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DIYguru Instructor led LIVE Sessions

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DIYguru Instructor led LIVE Sessions

DIYguru regular classroom session access

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Startup
Thus the course is for the DIYguru Nanodegree program, in order to provide them the access to the classroom session lecture. Since Live recording is not suitable for online batch students, instructors of DIYguru record separate sessions on the modules taught in the classroom program. With each classroom session, DIYguru conducts separate LIVE doubt sessions, where students in the online batch can interact with the instructor directly and seek solution of their queries based on the classroom lecture. Once every week, the doubt session is held as a LIVE session, and that recording will also be uploaded in this course structure. The doubt session timings shall be shared with students over their respective groups.

Course Curriculum

    • Mechanical Files 00:00:00
    • Lecture 1: Fundamental of chassis 00:45:00
    • Lecture 2: Brakes 00:37:00
    • Lecture 3 & 4 01:02:00
    • Lecture 5: Aerodynamics: 2022:07:09 00:43:00
    • Lecture 6: Steering 00:55:00
    • Assignment 1,2 &3: 00:00:00
    • Lecture 1: What are EVs? 02:11:00
    • Lecture 2: Electric vehicle industries: 2022:06:18 02:50:00
    • Lecture 3: Fundamental of physics for EV 02:09:00
    • Lecture 4: Motors Part 1: 2022:07:20 01:00:00
    • Lecture 6: Introduction to EV model designing with MATLAB: Project 1 – Buck Converter: 2022:07:20 01:00:00
    • EV Doubt class 1: 2022:07:21 00:37:00
    • Lecture 7: Motor Part II: 2022:07:23 01:40:00
    • Lecture 8: Motors Part III 03:20:00
    • Lecture 9: Battery: 2022:08:03 02:05:00
    • Lecture 10: Battery parameters: 2022:08:17 01:18:00
    • Lecture 11: Motor control: 2022:08:24 02:10:00
    • Lecture 12: Battery Characterization: 2022:08:31 01:12:00
    • Electrical Assignment 1 3 days
    • Electrical Assignment 2 3 days
    • Electrical assignment 3 00:00:00
    • Electrical assignment 4 00:00:00
    • Electrical assignment 5 00:00:00
    • Technical Files & Presentations: Electrical lectures 00:00:00
    • Lecture 1: Starting the world of Python and Data analytics 01:31:00
    • Lecture 2: Python Basics 01:39:00
    • Lecture 3: Statements, expressions and basic operators 01:35:00
    • Lecture 4: Conditional operators, Boolean and statements: 01:40:00
    • Lecture 5: Functions 01:45:00
    • Lecture 6: Iterations 01:35:00
    • Lecture 7: Loops and Strings 01:46:00
    • Lecture 8: Strings: 2022:08:06 01:36:00
    • Lecture 9: Strings & Files: 2022:08:28 01:11:00
    • python assignment 1 5 days
    • python assignment 2 5 days
    • Python assignment 3 5 days
    • Lecture 1: Introduction to Electric Vehicles: 2022:07:03 01:50:00
    • Lecture 2: Business opportunities in EV: 2022:07:06 01:55:00
    • Lecture 3: EV Retrofitting – Micro mobility: 2022:07:30 01:35:00
    • Starting with EV as product – 2022:07:10 00:00:00
    • EV Workshop: EV 2 wheeler assembly de-assembly: 18:07:2022 04:14:00
    • EV R&D Lecture II: 2022:07:23 01:10:00
    • EV R&D Lecture III: 2022:07:31 02:09:00
    • EV R&D: Lecture IV 02:40:00
    • EV R&D: Lecture V 02:40:00
    • Technical files and assignments 00:00:00
    • EV Battery Cells: 2022:05:29 01:41:00
    • Battery & BMS with MATLAB modelling: 2022:07:24 01:37:00
    • EV Chargers: 2022:07:28 01:37:00
    • EV MATLAB TOOLBOX: Advanced Vehicle simulator: 2022:08:07 00:55:00
    • Introduction & Basics : 2022:06:05 01:05:00
    • ANSYS Transient Analysis: 2022:0619 01:08:00
    • ANSYS: Understanding Harmonics. 2022:07:03 02:18:00
    • ANSYS Harmonic response: 2022:07:09 01:10:00
    • ANSYS: Understanding strain and deformation 02:04:00
    • Project 1: Buck & boost converter designing and simulation 00:26:00
    • Project II: DC Motor designing and simulation: 2022:07:23 00:50:00
    • Project III: MATLAB – Induction motor 00:33:00
    • Project IV: MATLAB model for vehicle characteristics 00:48:00
    • Project V: Inverters: 2022:08:31 00:45:00
    • Chemistry of batteries 01:10:00
    • BMS and thermal issues 00:46:00
    • Battery losses 00:43:00
    • Electric Vehicle Retrofitting in India Opportunities & Current Scenario 01:20:00
    • EV Charging station Business setup: Case study 00:59:00
    • SOLIDWORKS: Lecture 1: 2022:08:06 02:08:00
    • SOLIDWORKS files 00:00:00
    • SOLIDWORKS: Lecture 2: 2022:08:13 03:30:00
    • SOLIDWORKS: Lecture 3: 2022:08:20 03:32:00
    • SOLIDWORKS: Lecture 4: 2022:08:27 02:13:00
    • MATLAB Basics: Lecture 1: 2022:08:28 01:05:00
    • 00:00:00
    • EV Business: Lecture 1: 2022:08:01 01:50:00
    • EV Business: Lecture 2: 2022:08:03 00:02:15
    • EV business & automotive: Lecture 3: 2022:08:11 02:13:00
    • Lecture 4: EV Business & automotive: 2022:08:12 02:05:00
    • Lecture 5: EV Business and Automotive 02:11:00
    • Lecture 6: EV Automotive: LeSoft 02:13:00
    • https://drive.google.com/drive/folders/1iHcidaiLgLtBUAy8YwEpZiId_M4VIi7P?usp=sharing
    • Lecture 7: EV Automotive: 2022:08:31 02:56:00
    • Lecture 8: EV Automotive: 2022:09:02 02:40:00
    • Lecture 9: EV Automotive Suspension: 2022:09:07 01:54:00
    • SOLIDOWRKS Lecture 5: 2022:09:03 FREE 03:10:00
    • SOLIDWORKS Assignment 1 00:00:00
    • SOLIDWORKS Lecture 6: 2022:09:10 02:13:00
    • SOLIDWORKS Lecture 7: 2022:09:17 03:11:00
    • SOLIDWORKS Lecture 8: 2022:09:24 03:22:00
    • SOLDIWORKS Lecture 9: 2022:10:01 02:30:00
    • SOLIDWORKS: Lecture 10: 2022:10:08 02:16:00
    • Python Assignment 4 00:00:00
    • Python Assignment 5 00:00:00
    • Python general discussion: 2022:09:03 01:40:00
    • Python assignment 6 00:00:00
    • Lecture 11: Files & lists: 2022:09:12 01:13:00
    • Lecture 12: List: 2022:10:03 02:00:00
    • Python Assignment 00:00:00
    • Python Assignment 8 00:00:00
    • Python Assignment 9 00:00:00
    • Python assignment: Conditional Statements 00:00:00
    • Python assignment 11: While loops 00:00:00
    • Python Assignment 12: Lists 00:00:00
    • Python Assignment 13: Conditional statements II 00:00:00
    • Lecture: Python Analytics: Numpy: 2022:11:04 01:30:00
    • NumPy Practice 00:00:00
    • Python Numpy Part II: 2022:11:14 01:33:00
    • Python Numpy Part III: 2022:11:18 01:16:00
    • Analytics Pandas Part 1: 2202:11:23 01:17:00
    • Analytics Pandas Part II: 2022:12:03 01:16:00
    • Python Pandas Part IV: 2022:12:10 01:16:00
    • Lecture 13: Project based Electrical: 2022:09:07 01:40:00
    • Lecture 14: EV Project presentation: 2022:09:14 00:58:00
    • Lecture 15: EV project discussion: 2022:09:21 01:42:00
    • Lecture 16: EV Project discussion: 2022:10:05 01:08:00
    • Lecture 17: Project discsussion: 2022:10:12 01:14:00
    • EV R&D Lecture VI: 2022:09:11 01:02:00
    • EV R&D Lecture VII: 2022:09:25 00:49:00
    • EV R&D: Lecture VIII: 2022:10:02 01:14:00
    • Project VI: Battery pack: 2022:09:14 01:16:00
    • Project VII: QSS BEV Model: 2022:09:21 01:34:00
    • MATLAB Project VIII: Photovoltaic power control using MPPT Algorithm: 2022:10:14 01:58:00
    • MATLAB Project IX: Implementation of SOLAR Chargers using MATLAB 01:04:00
    • MATLAB Project X: Powertrain Modelling 01:17:00
    • MATLAB Project XI: Battery Management System 00:53:00
    • MATLAB Project XII: Motor controller design using MATLAB 00:36:00
    • Project contd.: Motor controller design using MATLAB 00:46:00
    • ANSYS Lecture 1: 2022:09:25 02:01:00
    • ANSYS Lecture 2: 2022:10:02 01:07:00
    • ANSYS Lecture 3: 2022:10:16 01:16:00
    • ANSYS Lecture: 2022:11:05 00:46:00
    • ANSYS Lecture: 2022:11:12 01:15:00
    • ANSYS Lecture: 2022:11:20 00:56:00
    • ANSYS Lecture: 2022:12:04 01:52:00
    • ANSYS Lecture: 2022:12:11 01:09:00
    • ANSYS Lecture: 2022:12:18 01:22:00
    • MATLAB Lecture 1: 2022:09:24 01:46:00
    • MATLAB Lecture 2: 2022:10:01 00:41:00
    • MATLAB Lecture 3: 2022:10:08 01:36:00
    • MATLAB Lecture 4: 2022:10:15 01:46:00
    • MATLAB Lecture: 2022:10:22 01:35:00
    • MATLAB Lecture: 2022:11:12 01:34:00
    • MATLAB Lecture: 2022:11:19 01:02:00
    • MATLAB Lecture: 2022:12:03 01:19:00
    • MATLAB Lecture: 2022:12:11 01:11:00
    • MATLAB Lecture: 2022:12:18 01:18:00
    • Linux Training: Lecture 1: 2022:10:15 01:02:00
    • Linux Training: Lecture 2: 2022:10:22 01:15:00
    • Linux Lecture: 2022:11:05 01:07:00
    • LINUX Lecture: 2022:11:12 01:07:00
    • EV Testing & Homologation Lecture 1: 2022:11:26 02:05:00
    • EV Testing & Homologation Lecture II: 2022:11:27 01:55:00
    • Testing & homologation Lecture III: 2022:12:06 01:39:00
    • EV Retrofitting: 2022:12:16 01:28:00
    • ANSYS Lecture: 2022:12:31 01:37:00
    • MATLAB Certification Lecture: 2022:12:30 00:58:00
    • MATLAB Certification: 2023:01:07 00:53:00
    • ANSYS Lecture: 2023:01:10 01:17:00
    • MATLAB Lecture: 2023:01:14 01:08:00
    • ANSYS Lecture: 2023:01:15 01:30:00
    • MATLAB Lecture: 2023:01:21 01:13:00
    • ANSYS Lecture: 2023:01:22 01:07:00
    • MATLAB Lecture: 2023:01:28 01:15:00
    • ANSYS Lecture: 2023:01:29 01:29:00
    • EV Research & development Lecture: 2023:01:29 00:56:00
    • EV MATLAB Project: 2023:01:30 00:36:00
    • ANSYS Lectures: 2023:02:12 01:41:00
    • MATLAB Project: 2023:02:16 00:55:00
    • ANSYS Lecture: 2023:02:19 01:08:00

Glimpses of Hardware Enabled Programs at DIYguru Centers of Excellence

Our Branch Offices

Delhi

374, MG Road, Delhi - 110030

Mumbai

5th floor, Ark-7, Near Prabhat Plaza, Station Road, Thane (West) – 400601

Pune

DIYguru COE, Ajeenkya DY Patil University, Lohegaon District, Pune – 412105

Bangalore

DIYguru (KIUS), Hosur Main Road, Hombegowda Nagar, Bengaluru – 560029

Malaysia

No 06-01 Jalan Padan Ria 4, Pusat Perdagangan Padan, 81100 Johar Bahru

Bangladesh

DIYguru, Vroom Services Limited, Level 6, Plot 10, Road 12, Block F, Niketan, Gulshan, Dhaka 1212.

Nepal

DIYguru, Abhiyantriki Karmashala Pvt. Ltd. ward No. 06, Dadhikot, Suryabinayak, Bhaktapur, Nepal

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Spend less time worrying about job availability, and more time growing your knowledge. Join DIYguru Program today.

If you’re a current student, please get in touch through the DIYguru dashboard to ask about more details of this Program.

Please note, eligibility for DIYguru course is reserved to students who have done related projects and have relevant profiles matching with the pre-requisite of this course.

Our 7-day money-back guarantee starts from the moment of signup and runs through the free week. Cancellations between days 7 and 30 will get a prorated refund.

Fees for the program is charged only when the admission is approved.

DIYguru is India’s largest Hardware Enabled upskilling platform for learners benefiting more than 85,000+ DIY enthusiasts across 400+ institutions through online courses and DIY KITS, imparting hands-on training to acquire industry relevant skills.

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374, MG Road, South Delhi,

New Delhi (IN)- 110030

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Professionals from 70+ Companies use DIYguru Platform for Upskilling. An ISO 9001:2015 Certified Company with CIN No. - U80904DL2017PTC323529 Registered with Department of Industrial Policy & Promotion - DIPP9213

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