CA

Certificates in AI
On-Campus

California State University, Sacramento | Graduate Certificate in Intelligent Systems

  • Sacramento


About This Program

This post-graduate certificate focuses on the theoretical foundations and engineering applications of intelligent systems in robotics and autonomous platforms.

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What You'll Learn
  • Design and implement machine learning models for intelligent decision-making.
  • Develop neural networks for pattern recognition and prediction tasks.
  • Integrate AI algorithms into autonomous systems and robotics.
  • Apply ethical principles to intelligent system deployment and evaluation.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Graduate Certificate in Intelligent Systems is a 12-18 credit graduate-level program focused on artificial intelligence, machine learning, and autonomous systems integration.
Typical Course Topics
1. Machine Learning Fundamentals 2. Artificial Intelligence Algorithms 3. Neural Networks and Deep Learning 4. Intelligent Systems Design 5. Robotics and Autonomous Agents 6. AI Ethics and Decision Making
Program Specializations:
Machine Learning
Tech
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant technical background or programming experience is often preferred.
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.

Check Application Deadlines
Career Opportunities in AI

Gain robotics 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%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Systems Engineer 2. Machine Learning Specialist 3. Robotics Software Developer 4. Intelligent Systems Analyst
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Microsoft, NVIDIA, and defense contractors such as Lockheed Martin.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 8,064
Format
On-Campus
Specializations
Machine Learning
Tech
Official Resources
Program Website
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