The Virginia Tech AI and Machine Learning Bootcamp is designed for students to pursue high-quality tech education while continuing to balance work or other commitments. Our program provides you with the flexibility to fit career development into your life.

Artificial intelligence is a rapidly-evolving tech field with implications across almost all major industries, thanks in part to the meteoric rise of AI chatbot apps like ChatGPT.  As a result, professional roles concentrated in AI and machine learning engineering are slated to increase dramatically over the next decade, bringing lucrative salaries, specialization opportunities, engaging work, and the chance to shape the future of AI innovation.

According to the Bureau of Labor Statistics, demand for artificial intelligence and machine learning professionals is slated to increase about 36% over the next decade. That’s much faster than the average growth rate for all professions, which stands at about 6%.

In Virginia, companies are hiring data professionals with concentrations in artificial intelligence for both local and remote jobs. These companies are hiring for roles like Data Analyst, Artificial Intelligence Engineer, and Machine Learning Engineer. With an inclusive and rigorous active learning curriculum plus professional career coaching services, Virginia Tech AI & Machine Learning Bootcamp students are equipped with the skills and experience needed to specialize within this growing field of lucrative data careers, including those specialized in artificial intelligence.

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Virginia Tech AIML Bootcamp
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Registration $14,495.00
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What You Will Learn

Bootcamp classes combine live online instruction with group and independent active learning challenges—all facilitated by industry-experienced professionals. Students are supported by Fullstack Academy’s active learning method, which enables students to build skills and practically apply them at the same time—both independently and as part of a team.

Upon completion of this bootcamp, you’ll be able to:

  • Apply the principles of data science in a real-world context–emphasizing ethical practices and effective decision-making.
  • Acquire experience loading, storing, and working with data in Python.
  • Gain an in-depth understanding of data science processes including data wrangling, data exploration, fundamental and advanced statistics, and hypothesis building and testing.
  • Learn and deploy machine learning principles, algorithms, models, and applications.
  • Explore deep learning and leverage neural networks to create and optimize models using tools.
  • Examine generative AI, including ChatGPT and prompt engineering. Learn to effectively and ethically utilize them for a variety of business applications.

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