Machine Learning Training & Classes for Employees: Review Corporate Training Options

An overview of the best corporate training options for Machine Learning development.

An essential subcategory of artificial intelligence, machine learning, or ML, is fast becoming a popular career choice. Data science, cybersecurity, and BFSI (banking, financial services, and insurance) are all top fields requiring machine learning expertise.

Read on to learn what to consider when looking for corporate machine learning classes and those available for onsite or live online training.

What is Machine Learning?

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

Machine learning is often associated with Python programming and data science. 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 Skills?

Data Analytics Certificate: Live & Hands-on, In NYC or Online, 0% Financing, 1-on-1 Mentoring, Free Retake, Job Prep. Named a Top Bootcamp by Forbes, Fortune, & Time Out. Noble Desktop. Learn More.

Machine learning algorithms dominate today’s internet. Websites gather information based on search, social, and shopping. Top ML applications include:

  • Social media - Meta Platforms was one of the first well-known companies to use ML to measure user activities. Other social media platforms using ML include Twitter and TikTok.
  • Recommendation Engines - If you use Amazon or streaming services, you’ve seen the You May Like feature. Companies like Apple and Netflix use ML algorithms to customize experiences.
  • Natural Language Processing (NLP) - Analyzing text includes steps like identifying the language, syntax parsing, and sentiment analysis. Machine learning is essential to NLP.

Benefits of Machine Learning Corporate Training

Machine learning classes can be helpful to organizations of all sizes. Government agencies, multinational corporations, and even small companies can benefit from corporate training live online or at your location.

Many course providers can customize corporate training materials to meet the requirements of your company or agency. Machine learning classes like the Data Science Certificate or FinTech Bootcamp from Noble Desktop can help businesses or agencies analyze data and share insights. Employees gain essential skills while expanding their knowledge base as a team. 

Some course providers make classes available during flex time, like evenings and weekends. That can help organizations, as scheduling programs evenings or weekends means they won’t take time away from current projects.

Read on to learn more about onsite and live online corporate machine learning training.

Who Benefits Most from Machine Learning Corporate Training?

The breadth and depth of machine learning training your organization need depends on its type. ML has quickly become an essential tool for professionals like Data Engineers, Business Intelligence (BI) Analysts, and Research Scientists.

Many companies and agencies use machine learning technologies for search engines, facial or voice recognition, or data analysis. While a comprehensive list is beyond the range of this article, some of the top fields for ML include:

  • Data Science
  • Cybersecurity
  • Banking, Financial services & Insurance (BFSI)
  • Healthcare
  • Education

Read on to learn more about corporate machine learning training options.

New Skills or Upskilling?

When and how you incorporate machine learning into your organization depends on several factors. A small informal training seminar might be appropriate if your employees have a thorough computer science background—especially if only a few well-trained employees need the information.

If your team is new to ML, you might prefer a training seminar that benefits everyone in the organization. Depending on your industry, different training options will offer certain advantages. Corporate training can save time and money whether your employees need machine learning fundamentals or are upskilling for other positions.

For more information, check out corporate machine learning training options from Noble Desktop.​​

Onsite or Online?

Learning in the in-person classroom is often the most effective method for machine learning training. Onsite training offers multiple benefits: your team will have the highest level of engagement possible and can get real-time answers to all their questions. Expert instructors provide the most up-to-date information in a dynamic, interactive environment.

If you prefer that your team get their ML training outside business hours, or you have other reasons to avoid onsite training, consider a live online corporate program. Live online training offers engagement similar to in-person training, with flexible scheduling and the ability to get real-time answers to any questions. Providers like Noble Desktop offer discounts on bulk purchases of open-enrollment classes and can even customize a program to meet your organization's needs.

Training Options for Employees

Noble Desktop offers corporate ML training in the following three formats:

  • Online live or in-person training
  • Open-enrollment class vouchers
  • Private training

Online live and onsite corporate training includes instruction either virtually or at your location. If you prefer, Noble Desktop can tailor a training program to meet your organization's needs.

New York City organizations can get private training at Noble Desktop's corporate headquarters in Manhattan. Choose from current course listings or request a customized program. 

Classes include the Python Machine Learning Bootcamp, Machine Learning & Automation for Finance, and Data Science Certificate program. Some courses require Python data science experience, so check listings for prerequisite information.

Supplemental Training Options

Noble Desktop offers multiple options for machine learning training. One unique alternative is the option to buy bulk enrollment in Noble classes. With its voucher program, Noble gives employers a discount on bulk purchases and provides employees with training outside standard business hours.

For more information on custom ML training options, contact Noble Desktop for a no-obligation consultation.

Key Takeaways

  • Machine learning (ML) is an essential subcategory of artificial intelligence (AI).
  • Top fields requiring ML expertise include:
    • Data Science
    • Cybersecurity
    • Banking, Financial Services & Insurance (BFSI)
    • Healthcare
    • Education
  • Additional training for ML careers can include:
    •  Python
    • MySQL
    • Natural Language Processing (NLP)
  • Top careers for machine learning include:
    • Machine Learning Engineer
    • Data Scientist
    • Business Intelligence (BI) Analyst
    • Data Engineer
    • Research Scientist
  • Top applications for ML expertise include:
    • Social media
    • Recommendation engines
    • Natural Language Processing (NLP)
    • Facial or voice recognition
    • Data analysis
  • Small machine learning seminars are ideal for organizations where a few well-trained employees need the training.
  • Large training groups benefit organizations where employees are new to machine learning.
  • Corporate ML training options include:
    • Live online or onsite training
    • Open-enrollment group class vouchers
    • Private training
  • Comprehensive corporate machine learning training is available through Noble Desktop, either in person or online. Popular courses include:
    • Python Machine Learning Bootcamp
    • Machine Learning & Automation for Finance

How to Learn Machine Learning

Master machine learning with hands-on training. Use Python to make, modify, and test your own machine learning models.

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