Machine Learning Training Cost

Are you looking to learn machine learning? You can download many of the tools you’ll need at low cost or free, including Python and its frameworks and libraries. You can also access data visualization programs like Tableau for as little as $5/month.

Beyond this, you’ll need to consider the cost of ML training. You may certainly begin with free or low-priced online resources, but once you’re ready to get a formal ML education, the position you seek will drive training costs to some extent.

You can find on-demand or self-paced online courses that require only a small fee or a subscription to a platform, while others cost as much as $10,340 for a six-month program. For targeted training at a more affordable price, consider enrolling in a bootcamp or certificate program.

Read on to find out more about how much you can expect to spend on learning machine learning.

What is Machine Learning?

Machine learning (ML) is one of the best-known subcategories of artificial intelligence (AI). This complex and multidisciplinary field can require training in programming languages like Python, databases like MySQL, and natural language processing (NLP). Common careers that require machine learning skills include Machine Learning Engineers, Data Scientists, and Business Intelligence (BI) Analysts.

Machine learning is often associated with Python programming and data science. Supervised, unsupervised, and reinforcement learning are the top three models of ML algorithms. Popular uses of ML in daily activities include voice recognition tools like Siri, recommendation lists from Amazon or Netflix, and user engagement icons on platforms like Instagram and TikTok. 

Read more about what machine learning is and why you should learn it. 

What Can You Do with Machine Learning?

Machine learning algorithms dominate today’s internet. Websites gather information based on everything you do online, from your search patterns to previous purchases, social media posts, and whether or not you abandon a product in a cart. As ML algorithms continue to influence our personal and professional lives, more and more businesses use them to streamline processes and determine customer and client journeys. The following are a few of the most popular machine learning applications.

• Social media - Meta Platforms (formerly Facebook) was one of the first well-known companies to use ML to measure user activities. Examples of how they analyze statistical activity include their user engagement, chatbots, and content filtering features. Other top social media platforms using ML extensively include Twitter, Pinterest, and TikTok.

• Product Recommendations - If you’ve ever bought a product from Amazon or subscribed to a streaming service, you’ve probably seen the You May Like feature. Companies ranging from Apple to Netflix use machine learning algorithms to customize your experience.

• Natural Language Processing (NLP) involves text analytics and functions combined with machine learning. Analyzing text includes basic steps like identifying the language and more complex steps like syntax parsing and sentiment analysis. ML is essential to text analytics and NLP solutions.

In-Depth Review of the Training Cost

Any in-depth review of the costs associated with machine learning training should emphasize the free and low-cost tools most professionals use. You can download Python for free, Tableau is available for as little as $15/month, and you can get a free trial of SQL Server.

Training is the more meaningful investment for machine learning. Whereas a four-year university or college education is the most expensive option, self-paced or on-demand classes tend to be the cheapest. However, self-paced learning doesn’t offer the same benefits as live instruction.

If you take an in-person program at a course provider’s computer lab, they provide the hardware and software for training. On the other hand, any travel expenses associated with in-person learning are yours unless you work for a company that reimburses you for outside training. Depending on your current job, you may have to take off work to attend training.

For the most comprehensive machine learning training in a brief timeframe, consider a bootcamp or certificate, either in-person or live online. These in-depth programs range from about $1,895 to $4,495 and take as little as 30 hours. Many machine learning pros start here.

Read on for more information about free introductory classes to prepare you for bootcamps and hands-on training to get you ready for real-world ML work.

Free Introductory Machine Learning Course Online 

Not ready to take a full-length machine learning course? If you’re not able to commit to a full-length bootcamp or certificate, you should consider the many free online resources you can use to start studying machine learning.

One of the most important areas of study for those new to machine learning is technical proficiency in a free programming language like Python. If you don’t already have Python experience, it can be helpful to learn more about it before you dive into the study of machine learning. 

Noble Desktop hosts an online seminar entitled Intro to Python Fundamentals. In this free introductory course, you’ll learn about the practical uses of Python. The curriculum walks new programmers through every step to get started in Python programming—from how to install Python to how to write code.

Other free online courses include Introduction to Embedded Machine Learning from Edge Impulse, Artificial Intelligence: Ethics & Societal Challenges from Lund University, and the University of London’s Foundations of Data Science: K-Means Clustering in Python.

Read about more free machine learning videos and online tutorials.

Learn Machine Learning with Hands-on Training at Noble Desktop

Noble Desktop offers a variety of bootcamps and certificates that feature machine learning, both in-person and live online via teleconferencing. Some include Python as a focus, others include machine learning as part of a broader data science curriculum, and others cover ML in a FinTech curriculum. All bootcamps and certificate programs feature small class sizes to maximize personal attention from expert instructors.

• Data Science Certificate - Noble’s Data Science Certificate program teaches participants data science fundamentals before advancing through machine learning, Python for automation, and Structured Query Language (SQL). This immersive certificate is open to beginners; you can retake it for up to one year at no additional charge.

• Python Machine Learning Bootcamp - Programmers already comfortable with Python and its data science libraries can get their machine learning training as part of the Python Machine Learning Bootcamp. Attendees can save by taking this shorter course as part of the Data Science Certificate program.

• Python Data Science & Machine Learning Bootcamp - This comprehensive bootcamp combines the same ML and Python training modules as the Data Science Certificate but does not include the Structured Query Language (SQL) bootcamp. It’s open to beginners and designed to prepare students for entry-level Python engineering or data science positions. 

For more information on Noble Desktop’s data science classes, including machine learning, check out all their full-time and part-time data science programs.