AL

Certificates in AI
Online

University of South Alabama

Certificate in Edge AI

  • Mobile
About This Program

This program focuses on the emerging field of edge computing, where artificial intelligence is implemented directly on hardware devices and IoT systems.

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What You'll Learn

Students will learn to develop and deploy AI models for real-time reasoning and autonomous decision-making in low-power, distributed computing environments.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure typically includes studies in edge computing architectures, machine learning on edge devices, and the integration of AI with IoT sensors.
Typical Course Topics
1. Edge AI Fundamentals 2. Model Optimization for Edge Devices 3. TinyML and Embedded AI Systems 4. Edge Computing Architectures 5. Real-Time AI Inference Techniques 6. Edge AI Security and Privacy
Program Specializations:
Machine Learning
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 is typically required, along with basic programming knowledge in Python and familiarity with machine learning concepts.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree or equivalent
• 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
• 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 machine learning skills to advance as AI Engineer in Engineering AI

Estimated Industry Salary
Edge AI Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Edge AI Developer 2. Embedded AI Engineer 3. IoT AI Specialist 4. Edge Computing Architect
Top AI Employers (Industry-Wide):
Top employers include tech firms like NVIDIA, Qualcomm, Intel, and companies in IoT and autonomous systems such as Bosch and Siemens.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 7,200
Format
Online
Specializations
Machine Learning
Official Resources
Program Website
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