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Digital Engineering

via SWAYAM Plus

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The course was curated by Digital Enginnering organization to showcase how emerging technologies like Cybersecurity, Big Data Analytics, Artificial Intelligence and Machine Learning (AI/ML), Edge Computing, and the Internet of Things (IoT) are applied in ERnD Industry

Intended audience

Prerequisites

Basic computer skills ;English language skills

Assessment & certification

Assessment fee: ₹600
Assessment mode: Online proctored
Assessment type: MCQ
Assessment provider: SSC NASSCOM
Certificate provider: NA

NCrF level: 6 (NCrF credit-eligible)

Syllabus

Week 1: Edge Computing: Edge Computing Overview, Cloud-Edge Hybrid, Edge Computing Architecture, Edge Security & Protocols, Building, Scaling, and Securing Your Edge Network Design, Deployment of Edge Microservices, Deployment of Edge Microservices, Development of Edge Computing Applications, Edge Analytics, Enterprise Edge Use Cases, Edge Computing Solutions.
Week 2: Internet of Things (IoT): IoT Overview, IoT Reference Architecture, Sensors and Device Layer, Connectivity Layer (LORAWAN, 3G/4G/5G, BLE), Enterprise IoT Platform Ingredients, Analytics/ML/AI in IoT, IoT Adoption & Business, Enterprise IoT Adoption Across Industries.
Week 3: Cybersecurity: Security Overview, IoT Security, IT Security, OT Security, Network Security, Security Assessment & Penetration Testing, Security Adoption & Business, Managed Security Services.
Week 4: AI/ML: Data Science Foundation & Advanced, Descriptive & Inferential Statistic, Basics of Probability & Statistics, Data types, Hypothesis Testing & Exploratory Data Analytics, Supervised, Unsupervised, Semi-supervised, and Reinforcement Learning, Text Analytics Natural Language Processing & Generation, Neural Networks & Deep Learning.
Week 5: BDA: Basics of Big Data, Big Data: ELT Fundamental Components, Big Data Security Fundamentals, Data Engineering - Processing, Storage, and Capacity Planning, Data Types and no SQL DB Architecture.