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₹50,000 loan with Aadhaar card, no guarantee needed under PM Svanidhi Yojana Online Apply 2025
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The Pradhan Mantri Street Vendor's AtmaNirbhar Nidhi (PM SVANidhi) scheme, launched in 2020, provides collateral-free loans to street vendors to support their businesses. Eligible vendors can access an initial working capital loan of up to ₹10,000. Upon timely repayment, they become eligible for higher loan amounts of ₹20,000 and subsequently up to ₹50,000. Wikipedia Eligibility Criteria: Street Vendors: Individuals engaged in vending prior to March 24, 2020, as identified in surveys conducted by Urban Local Bodies (ULBs). Identification: Possession of a Certificate of Vending or a Letter of Recommendation from the ULB or Town Vending Committee. Application Process: Understand the Loan Application Requirements: Familiarize yourself with the necessary documents and information needed to complete the Loan Application Form (LAF). PM Svanidhi Ensure Mobile Number is Linked to Aadhaar: Your mobile number must be linked to your Aadhaar for e- KYC/Aadhaar validation during the onlin...
DeepLearning AI Offering Free Data Engineering Course For Everyone, A Path to Professional Growth Enroll Today in 2025
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DeepLearning.AI offers a comprehensive Data Engineering Professional Certificate designed to equip you with the skills needed to excel in the high-demand field of data engineering. This program covers the entire data engineering lifecycle, including data generation, ingestion, storage, transformation, and serving. You'll gain hands-on experience with tools like AWS and open-source platforms, learning to build effective data pipelines and architectures that drive business value. DeepLearning.ai The certificate program consists of four courses: Introduction to Data Engineering : Understand the data engineering lifecycle and develop a framework for building data engineering solutions. Source Systems, Data Ingestion, and Pipelines : Learn to design and implement batch and streaming data pipelines on AWS, integrating aspects of security, data management, and orchestration. Data Storage and Queries : Explore different data storage architectures, practice common query patterns, and identi...
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