Best machine learning and deep learning courses (free/paid)

Best Machine learning courses

Machine learning is something which attracts young minds and if you are one of them then read this article on best machine learning courses online free and paid.

Machine learning is something which attracts young students and today student have a huge interest in machine learning and it is increasing day by day.

Everyday various type of new products or digital products are arriving with some crazy use of machine learning hence today I'm going to share the best machine learning course online free/paid.

So if you are finding a machine learning course online then I will share the best machine learning course online here on this article and if you are finding machine learning course offline then I will also share the best machine learning course offline.

So hello guys welcome back to Gtechxp, let's start the article.

Artificial Intelligence

Artificial intelligence is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans this can include speech recognition visual perception language identification decision-making etc.

First I will share some basic and important advice that you can keep in your mind before taking the any  machine learning.

Please read the below info carefully.

You might know that Python, Data Science and machine Learning are related to each other and if you are confused which one to choose and start learning then you are at right place. 

Friends the hardest thing to learn in the machine learning is Calculation.

If you want success in machine learning then you have to work harder to solve the math problems and math is the hardest thing to learn and math is common in all these three courses. 

If you are starting from the very beginning then you first focus on math and start from Python(Easy) or R Language(hard) and then you can choose either data science or machine learning.

Who can take the Machine Learning course?

Candidates who have a strong interest in studying mathematics especially mathematical logic problems are more suitable for the machine learning course.

They should also be adequately profession in programming languages such as C and Prolog computer but if you have a deep interest in AI or Machine Learning then you can start from the very beginning and keep in mind that nothing is impossible. 

Free And Paid Machine Learning Online Course

As the Internet is growing Today Artificial intelligence is being used in almost every field from mobile to networking to automobile or you can say everywhere in a different role.

Top Tech companies like GAFAM(Google, Apple, Facebook, Amazon, and Microsoft) are using Machine learning to increase their revenue as well as product quality.

Are you ready?

Be sure to start the machine learning with full desire and motivation because you get very complex problems in the machine learning course and if you have a strong interest in Machine learning then you will overcome all these problems and become the winner.

From Where You Can Do the Machine Learning Course?

Now the question is, from where you can do the Machine learning course? Friends, you will find ML courses in many Universities in your country, because now ML has become very popular.

And if you want to understand it more clearly, then you should take admission in a university in your country.

But if you have time restrictions or you are on a different course or you are doing any type of job then you should do a Machine Learning course online.

1. Microsoft Online Course On AI

If you want to learn machine learning from basic to advanced with full in-depth knowledge then this machine learning course is for you. 

The Microsoft Professional Program or MPP is just awesome and all in one course along with the other course which is free of cost. 

As you know Microsoft is very trusted and legend tech company in the world and getting certified by the well-known company will boost your professional life and you can easily get jobs or you can create your own business too.

Details of the Microsoft Machine Learning course

You can choose from 10 different types of best Machine Learning courses and the duration of each course is between 10 to 48 hours. 

In the Microsoft Professional Program, you can learn Artificial Intelligence through 10 different courses and you will master in these different topics at the end.

After completing this Machine Learning Course online then you will know these: 

» Python (data science)

» Mathematics (For AI)

» Ethics and Law (in Data and Analytics)

» Data Analysis

» Azure Machine Learning

» Computer Vision

» Natural Language Processing

» Speech Recognition etc.

if you want to know the full detail of the course then click on the given link below and this course comes in the first position of our best machine learning course series.

Click Here- Microsoft Course On AI

2. Udacity Online Course On AI

The next one is the Udacity Online machine learning course which is yet another great course of machine learning and Udacity is very popular online learning platform.

Udacity offers you free and intermediate Level of artificial intelligence study material at free of cost.

The name of the course is an introduction to Artificial intelligence and in this course, you will learn the basic fundamentals of machine learning to in-depth Study materials.

As well as you will get experts Guide on the whole course and you will be guided how to study machine learning or Artificial intelligence with Udacity.

Intro to Artificial intelligence

In this free online machine learning course and to learn this you have to invest your 4 months to study the whole course.

They teach you from beginner to intermediate level as well as they will teach you how you can become more productive in the field of Artificial intelligent.

You may know that there are huge possibilities of artificial intelligence in the near future and it's started already, keep learning for today to do more tomorrow.

What you get at Udacity?

» Rich Learning Content

» Interactive Quizzes

» Taught by Industry Pros

» Self-Paced Learning

» Student Support Community.

Click Here- Online Machine Learning course on Udacity 

Google Machine Learning Course

The beast is here! If you are just want to know Machine learning in a simple way then you can start a free course by Google.

On this course you learn the Basics of artificial intelligence and also you can learn in a very simple way.

keep in mind that Google is a very trusted and legend tech company so you will get the right knowledge from the Experts of Google at zero cost.

Even there are many paid courses available in the market but we'll suggest you to first take admission in any free Online Course on machine learning.

After that when you clear your basics on Artificial intelligence and know the basic fundamentals and what and how you have to work, then you can take admission on any best paid courses of machine learning.

Online Course on AI by Google Syllabus 

» AI for Social Good Guide

» Introduction to Machine Learning

» Problem Framing Data

» Preparation and Feature Engineering for Machine Learning

» Machine learning guides

» AI Adventures: 7 Steps of Machine Learning And many more,

» you can check full details of this course by in below link.

Click Here - Online course On AI Google.

Best Machine Learning Courses

Now after taking a basic machine learning course if you are ready to up skill your knowledge of machine learning to advanced level then you may join any of these best machine learning courses.

Although you can also directly take these courses, but these courses are paid machine learning courses and it's always advisable to start learning from a basic and free online machine learning courses and then after you can join any paid courses.

01. Python for everybody by the University of Michigan.

Short Description: This course is created to learn Python Programming and knowledge of how to Analyze Data with Python.

With this course, you can Develop programs to gather, clean, analyze, and visualize data easily.

From: Python for everybody is created by the University of Michigan and available on the online education platform Coursera.

Details: This is a Specialization course to learn the Python which will build your basic to advanced knowledge of machine learning.

This course is designed for the success of the Python for Everybody and hence anyone who has an interest in the machine learning can take this course.

In this course they introduced fundamental programming concepts in front of your which will including data structures, networked application program interfaces, and databases, using the Python programming language.

Course Overview: This course consists of 5 courses and every course comes with specialization projects and You'll need to successfully finish the projects to complete the Specialization to earn your certificate.

In this course, you will learn these topics in detailed.

» Neural Networks and deep learning.

» Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization

» Programming for Everybody (Getting Started with Python). [4.8 ratings out of 5 stars (62,274 ratings)]

» Python Data Structures.
[4.9 stars out of 5 stars (33,587 ratings)]

» Using Python to Access Web Data.
[4.8 stars out of 5 stars (20,469 ratings)]

» Using Databases with Python
[4.8 stars out of 5 stars (12,580 ratings)]

» Capstone: Retrieving, Processing, and Visualizing Data with Python.
[4.6 stars out of 5 stars (4,426 ratings)]

After completing: after finishing the Python for everybody by University of Michigan course you’ll be able to use the technologies learned throughout the Specialization course to design and create your own applications for data retrieval, processing, and visualization which will boost your knowledge.

Certificate: In this course, you get various specialization and Every Specialization includes a hands-on project.

If the Specialization includes a separate course for the hands-on project then you'll need to finish each of the other courses before you can start it and after completing all the specialization you will get the Certificate.

Review: This is the best course for you if you are new to the machine learning and artificial intelligence field and this course can be the best the machine learning course for you.

The instructor of this course is Charles Severance who is the professor of the school of information and the way he teaches you will gonna love and enjoy the whole course.

He will teach you from beginning to advanced and at the end, you will become a master of machine learning.

Rating: 4.9 stars out of 5 stars.
Course duration: Approx 3 Months
Timing: Flexible Timing
Language: English (Subtitle on Chinese, Portuguese (Brazilian), Vietnamese, Korean and Hebrew.
Take this course: Click Here
FAQs: Click Here

02. Applied Data Science with Python Specialization.

Short Description: This is again offered by Michigan University and after you complete the first course then you can take this course to take your data analytics to advanced level.

With this course, you will gain new insights into your data and you will learn to apply data science methods and techniques in your real projects and acquire analytical skills.

This skills-based specialization is intended for learners who have a basic python or programming background, means if you have taken and completed the first course then you can take this course.

From: Applied Data Science with Python Specialization is created by the University of Michigan and available on the online education platform Coursera.

Details: This is a Coursera Specialization series of course that helps you master a skill and in this course, you will master the data analytics.

If you are ready to learn deeper then you can enroll in the Specialization course directly, or review its courses and choose the one you'd like to start with.

The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and more.

Course Overview: This course consists of 5 courses and every course comes with specialization projects and You'll need to successfully finish the projects to complete the Specialization to earn your certificate.

In this course, you will learn these topics in detailed.

» Introduction to Data Science in Python.
[4.5 stars out of 5 stars (11,283 ratings)]

» Applied Plotting, Charting & Data Representation in Python.
[4.5 stars out of 5 stars (11,283 ratings)]

» Applied Machine Learning in Python.
[4.6stars out of 5 stars (3,390 ratings)]

» Applied Text Mining in Python.
[4.2 stars out of 5 stars (1,152 ratings)]

» Applied Social Network Analysis in Python.
[4.7 stars out of 5 stars (1,237 ratings)]

After Completing: after finishing the whole course of Applied Data Science with Python Specialization you will have deep knowledge of tabular data, clean it, other forms of structuring and visualizing data, scikit learn predictive modelling methods,(classification) and unsupervised (clustering) technique, nltk framework for manipulating text and concept of connectivity and network robustness etc.

Certificate: Again With this course, you get various specialization and Every Specialization includes a hands-on project to earn the certificate.

If the Specialization includes a separate course for the hands-on project then you'll need to finish each of the other courses before you can start it and after completing all the specialization you will get the Certificate.

Review: It essentially gives you how to do data analytics through Python write basic data from how to plot a chart, how to visualize your data, how to filter your data, how to clean your data etc.

Instructors of this course are Christopher Brooks, Kevyn Collins-Thompson, V. G. Vinod Vydiswaran, Daniel Romero and all of them are professionals in their own domain.

You will learn every topic in detail with examples and you will know the real-life deep uses of data analytics as well as the future of data analytics.

Rating: 4.8 stars out of 5 stars.
Course duration: Approx 5 Months
Language: English (Subtitle on Chinese, Korean, Vietnamese, Korean and Hebrew.
Timing: Flexible Timing
Take this course: Click Here
FAQs: Click Here

03. Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)

Short Description: This is the most famous course on machine learning on the udemy right now and the reason of this because the instructor has designed the course a way that people understand easily.

In this course you gonna Learn to create Machine Learning Algorithms in Python and R from two Data Science experts also they provide you the Code templates.

This Machine learning course is Created by Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team which will give you the super machine learning knowledge or Gyan in Hindi 😊!

From: Offered by the Super Data Science Team and with them you will Learn to create Machine Learning Algorithms in Python and R from two Data Science experts.

Master Machine Learning on Python & R after that you will Have a great intuition of many Machine Learning models.

Details: This is a very good course for those who want real knowledge at less price. 

You will get the A quality Content or knowledge of machine learning in this course at very low price with a certificate after taking and finishing the Machine Learning A-Z™: Hands-On Python & R In Data Science on udemy.

They will take you step-by-step into the World of Machine Learning.

With every tutorial, you will develop new skills and improve your understanding of this challenging but interesting field of machine learning.

This course is fun and exciting, but at the same time, they dive deep into Machine Learning to give a deeper knowledge of machine learning.

Course overview: this is 41 hours on-demand video course and along with you will get 31 articles related to data science topics, 5 downloadable resources, Full lifetime access of videos of the course, Access on mobile and TV and Certificate of Completion.

One more thing is that when the instructor adds more videos lectures to the course you will be notified and get access to new video lecture at no extra cost.

Means just purchase the course once and you will get the lifetime access to the whole course as well as the new video lectures.

The course will occur in this way:

» Part 1 - Data Preprocessing

» Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression.

» Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification

» Part 4 - Clustering: K-Means, Hierarchical Clustering

» Part 5 - Association Rule Learning: Apriori, Eclat

» Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling

» Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP

» Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks

» Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA

» Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost.

Also, they will provide you the practical exercises which are based on real-life examples. So that you will not only learn the theory, but you will also get some hands-on practice building your own models with python.

After Completing: after successful completion of this course you will get a certificate which can be downloaded as PDF or jpeg file also you can share this certificate on linked.

After successful completion of the whole course of Machine Learning A-Z™: Hands-On Python & R In Data Science you will be able to:

» Make accurate predictions

» Make a powerful analysis

» Make robust Machine Learning models

» Create strong added value to your business

» Use Machine Learning for personal purpose

» Handle specific topics like Reinforcement Learning, NLP and Deep Learning

» Handle advanced techniques like Dimensionality Reduction

» Know which Machine Learning model to choose for each type of problem

» Build an army of powerful Machine Learning models and know how to combine them to solve any problem etc.

Certificate: You will get a certificate in which your name and the course name with full details of course like full duration have printed the certificate you get from udemy after successful completion the course.

Review: I have not taken this course so I don't make any review but I will share the other people's review and combine them all and give you an idea what they think about this course.

So a student Gaurav Roy reviewed this course and according to him, This is a great course and a perfect way to start the journey to Machine Learning!

He cuts half star and gives 4.5 stars out of 5, and the response is described is that this course needs to be updated and fine-tuned in some places and you can read the full review on the udemy website.

Rating: 4.3 stars out of 5 stars.
Course duration: depends on you.
Language: English (Subtitle on German, Indonesian, Italian, Japanese, Portuguese, Spanish, Turkish (All Are Auto-generated)
Timing: N/A
Take this course: Click Here
FAQs: Click Here

04. Machine Learning Specialization

Short Description: again from coursera this is yet another machine learning course on cousera and you know what there is a lot more courses are available for machine learning on coursera.

With this course, you can Build Intelligent Applications and the Master machine learning fundamentals in four hands-on courses.

From: This specialization course is offered by the University of Washington and in this course, you will learn Data Clustering Algorithms, Machine Learning, Classification Algorithms, Decision Tree, etc.

Details: This course is offered by the University of Washington hence no doubt you will get the best content and right knowledge in a nicely align way/method and hence they will guide you and if you follow them then you can become the special machine learning programmer very soon.

This Specialization course from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning.

Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval.

As well as You will learn in deep to analyze large and complex datasets, create systems that adapt and improve over time.

Course overview: This course is about 8 months of duration and you will know the machine learning or AI from Basic to advanced in a nice and structured way.

They start from basic and as time passes they slowly take you to advanced level and if you enjoy the course then you can't even identify that they already stared the advanced machine learning lecture and that's how machine learning is all about.

The course is designed very well and you will enjoy this whole course although everyone has their own likes and dislikes so maybe you don't like the course as much as I am telling here but I'm sure that you will definitely like this Machine Learning Specialization by the University of Washington.

» Machine Learning Foundations: A Case Study Approach.

» Machine Learning: Regression.
[4.6 stars out of 5 stars (8,690 ratings)]

» Machine Learning: Classification.
[4.8 stars out of 5 stars (4,256 ratings)]

» Machine Learning: Clustering & Retrieval.
[4.7 stars out of 5 stars (2,795 ratings)]

» Machine Learning: Clustering & Retrieval
[4.6 stars out of 5 stars (1,702 ratings)]

All these lectures are provided by the instructor Emily Fox, Carlos Guestrin both are the amazon professional machine learning.

In this course, you will get hands-on experience with machine learning from a series of practical case-studies which will help you to learn machine learning in deep.

After Completing: after finishing the Machine Learning Specialization course you will be able to write your program and make your own data reading artificial bot.

You will be able to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data that they stored from programs.

Certificate: after you complete the Machine Learning Specialization course you will get a digital certificate which you can share on professional websites like linked.

Rating: 4.7 stars out of 5 stars.
Course duration: Depends on you.
Language: English, Korean, Vietnamese, Chinese (Simplified), Arabic.
Get this course: Click Here
FAQs: Click Here

05. Deep Learning Specialization

Short Description: This is yet another very good machine learning course for intermediate as well as advanced machine learning students.

No matter how much you know, but if you want to be a supercomputer then you have to be updated with the latest hardware and latest software.

Every course is evolving day by day and one-year-old machine learning courses and today's machine learning courses are evolved very much. Now you will get much deeper and higher degrees of knowledge with respect to what you get one year ago in any machine learning courses.

This course is offered by deeplearning.io and this course is very useful for Deep Learning fundamentals and how to apply them deep learning and how to build a successful career in Artificial Intelligence.

From: This specialization course is powered by deeplearning.ai and you can also take it on coursera as well as on its official website and start your machine learning on the go online.

Details: This is a deep learning course of machine learning which means you will learn the deeper and harder things/calculations on machine learning.

They will teach you less known and very unique things in deep learning with the help of this course you can skyrocket your career in just a few months.

If you are someone who wants to break into Artificial Intelligence, then this Specialization course will help you and it will help you to achieve all the goals that you have dreamed off.

Deep Learning is one of the most highly sought after skills in tech and this course will help you to become good at Deep Learning.

You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.

AI is transforming multiple industries and After finishing this specialization, you will easily find creative ways to apply it to your work.

Course overview: This specialization course is available and recommended for all intermediate level of students.

This course contains five different courses and every course covers a topic in deep and makes you a good deep learning expert.

This course will occur in this way:

» Neural Networks and deep learning.
[4.9 ratings out of 5 stars (57,252  ratings)]

» Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization.
[4.9 ratings out of 5 stars (36,226 ratings)]

» Structuring Machine Learning Projects.
[4.8 ratings out of 5 stars (29,725 ratings)]

» Convolutional Neural Networks.
[4.9 ratings out of 5 stars (23,425 ratings)]

» Sequence Models.
[4.8 ratings out of 5 stars (15,540 ratings)]

This is the highest rated course on deep learning that i found and after taking this course you will thank me for suggesting this curses. It's Amazing.

After Completing: After finishing the deep learning specializing course you will learn almost everything about machine learning from machine learning fundamentals to how to build neural networks.

You will have a strong command on the Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more after finishing this course.

Certificate: So after much learning and hard work you will get a digital certificate which you can use anywhere to increase your overall professional skills score.

Rating: 4.9 stars out of 5 stars.
Course duration: depends on you.
Language: English Chinese
(Traditional), Arabic, French,
Ukrainian, Chinese
(Simplified), Portuguese
(Brazilian), Korean, Turkish,
Japanese.
Timing: Flexible Timing
Take this course: Click Here
FAQs: Click Here

06. Introduction to Python

Short Description: So this course is very helpful for beginners who just started learning about machine learning.

Machine learning and python both are related to each other because in machine learning you will use various maths/calculation with other programs to make a machine learning application.

With this course, you can be able to do the same things from beginning to more than intermediate level.

From: This course is offered by data camp and you will learn various things about Python programming.

Details: This is an online video course and this course range starts from how to use Python both interactively and through a script to Learn to work with the NumPy array.

Course Overview: This is a 4 hours long video course online and over 1.5 million students are already have taken this course.

If you are willing to know which topics are covered in this course then read below.

#1 Python Basics

» The Python Interface

» When to use Python?

» Python as a calculator

» Variables & Types in python

» Variable Assignment in python

» Calculations with variables in python

» Other variable types in python

» Guess the type

» Operations with other types

» Type conversion

» Can Python handle everything?

#2. Python Lists

» Lists in python.

» How Create a list in python?

» Create a list of different types in python.

» How to Select the valid list in python?

» What are List of lists?

» Create a list with different types

» Select the valid list

» Subsetting lists

» Subset and conquer

» Slicing and dicing

» Subsetting lists of lists in Python

» List Manipulation in python

» Replace list elements

» Extend a list in python

» Delete list elements in python

» Inner workings of lists in python.

#3. Functions and Packages

» Functions in python.

» Familiar functions in python.

» Methods in python.

» String Methods in python.

» List Methods in python.

» 2nd List Methods in puthon.

» Packages in python.

» Import package in python.

» Selective import in python.

» Different ways of importing in python.

#4. NumPy

» What is NumPy in Python?

» Create Your First NumPy Array.

» Baseball player's BMI.

» Lightweight baseball players.

» NumPy Side Effects.

» Subsetting NumPy Arrays.

» 2D NumPy Arrays in python.

» Your First 2D NumPy Array.

» Baseball data in 2D form.

» Subsetting 2D NumPy Arrays in python.

» 2D Arithmetic in python.

» NumPy: Basic Statistics.

» Average versus median in python.

» Explore the baseball data in python.

Certificate: After finishing the whole course you will get a certificate from data camp.
Are data camp certificates are free?

Yes and No both! Some of the courses are available on data camp with free certification while some are paid courses for which you have to spend money to get the course completed and to get your certificate of completion.

Rating: 4.4 stars out of 5 stars.
Course duration: 4 hours
Language: English
Timing: Whenever you want.
Take this course: Click Here
FAQs: Click Here

07. MicroMasters® Program in Artificial Intelligence (edx)

Short Description: Define your future that's the tag line for this course which is offered by Columbia University and available at edx.org and if you are interested in artificial intelligence then this course is for you.

This is an intermediate level course for someone who has a bachelors degree in computer science or mathematics and have a basic understanding of statistics, intermediate level algebra, calculus and comfort with programming languages.

This course is not available for Iran and Cuba learners and because of this if you are an Iran and Cuba national then this course will not be available to you. Sorry!

From: This MicroMasters® Program in machine learning and Artificial Intelligence is offered by the University of Columbia and hence no doubt it is highly authorized and well-sorted best machine learning course.

Details: This is an ultimate guide to learn the various topics related to artificial intelligence and machine learning within detail explanation by world-class faculty from the University of Columbia.

With this course, you will learn in depth understanding of the guiding principles of Artificial Intelligence and Apply concepts of machine learning to real-life problems and applications.

On this online course, you will be instructed by the instructors of Columbia University and they are Ansaf Salleb-Aouissi, John W. Paisley,

Matei Ciocarlie, Eitan Grinspun.

Course overview: This online course is divided into 4 courses and hence you will learn in detailed information about machine learning or artificial intelligence.

This course will occur in this way:

» Artificial Intelligence (AI).

» Machine Learning (ML).

» Robotics.

» Animated and CGI Motion.

After Completing: This Micro Masters® Program in artificial Intelligence is designed to give you all the necessary guide and right path for your future career.

After this course, you will know these things like WDesign and harness the power of Neural Networks, Broad applications of AI in fields of robotics, vision and physical simulation.

You will know the essentials of machine learning and algorithms to help improve learning from data without the human brain 🧠 and you Learn the science behind movie animation from the Director of Columbia’s Computer Graphics group.

Certificate: After taking the whole course you will be rewarded with the successful certification of completion and you will be also guided for job opportunities in the field of machine learning.

Rating: 4.6 stars out of 5 stars.
Course duration: 10-12 weeks.
Language: English
Timing: 8–10 hours per week
Take this course: Click Here
FAQs: Click Here

08. Intro to Machine Learning Nanodegree Program (Udacity)

Short Description: This is a short time taking nano degree machine learning course for working professionals as well as an intermediate level of students and this course will make you a machine learning engineer.

From: This course is offered by well known online learning platform Udacity with association with kaggle and AWS.

Details: The simple yet highly attractive title of this course is "Become a Machine Learning Engineer" and which is really attracts anyone who wants to learn machine learning.

This is an advanced level course hence it is recommended to an intermediate level students who know the basics of Python & Machine Learning Algorithms.

This is an online course and it will last around 3 months and almost 10 hours per week.

Means if you can just give one hour on weekdays and 4 hours on the weekend then after three months you will become a machine learning engineer.

Course overview: This course is designed very well and the content on this course will make you a smart yet deep learner.

This course is a nano degree online course on machine learning which is based on real-world projects and immersive content built in partnership with top tier companies and in this course you’ll master machine learning or AI technology skills companies want.

After Completing: This is a really huge online machine course and for this, you have spent your 3 months and if you spend this much time then absolutely you will get rewarded at the end.

This nano degree machine learning course checklists:

» 1-on-1 technical mentor

» Check-ins with the mentor

» Student community

» Personal career coaching

» Interview preparations

» Resume services

» Resume shared with 500+ employers

» LinkedIn profile review

» Content co-created with Kaggle

» Real-world projects

» Project reviews

» Proj. feedback from experienced reviewers.

This is a very deep machine learning course and all the syllabus are available on the official website. For knowing the syllabus for this online course you have to sign up on the Udacity and then you can easily download the syllabus of this online machine learning course.

After finishing the whole course you will have good commands on advanced machine learning deployment techniques and various software engineering best practises like you can make your own high end software.

Certificate: Usually Udacity won't give certificates of course completion for any singular or sub part course but this "Intro to Machine Learning Nano Degree Program" is a nano degree course hence you will get a certificate of completion.

Rating: 4.5 stars out of 5 stars.
Course duration: Approx 3 months
Language: English.
Timing: Flexible timing.
Take this course: Click Here

FAQs: Click Here

09. Machine Learning Course Online using Python

Short Description: This is also a very good online machine learning course for any intermediate level of student who have basic knowledge in python and data analysis.

This Intellipaat Machine Learning course comes with Python training which makes it an altogether comprehensive course for mastering various aspects of Machine Learning.

From: This online course is offered by Intellipaat which is an online learning platform where you get various different courses also and if you are from India 🇮🇳  then you must check this website for once.

Details: This is a 32+ hours video online course with over 64+ hours of exercise and project works included.

Online Classroom training is provided in a flexible schedule. If you miss any lecture of your the enrolled batch then you can reschedule your enrollment and join another batch and if this not entertain you then you can also attend only the missed classes in another some course batch.

You will learn about Machine Learning with Python programming, supervised and unsupervised learning, Support Vector Machines, Random Forest Classifiers, best practises of Machine Learning and more through hands-on projects and case studies.

Course overview: This is a very good online course for working professionals as well as all fresh graduates.

This course will cover many topics in machine learning and some topics are:

» Python Environment Setup and Essentials

» Python Language Basic Constructs

» NumPy for Mathematical Computing

» SciPy for Scientific Computing

» SciPy for Scientific Computing

» Pandas for Data Analysis

» Introduction to Machine Learning

» Classification and Logistic Regression

» Decision Tree and Random Forest

» Naïve Bayes and Support Vector Machine etc.

This online course also consists of various hands-on exercise to sharpen your learning and increase your skills with other real-life projects too.

After Completing: After successfully completing this online machine learning course you will get a certificate of competition from Intellipaat.

Rating: 4.2 stars out of 5 stars.
Course duration: depends on you.
Language: English
Timing: Flexible timing.
Take this course: Click Here
FAQs: Click Here

Notice: Please 🙏 make sure that you fit for the course and read every courses pre-requirement before buying any paid course.

Also if you are a beginner then I suggest you take the free machine learning course (there are many) first then buy any paid machine learning course.

So now here comes the best part, if you are not able to spend money then you can also start with free machine learning course because I don't want your study to be stopped because of money.

And i think no one wants to stop their study because of money, so here I'm giving you an easy way to get a paid machine learning course for free.

» To get you online machine learning course online Visit here.

» After that click on the search icon on the top right.

» And search for your desired course like machine learning course, data science for machine learning, Python for machine learning, etc.

It will show you the best courses available on the various online learning platforms (mostly udemy) which you can take free cost.

Working professionals

Artificial Intelligence or machine learning Certification For Working Professionals from udemy is given below.

After taking various machine Learning courses online you can take these course to increase your knowledge and with the practice of what you learned till now will help you to sharpen your work and coding speed and accuracy.

01. Machine Learning Practical: 6 Real-World Applications

Short description: In this course, you can test your skill and can test what you have learned in machine learning and how to implement them in real-world industry challenges with python.

Short Overview: This course is rated by 770 students and its rating is 4.3 stars out of 5.

Created by Kirill Eremenko, Hadelin de Ponteves, Dr. Ryan Ahmed, Ph.D., MBA, SuperDataScience Team, Rony Sulca.

Get More Info: Click Here

2 Feature Selection for Machine Learning

Short Description: This course is made for the feature selection model in machine learning and in this course, you will learn how to select features and build simpler, faster and more reliable best machine learning models.

Short Overview: This course is rated by 476 students and its rating is 4.6 stars out of 5.

Get More Info: Click Here

If your problem is mathematics as you may know that in machine learning your calculation must be strong enough. Get this course which will build a mathematical foundation.

01. Mathematical Foundation For Machine Learning and AI

Short Description: So for knowing the calculation in an easy way this course is highly recommended as this course will build and make you strong enough to learn machine learning in the deep and advanced level without any problem.

Short Overview: This course is rated by 591 students and its rating is 4.2 Star out of 5.

Get More Info: Click Here

Few More Info About ML

Machine learning is available on the some of these institutes in India which offer master courses in artificial intelligence offline:

» University of Hyderabad

» IIT madras

» IIT Bombay

» IISc Bangalore

» ISI Kolkata

» IIT Kharagpur

Here are some of the best universities in abroad offering artificial intelligence courses offline:

» University of Southern California

» University of California

»Georgia Institute of  Technology

» California Institute of Technology

» New Jersey Institute of Technology

Comparison of best machine learning courses

Course Name	Best for	Price
Microsoft Online Course On AI	Beginners (basic to master the AI)	Free
Udacity Online Course On AI	Beginners to Intermediates. (Many Course Available)	Free
Google Machine Learning Course	Beginners to Intermediates. (work specific course)	Free
Python for everybody by the University of Michigan.	Master Python for Intermediates. (Learn full python)	Paid ($40 to $70 p.m.)
Applied Data Science with Python Specialization.	Learn Data analysis for intermediates. (Data science techniques)	Paid ($40 to $70 p.m.)
Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)	Deep Machine Learning for intermediates and advanced. (Learn Python and R)	Paid but Budget friendly (somewhere around $10)
Machine Learning Specialization	Machine learning for intermediates and advanced.( Neural Networks and deep learning)	Paid ($40 to $70 p.m.)
Deep Learning Specialization	Deep Actions in machine learning for advanced students or working professionals.	Paid ($40 to $70 p.m.)
Introduction to Python	Interactive Python course for beginners to intermediates.	Paid ($25 p.m. or $250 p.y.)
MicroMasters® Program in Artificial Intelligence (edx)	Understanding of the guiding principles of AI for intermediates.	Paid ($50 to $300 full course price)
Intro to Machine Learning Nanodegree Program (Udacity)	Nano Degree program for fresh graduates.	Paid ($200 p.m. )
Machine Learning Course Online using Python	Learning and training of Python for intermediates.	Paid.
Machine Learning Practical: 6 Real-World Applications	For advanced student who want to sharpness their knowledge.	Paid but Budget friendly (somewhere around $10)
Feature Selection for Machine Learning	Only and specific course for feature selection in machine learning.	Paid but Budget friendly (somewhere around $10)
Mathematical Foundation For Machine Learning and AI	For those who wants to build strong command on mathematics.	Paid but Budget friendly (somewhere around $10)

Job opportunities

There is a large scope of Machine Learning or AI in developing the machines in game playing, speech recognition machine, language detection machine, expert systems, robotics, etc.

There are job openings at public and private sectors which are American Association for artificial intelligence, European coordinating committee for artificial intelligence and many more the different job titles include game programmer, robotics, data scientist, computer scientist, software engineer etc.

Conclusion:

I hope you liked my hard work and i invested endless time on this article just to provide you the best possible lists of best machine learning and deep learning courses online and offline both.

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● International Payment and PayPal

FactZone:

The invention of machine learning - 1950.

The invention of artificial intelligence - 1956

But machine learning is a part of artificial intelligence.

Be happy be the game changer.

Author of this article: Vishal