this fast-evolving automotive industry.

The University of Michigan is at the forefront of promoting mobility transformation. Its key zones - Mcity, Michigan Mobility Transformation Center, and other initiatives created in collaboration with industry and government have made the university a ‘Mobility Mecca’. U-M’s constant endeavor and initiatives to work on mobility-related challenges make it one of the most trusted and sought-after institutions in the world for learners.

This is a LIVE and interactive online program with the potential to strengthen your fundamentals, inform new industry developments, and bridge the knowledge gap. Participants attending this program can benefit from the following.

Nexus at Michigan Engineering Advantage

  • Designed leveraging cutting-edge mobility research and innovation efforts by the institution
  • Taught by an expert group of acknowledged practitioners and research scientists from the Michigan Institute of Computational Discovery and Engineering
  • Globally recognized certificate from Nexus at Michigan Engineering

Transformative Pedagogy

  • Cohort-based effective learning with an illustrious global peer group
  • Faculty-driven LIVE Sessions by accomplished U-M Faculty + Self Learning
  • Experiential learning supported by expert mentorship, hands-on delivery format, assessments, and capstones

Career Impact

  • Showcase your expertise through projects and experiments
  • Network with an illustrious group of current and future mobility leaders
  • Upgrade your technical profile with a top certification

TalentSprint Advantage

  • Learn on TalentSprint’s patent-pending Digital Platform
  • Network with 3000+ TalentSprint Deep Tech Alumni
  • Access TalentSprint Career Accelerator

  • Be at the forefront of EV Mobility solutions in your organization
  • Advance your career in the fast-evolving mobility industry
  • Globally recognized certification from Nexus at the University of Michigan Engineering
  • Deep dive into the major aspects of electric vehicles—fundamentals, trends, and technology outlook of mobility
  • Advance your understanding of the design, analysis, and development of hybrid and electric vehicles
  • Get introduced to the global cutting-edge R&D projects on connected and automated vehicles

The program will be taught by a group of industry practitioners and research scientists from the Michigan Institute of Computational Discovery and Engineering.

Meet the faculty here

  • Minimum Qualification: B.E/B.Tech/M.E/M.Tech or equivalent degree with a minimum 50% marks
  • Experience: Minimum of 2 years of professional experience.
  • Field of Experience: Professionals from mechanical, electrical engineering, or allied areas will be preferred.

  • Professionals in the automated and EV industry looking to master the latest advancements to tap into global opportunities
  • Auto professionals interested in transitioning into e-mobility
  • Mechanical/Electrical Engineers and Automotive Technicians who want to work on automated/electric mobility solutions
  • Auto enthusiasts passionate about designing alternate models that will considerably reduce carbon footprints

The program will be delivered in an interactive online format, retaining effectiveness while maintaining safety. The format uniquely combines the benefits of an in-class program with the flexibility and safety of online learning.

Benefits of in-class delivery

  • Synchronous, interactive learnings from expert faculty
  • Interact and get your doubts answered by faculty
  • Peer learning through working in groups with other participants
  • Support from mentors for labs and experiments

Flexibility and additional value of online learning

  • Re-attend classes through recorded archives
  • Access videos easily with searchable and indexed video archives
  • Learn from the comfort and safety of your home
  • Learn one-on-one from mentors through office hours
    The program will be delivered on TalentSprint's patent-pending iPearl.ai, a leading digital learning platform of choice used for programs delivered by the likes of Google, IIM Calcutta, IIT Hyderabad, IISc, and IIT Kanpur, to name a few.

This is an expertise-building program for experienced professionals. You will obtain a certification from Nexus at Michigan Engineering.

A certificate of successful completion is provided upon meeting all program requirements. Nexus at Michigan Engineering will carry out all examinations and evaluations related to the certification.

The program format with LIVE Interactive Sessions, assessments, capstones, and self-learning content enables a conducive environment to network with your peers in the cohort. Most participants can continue to network even after the cohort by using the alumni portal.

All participants must execute, before the start of the program, an agreement that consists of the standard program Terms and Conditions. It has the following components:

  • Part A: Etiquette and Platform Rights
    • Classroom Etiquette & General Policy Guidelines
    • Tools and Platforms in Use
    • Tools and Platforms: Terms of Use
  • Part B: Honor Code
  • Part C: Certification
  • Part D: Programme Fee, Refund, and Termination Policy

Eligibility and Selection Process

Nexus at Michigan Engineering, conducts the selection process for the program. Candidates will be selected based on the details of their education, work experience, and a statement of purpose submitted by them along with the application.

Apply for the Program Submit Documents** Selection by Nexus Committee* Join the Program

A dedicated Relationship Manager will assist you throughout the enrolment process-

*Selection for the program will be done by Nexus at Michigan Engineering and is strictly based on the education, work experience, and motivation of the participants.

**Scanned copies to be submitted within 7 days
1. Education Certificate
2. Experience Letter/Latest Pay Slip

Programme Content

The state-of-the-art curriculum is designed by world-renowned experts.


Module 1: Hybrid and Electric Vehicles

  1. Electric Energy Storage
    • Basic Battery Concepts Part 1
    • More Basic Concepts Part 2
    • Factors Affecting Battery Performance
    • Introduction to Li-ion Batteries
    • Degradation Mechanisms in Li-ion Batteries
    • Advanced Devices for High Energy and High Power: Li-air Batteries and Ultracapacitors
  2. Hybrid Vehicle Technologies
    • Overview and Introduction
    • Impacts on Auto Industry and Current Status
    • Major Hybrid Technologies
    • Major Components - Principle, Current Status, Outlook
    • Vehicle Control Hierarchy and Power Management Algorithms
    • Control and Design of Power-Split Hybrid Electric Vehicles
    • Summary and Outlook
  3. Battery Management and Safety
    • Overview Parts 1-3
    • Equivalent Circuit Models for the Lithium-ion Battery
    • 1+1D Electrochemical Model
    • Battery Thermal Modeling
    • Data Collection and Model Parameterization
    • Vehicle Energy Management Functions
    • State of Charge (SOC) Estimation
    • Battery Cell Balancing
    • Battery Charging Standards and Algorithms
    • Power Limits, Cold Temperature Performance
    • Lithium-ion Battery Safety Issues
    • Battery Aging
  4. Electric Machines
    • Introduction and Electric Machinery Fundamentals
    • Power Electronic Fundamentals
    • Fundamentals of Control
    • DC Machines
    • DC Machines Drives
    • AC Machines I
    • AC Machines II
    • Surface Mount Permanent Magnet Machines
    • Surface Mount Permanent Magnet Machine Drives
    • Reluctance Machines
    • Interior Permanent Magnet Machines
    • Induction Machines
    • Induction Machine Drives

Module 2: Connected and Automated Vehicles

  1. Adversarial Machine Learning
    • Introduction
    • Adversarial Machine Learning Overview
    • Adversarial Attacks on Machine Learning Models
    • Physical Attacks on Machine Learning Models
    • Short Intro to (Non-Adversarial) Machine Learning
    • Types of Machine Learning Problems: Regression and Classification
    • Linear Regression: Training and Loss
    • Linear Regression: Model Fitting Using Gradient Descent
    • Classification
    • Neural Networks
    • Adversarial Attacks on Neural Networks
    • Advanced Attacks
    • Physical-World Adversarial Attacks
    • Defenses: Making Models Robust Against Adversarial Attacks on Neural Networks
  2. Dynamics and Control of Connected Vehicles
    • Human Driving Behavior (Without Reaction Time) - Part 1
    • Human Driving Behavior (Without Reaction Time) - Part 2
    • Human Driving Behavior (With Reaction Time Delay)
    • Vehicle Dynamics and Automation - Part 1
    • Adding Connectivity to Automated Vehicles - Part 2
    • Connected Vehicle Networks
    • Safety, Energy Efficiency, and Robustness
    • Experiments with Connected and Automated Vehicles - Part 1
    • Vehicle Dynamics and Automation - Part 2
    • Adding Connectivity to Automated Vehicles - Part 1
    • Experiments with Connected and Automated Vehicles - Part 2
  3. Fundamentals of Connected and Automated Vehicles
    • Connected Vehicles: What? Why? How?
    • Deep Dive into Dedicated Short Range Communications (DSRC)
    • Why Automated Vehicles (AV)? & SAE AV Levels and Examples
    • Current Status and Challenges
    • AV Testing, Standards, and Regulations: Part 1
    • AV Testing, Standards, and Regulations: Part 2
    • A Major Bottleneck: Perception, Main Tools: Machine Vision and Artificial Intelligence
  4. Social and Behavioral Implications of Autonomous Vehicles and Services
    • Introduction and Understanding the Total Impact
    • The Potential for Behavioral Changes
    • Serving Those with Existing Mobility Limitations and Mobility Equity
    • Changes in Operator Knowledge and Understanding
    • Safety Consideration with Vehicle Automation
    • Seamless Integrated Mobility Systems and Challenges in Establishing One

Module 3: Mobility Behaviour and Technology / Foundations of Mobility

  1. Health and Safety in Mobility
    • Introduction: Occupant Safety/Injury Biomechanics
    • Epidemiology: Crash Data Statistics
    • Injury Biomechanics I
    • Injury Biomechanics II
    • Occupant Protection
    • Special Population of Occupants
      1. Child Passengers
      2. Obese Occupants
      3. Pedestrians/Cyclists
      4. Older Drivers
      5. Young Drivers (Teens)
      6. People with Disabilities: Mobility Impairments
      7. People with Disabilities: ADA Requirements, Public Transportation and Barrier
      8. Behavior/Social Factors
      9. Cognitive Impairments and Dementia
      10. Visual-Blind
    • Automated Vehicles and Future Safety
      1. Occupant Protection
      2. Driver Assistance Systems
      3. DSM
      4. Motion Sickness
  2. Introduction to Mobility and the Environment
    • Introduction – Module Overview and Key Concepts
    • Travel Demand
    • New Mobility Systems and the Future of Travel Demand
    • Transportation Energy Use
    • Transportation and Global Climate Change
    • Transportation and Air Quality
    • Motor Vehicle Emissions Control Systems
    • Progress and Challenges in Motor Vehicle Emissions Control
    • Vehicle Efficiency – Light-Duty Vehicles
    • Vehicle Efficiency – Medium- and Heavy-Duty Vehicles
    • Renewable Fuels
    • Electric Vehicle Technologies
    • How Do Plug-In Hybrid Electric Cars Work?
    • Electric Vehicle Energy and Emission Impacts
    • Air Travel and the Environment
    • Toward Sustainable Mobility – Module Summary and Synthesis
  3. Mobility and Technology
    • Introduction to Smart Transportation Systems
    • Connected Vehicle (CV) Technologies
      1. Communication Technology and Protocols
      2. CV Data Standards
      3. CV Applications
    • Automated Vehicle (AV) Technology
      1. AV sensing, planning, and control
      2. AV testing and evaluation
      3. Cyber security and privacy with CAV
    • Road Infrastructure Technologies
      1. Traffic Management Technologies
      2. Traffic Modeling and Simulation
      3. Traffic management with CAVs
    • Mobility Service Technologies
      1. Map Services I: Map Matching, Route Planning, Estimated Time of Arrival (ETA)
      2. Map Services II: Traffic Estimation, Traffic Forecast
      3. Decision-Making Services: Dispatching
    • Summary
  4. Information and Data in Mobility
    • Basic Concepts
    • Roadway Safety Planning Use Case #1
    • Models and Prediction
    • Roadway Safety Planning Use Case #2
    • Sampling and Bias
    • Transit Planning
    • Automotive Engineering
    • Data Sources
    • Environmental Protection Agency
    • Analysis Goals and Equity Concepts
    • City Planning
    • Classical Statistical and Machine Learning
    • Automotive Engineering
    • Wrapping Up

Capstone Project

  • Projects from Nexus at Michigan Engineering
  • Mentoring by TalentSprint with support from Nexus at Michigan Engineering
  • Project presentation to Nexus at Michigan Engineering faculty

Schedule and Details

The program starts in March 2023

It is a six months executive program.

The program will be delivered through faculty-led interactive live sessions on TalentSprint’s ipearl.ai. These online sessions will be held at a schedule convenient for working professionals. Participants will be able to interact with the faculty through video, audio, and chat. They will also be able to chat with fellow program participants during online sessions.

As per the program norms, participants have to maintain at least 75% of attendance during the program. Going by the curriculum, it is recommended that participants maintain attendance for enriched learning. In unavoidable circumstances, if any, one can access the recorded lectures on our platform to cover up for the missed sessions.

The program includes continuous formative and summative assessments. The final scores will be determined based on the sum of the scores of various assessments.

Yes, participants are required to have their laptops.

Reading material (pre/post session) will be shared regularly through the Online Learning Management System. The access will be available for 1 year from the date of the commencement of the program.

A certificate of successful completion is provided upon completion of all requirements of the program. All examinations and evaluations related to the certification are carried out by Nexus at Michigan Engineering.

Program Fee

For program fee-related details, please visit here

Yes, you can avail flexible EMI options to pay the program fee in installments. Please reach out to your RM to know about the details of the schemes available.

For scholarship-related details, please visit fee page. You can also reach out to your RM for more details.

No, the application fee is non-refundable.

No. The program fee is non-refundable and non-transferable under any circumstances.

Professionals have multiple options for funding.

  • Sponsored by employer
  • Self-funded: Based on our experience of enabling 3000+ professionals who have participated in our executive programs, self-funding is the most preferred option, with over 80% choosing this. Three key reasons why professionals opt for it:
    • Freedom: To opt for a program of their choice at a time of their choice, with an institution of their choice and not be restrained by the organization’s policy.
    • Flexibility: To pursue greater career opportunities well even beyond their current employer or to nurture their entrepreneurial ambitions.
    • Funding: Access to flexible EMI schemes (paying as low as Rs. 5,550 per lac per month).

    We have also observed that the commitment levels are higher among self-funding participants.

Others

#3*
Top Public University in U.S (2022)
*U.S. News & World Report 2022-23

#25**
Ranked among Public universities in the World (2023)
**QS World University Rankings 2023

502
New Innovations Reported (2021)

640K+
Global Alumni Network

Michigan University is one of the earliest American research universities and a founding member of the Association of American Universities. As a major research center, it is ranked 2nd among American universities in research expenditures and produces a large proportion of the country's publications and citations. It has been consistently ranked among the top universities in the United States by college and university rankings. In international comparison, the university occupies top rankings and enjoys a distinguished academic reputation. It has produced Nobel Prize laureates, Turing Award laureates, and Abel Prize, laureates. To know more, visit the U-M site.

Nexus, University of Michigan Engineering
Leader in online graduate engineering education.

The Advanced Certification in Automated & Electric Vehicles will be delivered by Nexus, U-M. Nexus encourages continuing education through its professional programs designed in support with the University of Michigan College of Engineering. To explore, visit the Nexus website.

Established in 2010, TalentSprint is a part of the NSE group and a global edtech company that brings transformational high-end and deep-tech learning programs to young and experienced professionals. The company’s digital learning platform, ipearl.ai, offers a hybrid onsite/online experience to seekers of deep technology expertise. TalentSprint partners with top academic institutions and global corporations to create and deliver world-class programs, certifications, and outcomes. Its programs have consistently seen a high engagement rate and customer delight. It is a leading Innovation Partner for the National Skill Development Corporation, an arm of the Ministry of Skill Development and Entrepreneurship, Government of India. A recipient of various prestigious accolades, TalentSprint was recently honored with the Indian Achievers Award 2022 for its excellence in building deeptech talent in India. For more information about TalentSprint, visit the TalentSprint website.