What You Need to Know Before
You Start

Starts 23 June 2025 22:35

Ends 23 June 2025

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Computer Engineering Mastery: From Beginner to Expert!

via Udemy

4123 Courses


1 day 21 hours 31 minutes

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Overview

Are you ready to unlock the secrets of the digital universe and become a trailblazer in computer engineering? "Computer Engineering Mastery:

From Beginner to Expert" is not just a course; it’s your gateway to mastering the very foundations and frontiers of technology. Imagine a journey where every lesson is a step towards becoming a highly skilled expert in the world of computers, and you’re about to embark on it..

Syllabus

  • Introduction to Computer Engineering
  • Overview of the Digital Universe
    Evolution of Computer Engineering
    Career Paths in Computer Engineering
  • Fundamental Concepts
  • Binary Systems and Number Representation
    Basic Logic Gates and Circuitry
    Introduction to Computer Architecture
  • Programming Foundations
  • Introduction to Programming Languages
    Structured Programming in C/C++
    Data Structures and Algorithms Basics
  • Advanced Computer Architecture
  • CPU and Memory Design
    Pipelining and Parallelism
    GPU and Hardware Acceleration
  • Software Engineering Principles
  • Software Development Life Cycle (SDLC)
    Agile Methodologies
    Software Testing and Quality Assurance
  • Embedded Systems
  • Basics of Microcontrollers
    Real-Time Operating Systems (RTOS)
    Embedded Programming Languages
  • Data Communication and Networking
  • Networking Protocols and Architecture
    Internet of Things (IoT) Fundamentals
    Network Security Principles
  • Operating Systems
  • Linux and Windows Architecture
    Process and Thread Management
    File Systems and I/O Systems
  • Advanced Programming Concepts
  • Object-Oriented Programming (Java/Python)
    Functional Programming Paradigms
    Advanced Data Structures and Algorithms
  • Digital Signal Processing
  • Fundamentals of Signal Processing
    Applications in Audio and Image Processing
    DSP Algorithms Implementation
  • Machine Learning and Artificial Intelligence
  • Introduction to ML and AI
    Neural Networks and Deep Learning
    Applications and Case Studies in AI
  • Capstone Project
  • Project Proposal and Planning
    Implementation and Testing
    Presentation and Evaluation
  • Industry Trends and Future Directions
  • Emerging Technologies in Computer Engineering
    Ethical and Social Implications of Technology
    Continuing Education and Professional Development
  • Review and Certification
  • Comprehensive Review
    Certification Exam Preparation
    Certification and Career Guidance

Taught by

infusion X


Subjects

Computer Science