PG Certification in Data Science & AI/ML for R&D Engineers

The Executive PG Certification Program in Data Science & AI/ML for R&D Engineering Applications is a specialized, 100% live, instructor-led program designed to equip professionals with advanced skills in data science, artificial intelligence (AI), and machine learning (ML). Tailored specifically for R&D engineering contexts, this course focuses on practical applications of AI/ML in solving real-world engineering problems.

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Program Highlights

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This 12-month Executive PG Certification Program is designed specifically for engineering students and professionals, providing comprehensive knowledge and hands-on experience in data science, artificial intelligence, and machine learning (AI/ML) for R&D engineering applications. The program focuses on practical applications of data-driven techniques in the engineering industry, bridging the gap between theory and industry needs. Students will work on real-world projects, develop AI/ML models, and learn how to apply data science to solve complex engineering problems in R&D, predictive maintenance, automation, and system optimization.

Leverage the prestige of IIT Guwahati

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Program certificate and 'Executive Alumni Status' from the E&ICT Academy, IIT Guwahati

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Opportunity to attend a campus immersion program hosted by IIT Guwahati

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150+ Live Sessions Over 12 Months

<li>Engage in interactive sessions led by IIT faculty and industry veterans.</li>

<li>Deep dive into advanced EV design, control systems, and embedded systems.</li>

<li>Flexible scheduling to accommodate working professionals and freshers.</li>

Exclusive, Industry-Aligned Projects

<li>Work on powertrain optimization and battery management systems.</li>

<li>Apply skills through EV simulations using MATLAB and SIMULINK.</li>

<li>Hands-on projects aligned with real-world industry needs.</li>

One-on-One Mentorship </a>

<li>Receive personalized guidance on technical challenges.</li>

<li>Get career advice from seasoned mentors and industry experts.</li>

<li>In-depth support tailored to individual learning needs.</li>

24/7 Learning Support by DIYguru </a>

<li>Access round-the-clock assistance for a smooth learning experience.</li>

<li>Immediate response to academic and technical queries.</li>

<li>Dedicated support team available for continuous guidance.</li>

Learn from IIT Faculty & Industry Experts </a>

<li>Gain insights directly from IIT Guwahati faculty.</li>

<li>Learn from industry professionals with practical experience in EVs.</li>

<li>Bridge the gap between theoretical concepts and real-world applications.</li>

Tailored for Working Professionals and Freshers </a>

<li>Flexible learning pathways to suit diverse needs.</li>

<li>Accommodates the schedules of working professionals.</li>

<li>Offers a comprehensive introduction for freshers entering the EV sector.</li>

Flexible Payment Options with No-Cost EMI </a>

<li>Access quality education with interest-free payment plans.</li>

<li>Ease the financial burden of pursuing advanced studies.</li>

<li>Multiple payment options available for added convenience.</li>

Industry-Recognized EICT - IIT Guwahati Certification </a>

<li>Boost your credentials with a globally recognized certification.</li>

<li>Enhance your career prospects in the EV industry.</li>

<li>Certification recognized by leading industry players and employers.</li>

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Comprehensive Career Services by DIYguru </a>

<li>Resume building and LinkedIn profile optimization.</li>

<li>1:1 mock interviews to prepare for job opportunities.</li>

<li>Dedicated career support to enhance employability.</li>

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Specialized Training from Tadpole Projects & EVI Technology Professionals </a>

<li>24 hours of additional training focused on EV embedded applications.</li>

<li>Hands-on training for EV retrofitment and practical applications.</li>

<li>Gain expertise from industry-leading professionals.</li>

5-Day Campus Immersion at DIYguru COEs developed with L&T Edutech </a>

<li>Experience state-of-the-art labs and facilities.</li>

<li>Network with peers and industry leaders during the program.</li>

<li>Engage in on-campus activities for a deeper learning experience.</li>

Hardware Kit delivered at door-step Worth ₹10,000/ </a>

<li>Receive a kit developed by DIYguru in collaboration with IIT Delhi, Tadpole Projects, and EVI Technologies.</li>

<li>Enhance your learning with practical, hands-on experience.</li>

<li>Tools included for building and testing EV components.</li>

NEAT AICTE & ASDC Accreditation </a>

<li>Accredited by NEAT AICTE and ASDC for high educational standards.</li>

<li>Ensures industry relevance and compliance with technical standards.</li>

<li>Recognized by employers across the EV industry.</li>

Vast Industry Tie-Ups </a>

<li>Leverage DIYguru's extensive network of industry partnerships.</li>

<li>Access opportunities for job placements and industry exposure.</li>

<li>Collaborations with leading automotive and EV manufacturers.</li>

Access to emobility.careers Portal </a>

<li>Leverage DIYguru's extensive network of industry partnerships.</li>

<li>Access opportunities for job placements and industry exposure.</li>

<li>Collaborations with leading automotive and EV manufacturers.</li>

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Admission Closes on 1st Nov

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Days Hours Minutes Seconds

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Get more information

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Career Opportunities

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Key Job Areas

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Job Roles

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Skill Sets

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Companies Hiring

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<li>Automotive Engineering: Apply AI/ML for vehicle design, diagnostics, and autonomous driving.</li>

<li>Aerospace Engineering: Use AI/ML to optimize flight operations, maintenance, and simulations.</li>

<li>Electrical & Electronics Engineering: Enhance circuit design and electrical systems with AI-driven solutions.</li>

<li>Control Systems: Implement AI for automated control and process optimization.</li>

<li>Renewable Energy: Optimize energy generation and distribution using data science models.</li>

<li>Robotics and Automation: Design and control robotic systems using machine learning algorithms.</li>

<li>IoT Systems Engineering: Develop intelligent IoT devices with embedded AI for smart data processing.</li>

<li>Manufacturing & Industry 4.0: Use predictive analytics for smart factories and automated quality control.</li>

<li>Energy Systems: Model and predict energy consumption for improved efficiency and sustainability.</li>

<li>Smart Cities: Apply data science for urban planning, traffic management, and energy distribution.</li>

<li>Telecommunications: Use AI/ML to optimize network performance, capacity planning, and fault management.</li>

<li>Biomedical Engineering: Implement machine learning in medical diagnostics, imaging, and device development.</li>

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<li>Data Scientist: Extract insights from data and build predictive models for engineering applications.</li>

<li>AI/ML Engineer: Design and implement AI/ML algorithms to solve complex engineering problems.</li>

<li>R&D Engineer: Use data science and AI/ML to innovate and enhance R&D processes.</li>

<li>Predictive Maintenance Engineer: Develop AI/ML models to predict and prevent equipment failure.</li>

<li>Control Systems Engineer: Apply data-driven control strategies for automated industrial systems.</li>

<li>Data Engineer: Build data pipelines and manage large-scale datasets for engineering analysis.</li>

<li>Big Data Analyst: Analyze large volumes of engineering data using big data tools and frameworks.</li>

<li>Machine Learning Researcher: Conduct research on new AI/ML algorithms for engineering advancements.</li>

<li>Robotics Engineer: Integrate AI/ML into robotics for smarter, more efficient automation solutions.</li>

<li>IoT Engineer: Develop intelligent, AI-enabled IoT systems for industrial and engineering applications.</li>

<li>Data Analyst: Analyze engineering datasets to generate actionable insights and predictions.</li>

<li>Deep Learning Engineer: Design and deploy deep learning models for tasks such as image processing or speech recognition in engineering contexts.</li>

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<li>Python Programming: Proficiency in Python for data manipulation, modeling, and AI/ML applications.</li>

<li>Data Wrangling & Cleaning: Expertise in cleaning, processing, and preparing datasets for analysis.</li>

<li>Machine Learning Algorithms: Knowledge of algorithms like decision trees, regression, and clustering for predictive modeling.</li>

<li>Statistical Analysis: Ability to perform statistical tests, analyze data, and draw meaningful conclusions.</li>

<li>Time Series Forecasting: Skills in building time series models for predicting trends and seasonality in data.</li>

<li>Neural Networks: Understanding of deep learning and neural networks for advanced AI applications.</li>

<li>Data Visualization: Creating visual representations of data to communicate insights effectively.</li>

<li>Big Data Tools (Hadoop, Spark): Working with large datasets and distributed computing frameworks.</li>

<li>Predictive Maintenance: Implementing models to predict equipment failure and optimize maintenance schedules.</li>

<li>Feature Engineering: Identifying and engineering features to improve machine learning model accuracy.</li>

<li>Control Systems & AI: Applying AI in control systems for real-time decision making and automation.</li>

<li>Deep Learning: Utilizing neural networks for advanced machine learning tasks like image and speech recognition.</li>

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<li>Automotive: Tata Motors, Mahindra, Maruti Suzuki, Bosch</li>

<li>Aerospace: DRDO, HAL, Airbus India</li>

<li>Electronics: Samsung R&D, Intel, Texas Instruments, Qualcomm</li>

<li>Energy: NTPC, Reliance Power, Siemens Energy, Tata Power</li>

<li>Manufacturing: L&T, BHEL, Honeywell, GE India</li>

<li>Telecommunications: Airtel, Jio, Nokia, Ericsson</li>

<li>IoT & AI: Wipro, Infosys, TCS, Cognizant</li>

<li>Healthcare/Biomedical: Philips India, Medtronic, Siemens Healthineers</li>