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File Name: | Frontend Machine Coding Preparation |
Content Source: | https://www.udemy.com/course/frontend-machine-coding/ |
Genre / Category: | Programming |
File Size : | 6.4 GB |
Publisher: | udemy |
Updated and Published: | February 03, 2024 |
- Gain a deep understanding of fundamental React Js concepts and their applications in machine coding interviews.
- Develop hands-on coding skills through a series of practical exercises and projects.
- Be interview-ready by solving actual problems asked in frontend rounds of Oracle, Oyo, JustDial, Swiggy, Volkswagen, Cars24, PhonePe, Zepto, Paytm, Razorpay, Gojek, etc
- Improve logic buildings by developing small apps like a star rating system, dynamic progress bar, infinite page scroll, dynamic search optimization , pagination system, dynamic image slider, calculator, stopwatch, password generator app, etc by following industry standard coding practices
- Learn advanced React Js techniques and best practices used in machine coding scenarios.
- Dive into real-world coding challenges that mimic interview scenarios, preparing you for what to expect.
- Curated specially for Frontend developers looking for a new job or job switch to top product MNCs.
- Expert guidance and support throughout the course.
- All code access will be provided
- Certificate of completion at the end of the course.
- Lifetime course access
- Telegram community for doubt support and 1:1 interaction
- A job-ready resume template will be provided
This course is a one-stop solution for all the important machine coding questions asked in startup and product-based companies.
DOWNLOAD LINK: Frontend Machine Coding Preparation
Frontend_Machine_Coding_Preparation.part1.rar – 995.0 MB
Frontend_Machine_Coding_Preparation.part2.rar – 995.0 MB
Frontend_Machine_Coding_Preparation.part3.rar – 995.0 MB
Frontend_Machine_Coding_Preparation.part4.rar – 995.0 MB
Frontend_Machine_Coding_Preparation.part5.rar – 995.0 MB
Frontend_Machine_Coding_Preparation.part6.rar – 995.0 MB
Frontend_Machine_Coding_Preparation.part7.rar – 455.7 MB
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