Are you looking for guidelines for the Best Artificial Intelligence Course Online? With the list of the Best Artificial Intelligence Tutorial and Certification 2019 you will become a pro on Artificial intelligence.
Al is the broad branch of computer science. The goal of Al is to create a system that can function intelligently and independently.
The tech industry becomes the pick because it works with artificial intelligence. People who want to part in this surely grow in future. How to get started with the artificial intelligence, a lot of thinking running through your mind.
These best online courses are offered to everyone.
12 Best Artificial Intelligence Course Online, Tutorial & Certification 2019
Now we are living in the world of Al. We all want to something achieve in life but not like other. We want to do it different ways from others. If you want to build your career in this competitive industry then learning artificial intelligence is the proper way to reach your destination.
Artificial intelligence is the software program that will automate cognitive processes in science, technology, and business and other fields. So it is very important in our life in this era.
In our modern world, everything is growing more technology-based with the help of artificial intelligence. You can earn a lot of money acquiring the skills of Al.
1. Machine Learning Bootcamp: Become a ML Engineer in 6 months. Job Guaranteed.
The experts predict that
• The global machine learning (ML) market is estimated to grow from $1.4 billion in 2017 to $8.8 billion by 2022. (Source Research and Markets)
• AI is projected to create 2.3 million jobs by 2020. (Source: Gartner)
• From 2015 to 2018, the number of AI-related job postings on Indeed increased by 119 percent. (Source: Indeed)
• Machine learning is the most in-demand AI skill. (Source: Indeed)
The average salary of machine learning engineers is between $125,000 and $175,000. The highest -paying companies for Al engineers start above $200,000 a year.
The purpose of this course is to provide on filling the gaps in the current job market and helping people around the world achieve their career goals through accessible, flexible, lifelong learning.
People who want to become machine learning engineers this advanced course is suggested for them. People who have strong software skills and industry experience highly recommended doing this online course.
This course works in some different module
- Cost and Schedule: This course is a fully online course with a flexible schedule. It takes 6 months to complete. The per most cost is $900.
- Enrollment: If you want to start this course then before a few weeks ago starting this class you have to enroll in this course. The enrollment process is not open firstly you have to wait for it.
- Mentor- matching process: After enrolled in this course you get the opportunity to select your mentor according to your preferences and the skills you want to develop.
- A curriculum curated by experts: The curriculum of this course packed with quality Al and machine learning resources. Some of handpicked from around the web by industry experts and others that are created by springboard. Then resources will build into a curriculum that includes projects and quizzes.
- A springboard support team: support team includes a student advisor, mentor, community manager, and career coach.
- Career services: The curriculum sections of this course cover the career material that will guide the students through their job search.
- Certification: After completing this course properly with submitting a project you will get a certificate of completion.
- Job guarantee: This course offers you a job guarantee within 6 months after the course completing or you will get your money back.
Syllabus: This course takes 400 hours to complete. You will teach them the foundations of machine learning and deep learning. You will learn how to implement them at scale.
2. Machine Learning
When people heard the name of machine learning there are different types of thoughts cross their mind. They are confused about which code is given then the proper knowledge of machine learning.
Here is the machine learning course the perfect course for the beginner. This will be a great course to get started on the machine learning journey. This machine learning course offered by Stanford.this course also be the best course for anyone who has no previous knowledge in machine learning.
about 40% of students get a new career after completing this course and 37% got a tangible career benefit from this course. The course rating is 4.9 which is good enough to understand the importance of this course.
This machine learning course is a fully online course with fixable deadlines. It takes approximately 55 hours to complete. This tutorial course also provides financial aid. students who cannot Afford to pay the tuition fees do this course.
Andrew Ng is the instructor of this course. He is also a great instructor. Form him students learn everything that they need to know and will understand the practical side of machine learning.
From this machine learning course, you will learn the skills of logistics regression, artificial neural network, machine learning algorithms, and machine learning.
This machine learning Introductory course you to understand the basics of machine learning and you will understand the core algorithms. You will also provide the knowledge when you will be Confident to dive deeper into the field to apply machine learning to solve different problems With some superficial understanding.
In this machine learning course, you will teach how to give trained data to a program and get better results for data complex problem. Data timing is a very important term that you learn from this course. Doing this machine learning course you will gather the idea of statistical pattern recognition.
3. Artificial Intelligence A-Z™: Learn How To Build An AI
The course is all about the combine the power of data science machine learning and deep learning to create powerful AI for real-world applications.
This artificial intelligence course provides 16 hours on-demand video, 14 articles, full lifetime access and Access on mobile and TV and certificate of completion.
About 80295 students enrolled in this course and rated it 4.4.this course is offered for the students who are interested in artificial intelligence machine learning or deep learning.
For doing this course you have basic knowledge of Python.
From this course, you learn how to build an AI and understand the theory behind artificial intelligence.
This online course teaches you how to make a virtual self-driving car and make an AI beat game. English course available to solve the real world problems with you lie and master tested after all models.
4. Machine Learning, Data Science and Deep Learning with Python
Machine learning is often incorporated into data science. Data science is a field of providing meanings information based on a large amount of complex Data. If you have high-level math skills you will become familiar with the fundamental concepts of machine learning data science and deep learning with Python.
This course offered for the software developer’s and programmer who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
In this course, you will learn how to get artificial neural network with Tensorflow and Keras.solve flow is an open source software library for data flow programming across a range of tasks.
This course is a very important course in machine learning. It creates a good opportunity for programmers who are willing to learn new skills of python. Doing this course previous experience in coding is needed.
This course covers 12 hours on demand video 3 articles full lifetime access Access on mobile and TV certificate of completion. About 83,028 students take this course and Rated it 4.5.
Sundog Education by Frank Kane is the joining the world in big data and machine learning and Frank Kane is the founder of Sundog Education. This course instructed by them.
From this course, you will learn how to make predictions using linear regression polynomial regression and multivariate regression. You will also teach how to classify image data and sentiments using deep learning.
In this course, you will understand reinforcement learning and how to build a Pac- Man-bot. Will able to build a movie recommender system using an item based and user-based collaborative filtering.
5. Machine Learning Specialization
This is the series specialization course and helps a learner to master a skill. Specialization includes a hand on the project and completing this course you will earn a certificate. That will help you to play a vital role in your professional work Field.
Machine learning specialization is the specialization courses. This course is offered by the University of Washington. The purpose of this course is to build intelligent applications. Also, teach the learner the master machine learning fundamentals in four hands-on-courses.
You will come to know the major areas of machine learning about prediction, classification, clustering and information retrieval. Moreover, you will learn to analyze large and complex datasets that will help you to create intelligent applications make predictions from data.
This is the fully online course with the flexible schedule. This course designed for the intermediate level learner and it takes approximately 8 months to complete.
Financial aid is also offered for this course. If any students cannot afford the tuition fees but interested in learning take this course. The instructors of this course are Carlos Guestrin and Emily Fox. Both are the Amazon professor of machine learning.
From this course, you will gain the skills of data clustering algorithms, machine learning, classification algorithms, and decision tree.
a. Machine Learning Foundations: A Case Study Approach
Machine learning foundations are the course part of the machine learning specialization. This course will be very helpful for a beginner and it provides a good foundation for the specialization and the advanced courses. As a beginner, you will learn the basics of machine learning so this course highly recommended to the beginners.
After successfully completing this course 33% of the students started a new career and 29% of students got a comprehensive career benefit from this course. The course rating is 4.6. this course takes approximately 24 hours to complete.
Doing this online course you will gain the skills of Python programming machine learning concepts machine learning and deep learning. This course is suggested to the learner who wants to learn how to implement machine learning models, how to train data to make out of machine learning.
In this course, the section of the case study approaches the students will teach the different concepts of machine learning. This section also provides the idea of the practical implementation of these concepts of real life.
b. Machine Learning: Regression
Regression is a statistical approach to find the relationship between variables. Regression is used in machine learning. It’s used to the outcome of an event. Doing this course you will be able to handle very sets of features select between models of various complexity.
Completing this course 41% of the students student in your career after completing this process and 40% k actual career benefit. About 17% of the students got a pay increase or promotion. The course rating is 4.8 and it takes to complete an approximate 36 hours.
In this course, the students will acquire the skills of linear regression, ridge regression, lasso regression and regression analysis. This course covered all regression concepts. That will help you to know the detail presentation of concepts and techniques of the traditional regression approach that are most important in today’s machine learning world.
c. Machine Learning: Classification
This is the good course of classification. Classification classified one of two or more classes. This course is also a part of machine learning specialisation. From this course, you will learn how to create classifiers that provides state of the art performance on variety tasks. This course teach you overall ideas and depth knowledge in classification.
Logistic regression, statistical regression, classification algorithms, decision tree you will learn the skills of from this course. You can also understand that classification also have a real-valued or discrete input variables. A problem with two classes is often called in two-class classification problem.
Finishing this course about 48 of% students started a new career and 46% students got a tangible career benefit from this course. Also, 13% of the students got a pay increase or promotion. The course rating is 4.7 and it takes approximately 42hours to complete.
d. Machine Learning: Clustering & Retrieval
Clustering and Retrieval is the course that part of machine learning which is included in the machine learning specialisation course. Is the last course of specialisation. It is a great course to cover the techniques of retrieval data.
About 35% of students start a new career after completing this courses and 36% in tangible career benefit from this course. The course rating is 4.6 and it takes approximate 47 hours to complete.
From this course, you will learn the skills of data clustering algorithms k means clustering machine learning KD tree.
6. Understanding Machine Learning
This online tutorial offers 10 days free trial so if you are not interested to continue then within these days you can drop this course. This tutorial course is rating around 4.5. This course takes 39 minutes to complete.
This machine learning online course completely designed for the beginners. So there is no prior knowledge is required to do this course.
This machine learning course is designed by David Chappell. He is the Principal of Chappell & Associates in San Francisco, California. David has been the keynote speaker for more than a hundred events, and his seminars have been attended by tens of thousands of people in forty-five countries. He is also the instructor of this course.
From this course, you will learn the basics understanding machine learning. During this the machine learning process, you will teach all the topic that you need to know.
You will learn how to explore the open source programming language R, learn about training and testing a model as well as using a model. After completing this course properly you will have a clear understanding of exactly what machine learning is all about.
7. Artificial Intelligence: Reinforcement Learning in Python
People who wants to learn about artificial intelligence data science machine learning and deep Learning is the course for them. This course offered both students and professionals.
Purpose of this artificial intelligence course is to provide the learner the complete guide to artificial intelligence and machine learning. Besides prepare the students for deep reinforcement learning.
This online course includes 8 hours on demand video, full lifetime access Access on mobile and TV and certificate of completion.
About 21 397 students enrolled in this course and rated it 4.5. For doing this course you have the idea about calculus, probability, Markov models and the Numpy Stack.also you need to have experience with at least a few supervised machine learning method.
Besides, you need to have a gradient descent and good object oriented programming skills. This tutorial course is created by Lazy Programmer Inc. He is the data scientist and big data engineer also an instructor of this course.
With the help of this course, you will learn how to make the things work in Python. The instructor introduced you to the various way how to approach reinforcement learning problems and explain all the complex mathematics easily.
In this course, you will teach how to apply gradient based supervised machine learning method to reinforcement learning. You will understand reinforcement learning on it technical level.
From this course, you will also understand the relationship between reinforcement learning and psychology and implement 17 different reinforcement learning algorithms.
8. Natural Language Processing with Python Certification Course
According to Forbes natural language processing to help artificial intelligence market to be greater than $60 Billion buy 2005.
IBM Microsoft corporation, Nuance communications healthy fertility have a high demand for NLP experts.
As per hindi.com main salary of NLP professional is $128,857.
Natural language processing with Python course is very important in the modern world. From this statistical, you understand that. If you think this course is also very helpful to you highly suggested to do this course.
The course waiting is 4.5 .
Anyone who wants to work with data and text with good analytic background and little exposure to Python programming language recommended to do this course . This course basically designed for them. Doing this course the learner will understand the importance concept and technique used in natural language processing using Python programming language.
In this course, you will able to build machine learning models for text classification.at the end of the course you will be provide various practical use cases of NLP in Python programming language to explore your learning experience.
From this course, you will learn new advanced technologies from home with real time scenarios.
This online course teaching various concepts such as Tokenization, stemming, Lemmatization, POS tagging, named entity recognition, syntax tree passing.
It has 18 hours of online instructor classes, real life case studies assignments lifetime access expert support .
An after successfully completing this course you will get a certificate.
9. The Beginner’s Guide to Artificial Intelligence in Unity.
This course is all about a practical guide to programming non player characters for games.
This online courses offered for anyone who are interested in learning how to program there on non player characters. People who are interested in seeing how artificial intelligence is applied in computer games recommended to do this course.
For doing this course you need to be familiar with C# and the unity game development engine. This course arranged 9 hours on demand video 11 articles 46 downloadable resources full lifetime access Access on mobile and TV and certificate of completion.
This course is designed by Penny de Byl . He is the international award winning professor and best selling author. She is instructed on this course. About 12127 students take this course and rated it 4.6.
From this course, you will teach how to design and program NPCs with C# in Unity. You will learn how to explain Al how to apply it in computer games.
You will come to know how to implement AI related Unity asset plugins into an existing project.
Finally, you will able to work with a variety of al techniques for developing definition and decision making abilities in NPCs.in a lot about how artificial intelligence is achievable through vector calculation know the basic operation of mathematics.
10. Deep Learning: The Big Picture
This online tutorial offers 10 days free trial so if you are not interested to continue then within these days you can drop this course. This tutorial course is rating around 5.00 This course takes 1 hour 27 minutes to complete.
The motive of Deep learning provides the students to teach machines without explicit programming. From this course, you will learn about the fundamentals of deep learning and its working process.
If you are confused about deep learning this course also teach you how to start with it. Deep learning is all about a form of artificial intelligence that allows machines to learn how to solve complex tasks without being explicitly programmed.
First, you will come to know of deep neural networks with tools like TensorFlow and the Microsoft Cognitive Toolkit. Then you will touch on how they are trained, by example, using data.
At the end of the course, you will be provided with a high-level understanding of the key concepts, vocabulary, and technology of deep learning.
After successfully completing this course you will understand overview about deep learning is, importance and how it will impact business and the world.
This machine learning online course completely designed for the beginners. So there is no prior knowledge is required to doing this course.
This deep learning course is designed by Matthew Renze. Matthew is a data science consultant, author, and international public speaker. He is also the instructor of this course.
11. AI & Deep Learning with TensorFlow
Google stakes it’s future on a piece of software: Tensorflow – MIT. And tensorflow is used heavily in the Google speech recognition system.
the purpose of this course is teach the learner how they will get an introduction to deep learning and understand how deep learning solve the problem with machine learning cannot.win this course you will understand the fundamentals of machine learning and relevant topics of linear algebra and statistics.
The course rating is 4.5. doing this course you will master the concepts and softmax function autoencoder neural networks restricted boltzmann machine and work with libraries like keras and TF learn.
This course provide 13 hours of online life instructor LED classes, real life case studies assignments lifetime access expert support and certificate of completion.
Cloudxlab also provided to ensure the learner real time handsome experience to practice their new skills on a pre configured environment.
12. Advanced AI: Deep Reinforcement Learning in Python
This advanced artificial intelligence course provide the complete guide to mastering artificial intelligence using deep learning and neural networks. This course offered 8.5 hours on demand video, full lifetime access Access on mobile and TV and certificate of completion.
About 200 30 students choose this course and rated it 4.7. this course highly recommended to the professionals and students with a strong technical background who is to learn a state of the art Al techniques.
This tutorial course is created by Lazy Programmer Inc. He is the data scientist and big data engineer also ithe nstructor of this course.
For doing this course you need to have previous experience in building machine learning models in Python and Numpy. Also, you have to know reinforcement learning basics MDPs, dynamic programming Monte Carlo TD learning
Also, have the knowledge of calculus and probability at the undergraduate level and also know how to build a feet forward convolutional and recurrent neural network using theano and tensorflow.
From course you will learn how to build various deep learning agents and to apply a variety of advanced reinforcement learning algorithms to any problem.
This course also teach you Q learning with neural Networks and policy gradient method with neural networks.
you will also learn reinforcement learning with rbf network and able to use convolutional neural networks with deep q learning.
All of the courses provided the best study materials to the learners. Here all the best artificial intelligence course online, tutorial and certification 2019. Whatever you want to learn from these courses you can choose for your preferred one.
Wishing you happy learning.
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