Free

Udemy

Adaptive Learning Rate Optimization for Machine Learning

Name: Adaptive Learning Rate Optimization for Machine Learning
Availability: InStock

Adaptive Learning Rate Optimization for Machine Learning is a beginner-level online course from Udemy in Machine Learning. It is structured in 9 modules with 4 stated learning outcomes. It is free to enrol, and a certificate is available on completion. 6 learners have enrolled on Udemy.

Part of our Machine Learning courses collection, where we compare it against 20 other courses.

6 learners English

Course highlights

Provider	Udemy
Level	Beginner
Mode	Self-paced
Language	English
Certificate	Yes — shareable certificate
Learners	6
Price	Free Free

What you’ll learn

Understand the mathematical foundations of adaptive optimization algorithms used in machine learning and deep learning.

Implement and compare adaptive optimization techniques such as AdaGrad, RMSProp, ADAM, ADAMAX, ADADELTA, and NADAM using MATLAB and Python.

Analyze convergence behavior, adaptive learning rates, oscillations, and error minimization in regression-based machine learning models.

Design and develop optimization workflows, gradient calculations, and algorithmic flowcharts for practical machine learning applications.

Level and time commitment

Udemy lists this course at Beginner level.

No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.

Skills you’ll gain

Thing

What this course covers

9 modules

The 9-part outline Udemy publishes for this course.

Module 1 · Introduction

Module 2 · Adagrad Optimizer

Module 3 · RMSprop (Root Mean Square Propagation) Optimizer

Module 4 · ADADELTA Optimizer

Module 5 · ADAM (Adaptive Moment Estimation) Optimizer

Module 6 · ADAMAX Optimizer

Module 7 · NADAM Optimizer

Module 8 · Adaptive Learning Rate Based Optimization Algorithms: Comparative Insights

Module 9 · Practice Tests

How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 25 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course	Provider	Rating	Price	Duration	Why pick this one
Adaptive Learning Rate Optimization for Machine Learning This	Udemy	0.0★	Free		Free — and still gives a certificate
Machine Learning	Coursera	4.9★	Check price	2 months	Highest rated (4.9★ from 39.2K reviews)
Machine Learning with Python	Coursera	4.7★	Check price	20h 26m	Quickest to finish (20h 26m)
Machine Learning: Classification	Coursera	4.7★	Check price	21h 25m	Beginner-friendly · 21h 25m

See all Machine Learning courses →

Where Machine Learning leads

Roles we map to Machine Learning on 10courses. This is our own mapping of subject to job, not a placement claim by Udemy.

Data Scientist

Browse every course we track for one of these — courses for data scientists.

Common questions

Is Adaptive Learning Rate Optimization for Machine Learning free?

Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.

Does Adaptive Learning Rate Optimization for Machine Learning come with a certificate?

Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

Is Adaptive Learning Rate Optimization for Machine Learning suitable for beginners?

Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.

What does Adaptive Learning Rate Optimization for Machine Learning cover?

It is organised into 9 modules, starting with Introduction and going on to Adagrad Optimizer, RMSprop (Root Mean Square Propagation) Optimizer, ADADELTA Optimizer, ADAM (Adaptive Moment Estimation) Optimizer, among others. The full outline is on this page.