Artificial Intelligence Engineer

Program Overview

Prepare for a future in one of today's fastest-growing technology fields. The Artificial Intelligence Engineer program teaches you how to design, build, and apply AI systems while building strong skills in programming, data analysis, and machine learning—with a strong emphasis on ethical and responsible AI use.

This Associate in Applied Science (AAS) program is offered through a partnership between Johnston Community College and Wayne Community College (WCC). You’ll complete general education courses at JCC, then finish specialized AI-specific coursework online through WCC giving you the flexibility and career focused training.

Credential Offered: Degree

What You'll Learn

• In this program, you’ll build practical skills that prepare you for today’s AI-driven workforce, including:

  • Design and build AI systems - Learn how to create intelligent systems that can analyze data, make predictions, and automate decision-making.

  • Work with real data and software tools - Use industry-relevant programming languages, frameworks, and datasets to train and test AI models.

  • Apply machine learning techniques - Develop algorithms that allow systems to learn from data and improve performance over time.

  • Use AI in ethical and responsible ways - Explore fairness, privacy, and transparency to ensure AI solutions are used safely and appropriately.

  • Collaborate on problem-solving projects - Practice teamwork and communication skills while working on real-world AI challenges.

How It Works

Career Opportunities

After completing the program, you’ll be prepared for entry-level and emerging roles in the growing AI field, such as:

• Artificial Intelligence Engineer - Design and implement AI-powered solutions for businesses and organizations.

• Machine Learning Engineer -Build and optimize algorithms that allow systems to learn from data.

• Data Scientist - Analyze large datasets to uncover insights and support data-driven decisions.

• Natural Language Processing (NLP) Engineer - Develop systems that understand and generate human language, such as chatbots and voice assistants.

• Computer Vision Engineer - Create AI systems that interpret images and video for tasks like recognition and detection.

• AI Software Developer - Integrate AI capabilities into applications and software platforms.

• Robotics Engineer - Apply AI to automate physical systems and intelligent machines.

• AI Consultant - Help organizations identify, plan, and implement AI solutions that meet business goals.

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