Artificial intelligence (AI) is rapidly advancing. It facilitates a wide range of automated operations in our everyday lives, including self-driving cars, manufacturing robots, and smart assistants. If you want to participate in this lucrative industry, read on to learn about some of the best online artificial intelligence courses, classes, and training programs.
What Is Artificial Intelligence?
Artificial intelligence (AI) is a branch of computer science that involves developing machines and systems that imitate human intelligence. Computer scientists and other AI experts create machines that emulate humans to perform duties with minimal supervision.
There are multiple types of artificial intelligence, two of which include weak AI and strong AI. Weak AI, also known as artificial narrow intelligence, is used to perform specific tasks, whereas strong AI, made up of artificial general intelligence and artificial super intelligence, is more complex and is meant to imitate human intelligence.
Why Online Artificial Intelligence Courses Are Important for Professional Development
Online artificial intelligence (AI) courses provide you with a convenient, flexible, and affordable way to pursue or advance your AI education or career. There are a variety of online courses that focus on different aspects of AI, which allows you to learn exactly what you’re interested in. Additionally, online AI courses can help to advance your current position or increase your salary.
Should You Attend a Coding Bootcamp to Learn Artificial Intelligence?
Coding bootcamps are a great way to learn artificial intelligence. They use a hands-on learning approach that allows students to practice the skills that they’re learning. Some of the best AI bootcamps help increase your career prospects by providing career services upon graduating and are partnered with well-known companies that are ready to hire new graduates.
Overview: The Best Online Artificial Intelligence Courses, Classes, or Training
There are a variety of artificial intelligence (AI) programs that can adequately prepare you for an AI career. When choosing which program is best for you, it’s helpful to compare program prices, lengths of time, certificate options, and providers. Listed below are some of the best online AI courses, classes, and training programs available.
| Provider | Course | Price | Length | Certificate |
|---|---|---|---|---|
| BrainStation | Data Science Bootcamp | N/A | N/A | Yes |
| Coursera | Python for Data, AI, and Development | Free and paid options | 19 Hours | Yes, in the paid option |
| Coursera | Machine Learning | Free and paid options | 61 Hours | Yes, in the paid option |
| Coursera | Machine Learning for All | Free and paid options | 22 Hours | Yes, in the paid option |
| Flatiron School | Data Science | $16,900 | 15 Weeks | Yes |
| Great Learning | PG in Artificial Intelligence and Machine Learning: Business Applications | $3,500 | 6 Months | Yes |
| Kellogg Executive Education | AI Applications for Growth | $2,600 | 2 Months | Yes |
| LearningFuze | Data Science Bootcamp | $5,995 | 12 Weeks | Yes |
| LinkedIn Learning | Artificial Intelligence Foundations: Machine Learning | $24.99 | 1 Hour 17 and Minutes | Yes |
| MIT Professional Education | Machine Learning: From Data to Decisions | $2,300 | 8 Weeks | Yes |
| MIT xPRO | Designing and Building AI Products and Services | $2,600 | 8 Weeks | Yes |
| Simplilearn | Machine Learning Certification Course | $899 | Self-paced | Yes |
| UC Berkeley Executive Education | Artificial Intelligence Business Strategies and Applications | $2,800 | 2 Months | Yes |
| Udemy | Artificial Intelligence A-Z: Learn How to Build an AI | $84.99 | 16 Hours 36 minutes | Yes |
| Wharton Online | Artificial Intelligence for Business | $599 | 4 to 6 Weeks | Yes |
In Detail: The Best Online Artificial Intelligence Classes, Courses, or Training
Data Science Bootcamp Online | BrainStation
- Learning Format: Bootcamp program
- Level: Beginner
- Subjects Covered: Data analysis and visualization, analysis for data science, artificial intelligence and machine learning techniques, big data fundamentals, professional development
BrainStation is a leading bootcamp for data science. This program uses a cutting-edge curriculum that explores different types of machine learning, unsupervised learning techniques, and Big Data analysis. You will also learn a wide range of popular programming languages and technologies like Python, Pandas, TensorFlow, and Git.
Key Takeaway: This is one of the best programs for complete beginners who want to quickly and efficiently enter an AI career. To learn about the pricing and program length, you can contact BrainStation through their website.
Python for Data, AI, and Development | Coursera
- Learning Format: Full course with hands-on training
- Level: Beginner
- Subjects Covered: Python basics, Python data structures, Python programming fundamentals, APIs and data collection, working with data in Python
This beginner-friendly course is offered by Coursera in collaboration with IBM. It focuses on Python fundamentals and how it relates to artificial intelligence and development. Students learn how to create basic programs, work with data, and make real-life and business decisions with Python.
Key Takeaway: This course is focused on using Python for AI and is ideal for students who are pursuing Python, data science, or AI careers.
Machine Learning | Coursera
- Learning Format: Full course with hands-on training
- Level: Intermediate
- Subjects Covered: Linear regression with one variable, linear algebra review, logistics regression, neural network, regularization, artificial intelligence, machine learning
Coursera partners with Stanford University to offer this in-depth intermediate course. Students explore data mining, statistical pattern recognition, the basics of machine learning, and the best practices in machine learning. By the end, students will have learned how to build smart robots, audio database mining, and text understanding.
Key Takeaway: This machine learning course is ideal for students who are pursuing or currently working in the AI field.
Machine Learning for All | Coursera
- Learning Format: Full course
- Level: Beginner
- Subjects Covered: Artificial intelligence and machine learning, data features, machine learning in practice
This course is offered by Coursera in collaboration with University of London. The course covers significant AI breakthroughs and the fundamentals of machine learning technology. It aims to help students understand modern machine learning technologies, how data is used to make predictions in machine learning, and the implications of machine learning on society.
Key Takeaway: This foundational course allows students to explore machine learning and study the potential societal consequences of its use.
Data Science | Flatiron School
- Learning Format: Bootcamp program
- Level: Beginner
- Subjects Covered: Data analysis and engineering, scientific computing and quantitative methods, artificial intelligence and machine learning fundamentals, advanced machine learning
This data science program covers data cleaning, looping, linear regression, model evaluation, cognitive learning theory, natural language processing, and a variety of other related topics. You will also create a large-scale project to prove your capability using practical applications. If you want to learn more about this coding bootcamp, make sure to check out our Flatiron School review.
Key Takeaway: This online AI program is ideal for students who are interested in learning the data science behind AI.
PG in Artificial Intelligence and Machine Learning: Business Applications | Great Learning
- Learning Format: Full course with hands-on training
- Level: Beginner
- Subject Covered: Foundations of artificial intelligence and machine learning, supervised machine learning, natural language processing, computer vision
This course is provided by Great Learning in conjunction with The University of Texas at Austin. The curriculum was designed by industry experts and trains students in AI foundations, ML, deep learning, and requires them to complete eight hands-on projects that can be added to their professional portfolios.
Key Takeaway: This program is designed for students who want to learn about business applications for AI. Participants should have basic programming experience before enrollment.
AI Applications for Growth | Kellogg Executive Education
- Learning Format: Full course with hands-on training
- Level: Beginning/Intermediate
- Subjects Covered: AI and operations management, transforming your business with AI, customer experience management
This course was designed for experienced executives, managers, and consultants who wish to learn about AI implementation in various business functions. It focuses on using AI to make informed business decisions and teaches students how to utilize AI for optimal business results. Upon completion, students receive a certificate of completion.
Key Takeaway: This is an excellent course for beginners to intermediate learners who want to learn about AI in the context of business.
Data Science | LearningFuze
- Learning Format: Bootcamp program
- Level: Beginner
- Subjects Covered: Artificial intelligence and machine learning, image processing, deep learning, cloud and deployment, Python
This course explores a variety of AI topics within a data science context, including big data, Spark, image recognition, computer vision, and recommendation systems. Students can interact and collaborate virtually through access to the LearningFuze Online portal. Upon completion, students receive extensive career support to land their ideal jobs.
Key Takeaway: This online program covers the data science of AI and facilitates hands-on experience. It’s also well-suited to a variety of career paths.
Artificial Intelligence Foundations: Machine Learning | LinkedIn Learning
- Learning Formats: Class
- Level: Beginner
- Subjects Covered: Artificial intelligence and machine learning introduction, applying algorithms, different ways a machine learns, common challenges, popular machine learning algorithms
This class provides students with a foundational understanding of artificial intelligence and machine learning. Students learn about machine learning algorithms and statistics, regression analysis, and some of the common machine learning challenges. Upon completion, students earn a shareable certificate to showcase their skills.
Key Takeaway: This class provides students with a basic introduction to artificial intelligence and machine learning concepts.
Machine Learning: From Data to Decisions | MIT Professional Education
- Learning Format: Full course with hands-on training
- Level: Beginner
- Subjects Covered: Introduction to artificial intelligence and machine learning, understanding your data, neural networks, decision-making applications
This course aims to equip working professionals with the tools and skills to make decisions based on data. It focuses on machine learning and its practical applications. Students learn the building blocks of machine learning using neural networks, regressions, and classifications to make predictions and applications for decision-making.
Key Takeaway: This is one of the best machine learning courses for professionals who are in charge of making decisions within their organizations. Participants are required to have a basic understanding of statistics before enrollment.
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Designing and Building AI Products and Services | MIT xPRO
- Learning Format: Full course with hands-on training
- Level: Advanced
- Subjects Covered: Intro to AI design process, artificial intelligence and machine learning fundamentals, deep learning fundamentals, designing artificial machines to solve problems
This course is ideal for AI professionals or entrepreneurs who rely on AI knowledge. You will explore the design process for AI-based products, machine learning and deep learning algorithms, and how to apply these skills to real-world problems. To be eligible for this program, you must be conversant in statistics, calculus, linear algebra, probabilities, and Python.
Key Takeaway: Students who complete this course will develop advanced skills and receive a certificate from MIT xPRO, which can be added to their LinkedIn profiles and resumes.
Machine Learning Certification Course | Simplilearn
- Learning Format: Certification course
- Level: Beginner
- Subjects Covered: Introduction to artificial intelligence and machine learning, time series modeling, data preprocessing,
Simplilearn has been rated as one of the best online education providers by various organizations, making it a suitable choice for anyone seeking an online AI education. This certification course covers real-time data, linear and logistics regression, classification, neural network simulations, time series modeling, and Python in machine learning.
Key Takeaway: This course prepares students for the associated certification exam. Students are guaranteed a full refund if the course doesn’t meet their expectations.
Artificial Intelligence Business Strategies and Applications | UC Berkeley Executive Education
- Learning Format: Full course with hands-on training
- Level: Beginner
- Subject Covered: Artificial intelligence (AI) and business, artificial intelligence strategy, artificial intelligence and machine learning basics, robotics, neural networks, deep learning
This course is focused on combining the technical and engineering aspects of AI with business applications. Throughout the program, students explore real-world AI technologies and learn through live and recorded lectures, case studies, and hands-on assignments. This course aims to prepare professionals for AI implications, rather than developing AI experts.
Key Takeaway: This course focuses on examining the role of AI in organizations and is ideal for business leaders and professionals in senior management, data science, or business.
Artificial Intelligence A – Z: Learn How to Build an AI | Udemy
- Learning Format: Full course with hands-on training
- Level: Intermediate
- Subjects Covered: Artificial intelligence, dynamic programming, approximation methods
This highly-rated course features 122 on-demand video lectures, 21 articles, and two downloadable resources focused on building an AI, solving real-world AI problems, deep Q-Learning, AI and deep learning models, and other related topics. By the end, students will know how to build an AI and create a virtual self-driving car.
Key Takeaway: This course requires participants to have high school-level mathematics and basic Python knowledge before enrollment. It’s ideal for anyone pursuing or advancing an AI career.
Artificial Intelligence for Business | Wharton Online
- Learning Format: Full course
- Level: Intermediate
- Subjects Covered: Artificial intelligence (AI) for business, data management infrastructure, business applications of machine learning, machine learning in finance, risks of AI
University of Pennsylvania’s online extension, Wharton Online, has curated this course for professionals and entrepreneurs who are seeking business growth through AI. Students learn how to deploy AI fundamentals in their businesses and gain valuable insight into AI and machine learning fundamentals.
Key Takeaway: Wharton School is accredited by the International Association for Continuing Education and Training (IACET). The certificate you receive upon completion is reputable and internationally recognized.
Online Artificial Intelligence Classes, Training, or Courses: Which Is the Right Option?
While there isn’t a wrong or right program option, the type of program you choose should be well-suited to your preferences and needs. Classes tend to be the most affordable, least time-consuming, and mainly focused on the theoretical aspects of artificial intelligence (AI).
Courses and training programs tend to be more expensive and time-consuming, typically lasting several weeks to several months. While some courses and training programs are offered free, others can cost as much as college tuition. These programs combine theory with hands-on training to provide students with a complete understanding of AI concepts.
How to Choose the Right Online Artificial Intelligence Course, Class, or Training Program
Your Goals
Your goals play a huge role in determining which program is best for you. If you’re enrolling in an artificial intelligence (AI) program for entry into the AI field, courses or training programs are probably your best option as they provide plenty of tactile learning opportunities. If you’re advancing your current AI career, you might be more interested in a short-term class.
Flexibility
Some programs are self-paced, while others have set schedules and live lectures. AI classes, courses, and training programs often include a self-paced option to accommodate a variety of learners. You’ll want to consider your availability and the time you’re able to commit. The program you choose should align with your current obligations and preferences.
Cost
AI programs greatly vary in terms of cost. Some programs can cost as much as college tuition, while others provide free audit versions or are offered completely free. Most programs offer some form of financial assistance, so if the artificial intelligence program you’re interested in is out of your budget, you can contact the provider to learn payment options and aid.
Artificial Intelligence Course Certificates vs. Certifications
Certificates and certifications differ in several ways. It is standard to receive a certificate of completion at the end of an associated course to prove that you have completed the program. Certifications are earned through passing an associated exam and prove that you’re qualified for the associated position or field.
Importance of Artificial Intelligence Certifications
Artificial intelligence (AI) certifications prove your eligibility for the associated role. They’re reputable in the tech industry and acknowledged by employers. AI certifications can also be used to advance your current AI career and increase your salary.
Why You Should Take Online Artificial Intelligence Courses or Classes
Online artificial intelligence (AI) courses and classes effectively equip you with the tools and skills to pursue a variety of AI career opportunities. They offer students an affordable and convenient way to pursue AI while maintaining their current responsibilities. If you’re interested in pursuing an AI education or career, online programs provide an excellent way to do it.
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