If you’ve invested a bit of time observing or studying modern technology, then you’ll surely come across Artificial Intelligence (A.I.). In layman’s terms, it is the ability of machines to extract and interpret data to perform various tasks and make meaningful decisions.
These days, you may find that there is a hype around Artificial Intelligence in the technology space for various reasons. For one, it offers diverse career opportunities such as Machine Learning Engineer, Big Data Engineer, Business Intelligence Developer, Data Scientist, Product Manager, A.I. Engineer, Research Scientist, Robotics Scientist, etc.
With such a wide range of career opportunities for people, there’ll be an increase in the participation and involvement of the public in technology. And since human resource is the greatest enforcer of development in any field, Artificial Intelligence is expected to transform the entire modern technology industry.
Today, Artificial Intelligence is used everywhere, from basic electronics to hospitality. For example, various personalized online shopping websites use A.I.-backed algorithms to attract more buyers and provide excellent recommendation systems.
In addition, fintech companies use Artificial Intelligence to tackle issues and gather all fraud cases using different identification patterns.
Also, top companies in the industries such as Google, Facebook, Amazon, Apple, Deepmind, Casetext, and DJI use Artificial Intelligence and hire professionals for positions related to Artificial Intelligence.
More so, various skills are required for the tech role in Artificial Intelligence; some are Computer Science, Mathematics, Networking, Engineering, Physics, Robotics, Cognitive Science Theory, etc.
If you want to become an Artificial Intelligence Engineer but don’t know about the courses, skills, Job role, or salary offered, then you are at the right place and time.
So bookmark this page as we will cover every detail of Artificial Intelligence in this post of Best Artificial Intelligence Courses 2022.
Here are your best 10 Artificial Intelligence courses.
So this is the first course in our list of the best artificial intelligence courses for 2022. In this program, you will learn the essentials of Artificial Intelligence, its concepts from A.I. experts like Peter Norvig and Sebastian Thrun, planning, pattern recognition, and many more.
You can enroll and access the entire course for $923.49. However, you can also pay $307.83 per month and access the course part-wise.
The Overall duration of the course is 3 months, and you have to dedicate 15hrs per week to the program for learning after enrollment.
This Nanodegree program requires hands-on experience with statistics, linear algebra, and Python (OOPs). Concepts that will be mainly covered in this course include:
Course Details:
Artificial Intelligence is not only used by engineers but is also used by various organizations to advance in the field of technology. This is the idea of the course Artificial Intelligence for everyone offered by deeplearning.ai.
In this course, you will learn the ethical and societal discussion about A.I., work with an A.I. team and build a strategy for your company, and spot opportunities to apply A.I. to various fields in your organization.
This Coursera A.I. for everyone course offered by deeplearning.ai is free. However, you may have to pay for the graded assignments and verified certifications.
The overall duration of this Artificial Intelligence for everyone course offered by deeplearning.ai is approximately 6 hours.
After the completion of the course, you will gain various skills such as Workflow of Machine Learning projects, A.I. terminology, A.I. Strategy, and Workflow of Data Science projects.
Course Details:
This Udemy Artificial Intelligence A-Z: learn how to build an A.I. enables you to learn to build an A.I., understand the theory behind Artificial Intelligence, make a self-driving car, Make A.I. beat games, Q-learning, Deep Q-Learning, Deep Convolutional Q-Learning, and solve some real-world problems.
The price of this Artificial Intelligence A-Z: Learn how to build an A.I. is $116.82. However, this course is offered at just $4.87 for a limited time.
The overall duration of this Artificial Intelligence A-Z: Learn how to build an A.I. course in 16h 30m. There are 19 sections containing 120 lectures about various concepts such as Machine Learning, Deep Learning, and Data Science.
Elementary or high school level maths and basic Python programming knowledge is the prerequisite of this course. You will get an idea of combining the power of Data Science, Machine Learning, and Deep Learning to create powerful A.I. real-world applications.
Course Details:
This is not a video course; it’s a kind of blog for the beginner who wants to learn A.I. It is a series of free online courses created by Reaktor and the University of Helsinki. Various courses combine theory and practical exercises to make you understand the concepts clearly.
There are two parts to the Elements of A.I.:
This course is for everyone who is just interested in the field of technology and science. In this course, you will learn about Artificial Intelligence, its possibilities, its effect on our lives, and many more. No programming background is required for this course.
Let’s get a brief look at the chapters in this very course:
1. What is A.I.?
2. A.I. problem solving
3. Real-World A.I.
4. Machine Learning
5. Neural Networks
6. Implications
This course is for tech geeks or tech enthusiasts who want to learn A.I. and build a final product from it. This course will teach you about various A.I. algorithms to make A.I. methods possible. Prior programming knowledge of Python language is required in this course.
Let’s get a brief look at the chapters in this very course:
1. Getting started with A.I.
2. Dealing with uncertainty
3. Machine Learning
4. Neural Networks
5. Conclusion
Note: Each of the chapters has various sections along with exercises.
Course Details:
This is one of the best-selling programs of Machine Learning and A.I. on upGrad. In this P.G. Diploma in Machine Learning and A.I. course, you will learn various A.I. skills such as Deep Learning, NLP, and Reinforcement Learning and work on real industry projects.
This course covers 20 crucial tools, languages, and libraries: Python, Keras, Tensorflow, MySQL, NLTK, RASA, etc.
The price of this P.G. Diploma in Machine Learning and A.I. is $3852.52. However, you can enroll in this course with a monthly plan starting at $134.24. Also, there is no cost EMI option available for this course.
The overall duration of this P.G. Diploma in Machine Learning and A.I. is 12 months. Dedicating at least 15 hours per week to the program is recommended. They have more than 300 hiring partners in collaboration with them.
This P.G. Diploma in Machine Learning and A.I. course is specially designed for professionals. It includes more than 450 hours of learning, 30+ case studies and assignments, and 10 practical hands-on capstone projects.
In addition, there are live coding sessions and profile-building workshops, which will help you with job and placement assistance.
Course Details:
In this Post Graduate Program in A.I. and Machine Learning, in collaboration with an IBM course, you will learn Python, Statistics, Deep Learning Networks, Machine Learning, NLP, and Reinforcement Learning.
This course is ranked 1st in A.I. and Machine Learning courses by TechGig. It’s a complete certification program that will prepare you to work on technologies related to Artificial Intelligence.
The price of this Post Graduate Program in A.I. and Machine Learning course is $3107.51, excluding GST. Also, they have partnered with various financing companies to provide No cost EMI facilities financing as low as $107.05 per month.
The overall duration of this Simplilearn PG Program in A.I. and Machine Learning is 12 months. So dedicating 10 hours per week to the program after enrollment is recommended.
You will also get the Purdue Alumni Association Membership, industry-recognized IBM certificates, and Purdue Post Graduate Program certificate, which sounds interesting. However, they will help you to get noticed by top hiring MNCs.
Some details of the syllabus covered in this program are:
Electives:
Course Details:
In this Design the Future MicroMasters Program in Artificial Intelligence offered by Columbia University, you will learn to understand the guiding principles of A.I.
You will apply concepts of Machine Learning to real-life problems and applications. You will also learn and harness the power of Neural Networks. And you will work on broad applications of A.I. in vision, physical simulation, and robotics.
The price of this edX ColumbiaX’s Artificial Intelligence MicroMasters course for the entire program experience is $996.91. The instructors are from Columbia University (ColumbiaX) and are committed to teaching online.
More so, the duration of this edX ColumbiaX’s Artificial Intelligence MicroMasters program is 1 year. Dedicating 10 hours per week to the program after enrollment is recommended.
Let’s get the program overview and the list of the courses in this program –
1. Artificial Intelligence
2. Machine Learning
3. Robotics
4. Animation and CGI Motion
5. Certificate and Credit Pathways
6. Job Outlook
Four graduate-level courses, instructor-led assignments, and exams have specific due dates.
Course Details
In this Machine Learning, Data Science, and Deep Learning with Python, you will get complete hands-on machine learning tutorials in Tensorflow, neural networks, data science, and artificial intelligence. Frank Kane, one of the most popular course creators on the platform, created this course.
The price of this Udemy Machine Learning, Data Science, and Deep Learning with Python course is $116.78. However, this course is offered for just $4.87 for a limited period.
The overall duration of this course is 14h 14m. There are 12 different sections and 111 broad lectures on the main concepts.
Prior knowledge of elementary-level mathematics and Python programming is required for the course. After completing the course, you will learn to build a movie recommender system using item-based and user-based collaborative filtering. Also, you will design and evaluate A/B tests using T-Tests and P-Values.
The practical projects in this course will enhance your practical experience and skills in Machine Learning, Deep Learning, and Data Science.
Course Details:
In this Experfy Introduction to Artificial Intelligence course, you will better understand the basics of Artificial Intelligence and its various facets. You will learn to select the most suitable intelligent agent approach in a practical scenario.
The course curriculum is of 5 modules:
1. Introduction
2. Intelligent Agents
3. Key Concepts of A.I.
4. A.I.: Present and Future
5. A.I. Applications
The price of this Experfy Introduction to Artificial Intelligence course is $99. The instructor of this course is Dr. Yogesh Kulkarni, who has a Ph.D. in Geometric Modeling and 16+ years of experience in it.
The course has 3+ hours of content that will explain the basic idea behind A.I. and its applications. In addition, each module has various lectures explaining all the details of the concepts.
You will also receive an industry-recognized certificate upon completion of the course.
Course Details:
In this Edureka Post Graduate Program in Artificial Intelligence and Machine Learning course, you will master:
This course is in collaboration with E and ICT Academy NIT Warangal. The institute ranks 4th among various NITs by NIRF.
The price of this Edureka Post Graduate Program in Artificial Intelligence and Machine Learning is $3004.80. You can also pay $194.62 per month and enroll in the course.
The overall duration of this P.G. Program in A.I. and ML course is 9 months, and all the classes will be conducted live on weekends. Also, dedicating 10 hours of commitment to the program is recommended per week.
Realistic industry projects in this course are –
Course Details:
In this Artificial Intelligence on Microsoft Azure: Machine Learning and Python Basics course, you will develop A.I. and Machine Learning skills using Python and Microsoft Azure. CloudSwyft creates this course in partnership with Microsoft. Skills you will learn in this course –
This FutureLearn Artificial Intelligence on Microsoft Azure: Machine Learning and Python Basics course costs $694.
The overall duration of this FutureLearn Artificial Intelligence on Microsoft Azure: Machine Learning and Python Basics course is 15 weeks.
After completing the course, you will earn a digital certificate of completion for each course. In addition, you will learn various things at the end of this micro-credential that will help you advance your career in Artificial Intelligence.
Course Details:
Master the Fundamentals of A.I. and Machine Learning course teaches you how leading companies use A.I. and Machine Learning to change the way of business. So you get to learn how Artificial Intelligence addresses accountability, security, and explainability issues.
Completing this course will give you a clear idea and understanding of Artificial Intelligence and Machine Learning.
Now, let’s see the sub-courses in this Master the Fundamentals of A.I. and ML course:
On completing all these sub-courses, you will earn a badge of completion.
The price of this course is $18.89 per month with estimated tax excluded. In addition, there is an annual plan in which you must pay $12.14 monthly. You can also start your free trial for a month on LinkedIn Learning to get an overview of the courses.
The overall duration of this Master the fundamentals of A.I. and Machine Learning course is 12 hours.
Course Details:
Below are a few A.I. Bootcamp to check out.
In this Artificial Intelligence Bootcamp 44 projects Ivy League Pro course, you will learn to code for image recognition, handwriting recognition, data analysis, and create recurrent neural networks. You will also learn Matplotlib, Machine Learning, NumPy, and TensorFlow pro. In addition, you will learn to use A.I. for science and business.
The price of this Artificial Intelligence Bootcamp 44 projects Ivy League Pro course is $116.63. However, one can get this course at just $4.87 for a limited period.
The overall duration of this course is 13h 24m. It contains 6 sections and 74 lectures overall. Prior programming experience in Python Language is required, along with Statistics.
The instructor of this course is Gopal Shangari, a Senior Software Engineer at Udemy. The course comes with a 30-day money-back guarantee.
Course Details:
Build Job-ready skills, develop a professional portfolio, and launch your dream career with the help of Springboard Machine Learning Career Track: Become an ML Engineer in Six Months Bootcamp.
In this course, you will master the foundations of Data Science and choose your focus areas, such as Advanced Machine Learning, Natural language Processing, or Deep Learning.
The price of this Springboard Machine Learning Career Track: Become an ML Engineer in Six Months Bootcamp is $2631.17. This course is also one of India’s AI/ML programs with a job guarantee.
The overall duration of this Springboard Machine Learning Career Track: Become an ML Engineer in Six Months Bootcamp is approximately 6 months. You will have to dedicate at least 20 hours per week after enrollment.
There are 14 real-world projects, of which 2 are industry-worthy capstone projects to showcase in your portfolio.
The curriculum of this course is divided into 9 units –
1. Overview of A.I. and Machine Learning Engineering Stack.
2. Data Wrangling at Scale and Statistics for A.I.
3. Foundations of Machine Learning.
4. A Deep Dive into Deep Learning.
5. A.I. Case Study 1: Natural Language Processing.
6. A.I. Case Study 2: Computer Vision
7. Building and Deploying Large Scale A.I. Systems.
8. Capstone Project.
9. Career Support.
Course Details:
In this Udacity AI Programming with Python Nanodegree Program, you will learn Python, NumPy, pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra. You will build the foundation for your neural network. You will discover various A.I. fundamentals in this course.
Let’s see the concepts and topics of A.I. covered in this course –
1. Introduction to Python
2. Jupyter Notebooks, NumPy, Anaconda, pandas, and Matplotlib
3. Linear Algebra Essentials
4. Calculus Essentials
5. Neural Networks
The price of this Udacity AI Programming with Python Nanodegree Program is $924.92. However, you can enroll in the course by paying $308.31 monthly.
The overall duration of this Udacity AI Programming with Python Nanodegree program is 3 months. Therefore, setting apart at least 10 hours per week for the course for better understanding is recommended.
This course requires basic knowledge of Python Programming language and algebra. In addition, there are real-world projects from industry experts and technical mentor support who will guide you throughout and provide valuable practical experience.
Course Details:
Here are a few top masters/universities for Artificial Intelligence.
This online MSc in Artificial Intelligence program offered by the University of Bath is best for beginners and tech enthusiasts who want to explore the challenges and possibilities of Artificial Intelligence.
The program provides interactive online learning with engaging video content, real-life case studies, networking, and comprehensive digital resources.
This artificial Intelligence Program will provide you with the perfect balance of theoretical concepts and practical knowledge to apply in real-world processes and systems.
This is a kind of Master’s degree program, and you will receive a graduation certificate after completing the course.
This program is brought to you by MIT Sloan School of Management, MIT Computer Science, and Artificial Intelligence Laboratory. There are six modules in this program, as follows:
MODULE 1 – An Introduction to Artificial Intelligence
MODULE 2 – Machine Learning in Business
MODULE 3 – Natural Language Processing in Business
MODULE 4 – Robotics in Business
MODULE 5 – Artificial Intelligence in Business and society
MODULE 6 – The Future of Artificial Intelligence
Check out these free A.I. courses for beginners below.
In this Coursera Introduction to Artificial Intelligence course offered by IBM, you will learn about Artificial Intelligence, its cases, and applications. You will also understand various Artificial Intelligence concepts such as Machine Learning, Deep Learning, and Neural Networks.
The price of this Coursera Introduction to Artificial Intelligence course is free. However, you may have to pay for the verified certification.
Also, the overall duration of this Coursera Introduction to Artificial Intelligence course is approximately 8 hours. And after completing the course, you will gain valuable skills such as Data Science, Deep Learning, Artificial Intelligence, Machine Learning, Jobs in the market, etc.
You will be able to describe several issues and ethical concerns surrounding A.I. and get advice from experts about learning and starting a career in Artificial Intelligence.
Course Details:
This course is a part of the DeepLearning.ai TensorFlow Developer Professional Certification course.
This course is best for beginners and professionals who want to build scalable Artificial Intelligence-powered Algorithms. This course will teach you the best practices for using TensorFlow, a popular open-source framework for machine learning.
The price of this Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning course is free. However, you may have to pay for the verified certification.
The overall duration of this Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning course is approximately 30 hours. It is the first course of the DeepLearning.ai TensorFlow Developer course.
After completing this course, you will gain valuable Machine Learning and TensorFlow skills, which are very useful in understanding the basics of neural networks.
Course Details:
In this course, you will learn everything you need to know to face the upcoming wave of Artificial Intelligence Automation. This is just a beginner course and will make you learn and aware of –
Preparing Your Career for A.I. has a duration of 47m with 7 sections and 14 lectures overall. Matthew Renze will be your instructor for this course; he is a data science consultant, author, and public speaker. Also, the price for the course is free.
Course Details:
In this edX CS50’s Introduction to Artificial Intelligence with Python course, you will learn to use Machine Learning in Python. This course is presented to you by Harvard University. This course is a part of the Professional Certificate.
In this course, you will learn –
This edX CS50’s Introduction to Artificial Intelligence with Python course is Free. However, you may have to pay some fee for the verified certificate.
The duration of this edX CS50’s Introduction to Artificial Intelligence with Python course is 7 Weeks. 25-30 hours to the program after enrollment is recommended. Remember, this is a self-paced course; you can finish it as soon as per your requirement.
You will also learn frameworks that enable these technologies and gain practical experience whi
le working on them.
Course Details:
This Google Machine Learning Crash Course with TensorFlow API course is the best self-study guide for beginners who want to explore and learn about Machine Learning and its applications in Artificial Intelligence.
This Google Machine Learning Crash Course with TensorFlow API course is free, and the overall duration of this Machine Learning crash course with TensorFlow APIs is 15 hours. Also, more than 30 exercises will brush up your concepts and 25 lessons.
In this crash course, you will learn from Google researchers. You will get to work on real-world case studies with interactive visualizations of algorithms in action.
Course Details
Here are the best books to read if you’re interested in learning about A.I.
This book is the long-anticipated revision of the rank 1 selling book; it offers the most comprehensive, state-of-the-art introduction to the theoretical and practical approach of Artificial Intelligence for modern applications.
This book is a comprehensive guide for beginners to develop Artificial Intelligence applications independently. Prior experience in Python programming and statistical knowledge is required to gain more understanding from this book.
This book will provide a glimpse of the most trending topics of Artificial Intelligence, such as IoT, Dietary Advice by AI, Hacking AI, A.I. as Sports Referees, A.I. and Big Data, Seminal Inventions, etc.
In this book, you will learn various concepts of Artificial Intelligence and Machine Learning that have been in practice for over the years in the world of technology.
1. Artificial Intelligence Tutorials for Beginners – Edureka
2. Artificial Intelligence Tutorials Intellipaat
3. Artificial Intelligence Tutorials Videos
Artificial Intelligence Blog posts
1. Understanding Artificial Intelligence
2. Top 5 A.I. blogs to follow in 2020
3. A.I. Trends
Becoming a successful Artificial Intelligence Engineer is a process, and the process starts with learning. How do you learn? Well, contrary to popular belief, experience is not the best teacher, a good Artificial intelligence is. With a good Artificial intelligence course, your bed is already half-made.
However, on the off chance that you’re still uncertain how beneficial learning about AI is, you should know why exactly AI and all technologies related to it are on the boom.
As aforementioned, there are multiple careers in Artificial Intelligence, such as Big Data Engineer, Business Intelligence Developer, Data Science, Machine Learning Engineer, Research Scientist, A.I. Data Analyst, A.I. Engineer, and many more.
The packages offered on all the tech roles or positions related to Artificial Intelligence are still above the market average. Every big or small MNC, product-based startup, or Fintech company is using Artificial Intelligence to boost its revenue, and that’s why the demand for A.I. professionals is also snowballing.
We’ve successfully examined a number of courses in this post; you can choose one or more for theoretical and practical information per your requirement. However, it is worth noting that you can only make meaningful progress in your journey to becoming a successful A.I. Engineer by participating in A.I. related tasks and completing projects.
Therefore, the more you work on projects, the higher your understanding will increase. Once you’re armed with enough confidence in your knowledge of Artificial Intelligence and Machine Learning, it’s time for you to start your interview preparation.
Some courses are curated specifically to guide you in performing excellently in any of the Machine Learning/ Deep Learning/ Artificial Intelligence interviews. Additionally, you can do some specialization courses to get an edge over others.
Finally, In your path to becoming a successful Artificial Intelligence Engineer, always keep the within your line of sight the A.I.-related blog posts, tutorials, Handbooks, and most definitely, your preferred courses.
The responsibilities of an Artificial Intelligence Engineer need to be stated in the job role. However, some are converting various machine learning models into application program interfaces or APIs to be used by other applications.
So, the A.I. Engineers build Data Ingestion and Data transformation infrastructure and automate infrastructures used by the data science team. They also set and manage A.I. development, product infrastructure, and many more.
We already know that the job market for Artificial Intelligence, Machine Learning, Deep Learning engineers, and A.I. Engineers is ever-growing.
The average salary of a Machine Learning Engineer in the U.S. market is over $110,000. That’s one of the highest-paid salaries in the overall Information technology industry.
Artificial Intelligence Engineers are also paid well in different parts of the world. The average salary of a mid-level Artificial Intelligence Engineer in the Indian market is around Rs 10 to 15 LPA. Remember, the salary figure can depend upon the individual’s skills and experience.
Should I go for a career in A.I.? Due to the increased demand for high-level technologies related to Artificial Intelligence, it has become one of the most popular career options for every computer science or technology degree holder.
As a result, the salary of Artificial Intelligence professionals is far above the market average in any part of the world.
However, being an A.I. Engineer or qualifying for the role related to it requires a level of experience and skills. Practical and theoretical knowledge is also necessary for preparing for interviews for these roles.
If you are an Artificial Intelligence enthusiast and love to explore its technologies, then you should build yourself for roles associated with Artificial Intelligence engineering. This would be one of the best career options as there are many reasons students should take Artificial Intelligence as one of their career options.
Below are the answers to some of the most asked questions concerning artificial intelligence (A.I.)
No, these are professional courses. As such, some of them are free, while others are paid.
These are the professional certificates only provided to those who have a level of experience, skills, and knowledge and passed the A.I. certification exams.
The Artificial Intelligence Engineer has various responsibilities, such as converting multiple machine learning models into application program interfaces or APIs to be used by other applications.
Building Data Ingestion and Data transformation infrastructure and automating infrastructures used by the data science team. Setting and managing A.I. development and product infrastructure, and many more.
Artificial Intelligence engineers have a respected position in the industry. They are paid more than the market average for any other job role. The demand for Artificial Intelligence Engineers is also increasing daily, so it can be one of the best career options for students and professionals.