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Electronics courses

Learn Electronics online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Harvard University

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

  • edX
  • 5 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Harvard University

Deploying TinyML

4.521 ratings

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

  • edX
  • 5 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

MIT OpenCourseWare

Communication System Design

This course presents a top-down approach to communications system design. The course will cover communication theory, algorithms and implementation architectures for essential blocks in modern physical-layer communication systems (coders and decoders, filters, multi-tone modulation, synchronization…

  • MIT
  • Self-paced
  • Free course
  • Advanced

MIT OpenCourseWare

High Speed Communication Circuits and Systems

6.976 covers circuit and system level design issues of high speed communication systems, with primary focus being placed on wireless and broadband data link applications. Specific circuit topics include transmission lines, high speed and low noise amplifiers, VCO’s, and high speed digital circuits.…

  • MIT
  • Self-paced
  • Free course
  • Advanced

IIT Kharagpur

Hardware modeling using verilog

Computer Science and Engineering course by Prof. Indranil Sengupta.

  • NPTEL
  • 8 weeks, 41 lectures
  • Self-paced
  • Free course
  • Paid certificate
  • Intermediate

Massachusetts Institute of Technology

MIT 6.622 Power Electronics, Spring 2023

Instructor: David Perreault View the complete course: https://ocw.mit.edu/courses/6-622-power-electronics-spring-2023 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62UTc77mJoubhDELSC8lfR0 6.622 covers modeling, analysis, design, control, and application of circuits for energy c…

Video playlist
  • YouTube
  • 38 videos, 32 hours
  • Self-paced
  • Free video

Dartmouth College

C Programming: Getting Started

4.723 ratings

Start learning one of the most powerful and widely used programming languages: C.

  • edX
  • 5 weeks, 3 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Massachusetts Institute of Technology

MIT 6.002 Circuits and Electronics, Spring 2007

6.002 is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. At MIT, 6.002 is in the core of department subjects required for all undergraduates in EECS. The course introduces the fundamentals of the…

Video playlist
  • YouTube
  • 26 videos, 21 hours
  • Self-paced
  • Free video

IIT Madras

CAD for VLSI Design I

Computer Science and Engineering course by Prof. Shankar Balachandran, Prof. V. Kamakoti.

  • NPTEL
  • 40 lectures
  • Self-paced
  • Free course
  • Paid certificate

IIT Madras

CAD for VLSI Design II

Computer Science and Engineering course by Prof. Shankar Balachandran, Prof. V. Kamakoti.

  • NPTEL
  • 20 lectures
  • Self-paced
  • Free course
  • Paid certificate

MIT OpenCourseWare

Algorithms for Inference

This is a graduate-level introduction to the principles of statistical inference with probabilistic models defined using graphical representations. The material in this course constitutes a common foundation for work in machine learning, signal processing, artificial intelligence, computer vision,…

  • MIT
  • Self-paced
  • Free course
  • Advanced

Massachusetts Institute of Technology

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018

Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probabil…

Video playlist
  • YouTube
  • 36 videos, 28 hours
  • Self-paced
  • Free video

Massachusetts Institute of Technology

MIT RES.6.007 Signals and Systems, 1987

Signals and Systems was developed in 1987 as a distance-education course for engineers. An introduction to analog and digital signal processing, including discrete- and continuous-time signals, linear time-invariant systems, feedback, and data processing.

Video playlist
  • YouTube
  • 26 videos, 20 hours
  • Self-paced
  • Free video

MIT OpenCourseWare

Discrete-Time Signal Processing: Oppenheim and Schafer

This page is the central hub for the third edition of Discrete-Time Signal Processing by Alan Oppenheim and Ron Schafer, available online for free. Here, you’ll find the complete third edition, along with a curated selection of related resources, including the following: Access to previous editions…

  • MIT
  • Self-paced
  • Free course

Microsoft

Describe the embedded experiences of Microsoft Security Copilot

Microsoft Security Copilot is accessible directly from some Microsoft security products. This is referred to the embedded experience. Learn about the scenarios supported by the Copilot embedded experience in Microsoft’s security solutions.

  • Microsoft Learn
  • 50 minutes
  • Self-paced
  • Free course
  • Free badge
  • Beginner

Massachusetts Institute of Technology

MIT RES.6-008 Digital Signal Processing, 1975

Instructor: Alan V. Oppenheim Set of 20 video lectures for Signals and Systems, an introductory course in analog and digital signal processing, including seismic data processing, communications, speech processing, image processing, consumer electronics, and defense electronics. View the complete co…

Video playlist
  • YouTube
  • 22 videos, 15 hours
  • Self-paced
  • Free video