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Bachelor's in AI, Bachelor's in Cybersecurity, Certificates in AI, Master's in AI, Master's in Cybersecurity
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Capitol Technology University

Capitol Technology University

  • Laurel
About This Program

This intensive, hands-on certificate equips STEM professionals with specialized expertise in implementing AI technologies to solve real-world industry challenges.

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What You'll Learn

Students learn methodologies like deep learning and reinforcement learning, gaining practical skills to develop AI solutions for automation and predictive modeling.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program covers generative algorithms, fuzzy-logic systems, neural networks, and utilizes the Capitol AI Learning & Innovation Environment.
Typical Course Topics
1. Principles of Machine Learning 2. Applied Data Science 3. Deep Learning and Neural Networks 4. AI Programming and Software Design 5. Human-Centered AI Design 6. AI Ethics and Interpretability
Program Specializations:
Deep Learning
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Requires a bachelor's degree in a related field such as computer science, engineering, or mathematics, with a minimum GPA of 3.0 and relevant programming or quantitative background. Prerequisites may include introductory statistics, linear algebra, and Python programming experience.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Gain deep learning skills to advance as AI Engineer in Cross-Industry AI

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Specialist 3. Data Scientist 4. AI Applications Developer
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Microsoft, Amazon, and IBM, as well as consulting firms and government research agencies.
Explore AI Career Paths
Program Details
Duration
  • 0.5 Year
Tuition
  • 7,800
Format
Online
Specializations
Deep Learning
Computer Vision
Official Resources
Program Website
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