Major: Artificial Intelligence Operations (AIOps)
Program Overview: The Artificial Intelligence Operations (AIOps) program is designed to equip students with the skills needed to deploy, manage, and optimize AI systems in real-world environments. This interdisciplinary major combines artificial intelligence, machine learning, DevOps, and cloud computing to prepare graduates for roles in AI-driven industries. The curriculum focuses on the operational aspects of AI, including model deployment, monitoring, scalability, and integration with business processes.
Key Learning Objectives:
- Understand the fundamentals of AI and machine learning models.
- Develop skills in deploying and managing AI systems in production environments.
- Learn DevOps practices for AI, including CI/CD pipelines and infrastructure as code.
- Gain expertise in cloud platforms and tools for AI operations.
- Master techniques for monitoring, maintaining, and scaling AI applications.
- Explore ethical considerations and governance in AI operations.
- Apply AI solutions to real-world business challenges.
Core Courses:
- Introduction to Artificial Intelligence and Machine Learning
- Overview of AI and ML concepts, algorithms, and applications.
- AI Model Development and Training
- Techniques for developing, training, and validating AI models.
- AI Infrastructure and Cloud Computing
- Cloud platforms (AWS, Azure, Google Cloud) and AI-specific services.
- DevOps for AI (AIOps)
- CI/CD pipelines, version control, and infrastructure as code for AI systems.
- AI Deployment and Integration
- Deploying AI models in production environments and integrating them with business systems.
- Monitoring and Maintenance of AI Systems
- Tools and techniques for monitoring AI performance, detecting anomalies, and ensuring reliability.
- Scalability and Performance Optimization
- Strategies for scaling AI applications and optimizing performance.
- Ethics and Governance in AI
- Ethical considerations, bias mitigation, and regulatory compliance in AI operations.
- AI for Business Applications
- Applying AI solutions to solve real-world business problems.
- Practicum in AIOps
- Hands-on experience through internships or projects with AI-driven companies.
- Capstone Project
- Developing and deploying an end-to-end AI solution for a real-world problem.
Assessment Methods:
- AI model development and deployment projects
- Cloud-based AI infrastructure setups
- DevOps pipeline implementations for AI systems
- Performance optimization reports
- Ethical AI case studies
- Practicum evaluations and capstone project presentations
Recommended Tools and Resources:
- Cloud Platforms: AWS, Microsoft Azure, Google Cloud
- AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn
- DevOps Tools: Docker, Kubernetes, Jenkins, Git
- Monitoring Tools: Prometheus, Grafana, ELK Stack
- Books:
- Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
- Machine Learning Operations (MLOps) by Mark Treveil et al.
- Designing Machine Learning Systems by Chip Huyen
Prerequisites: Basic knowledge of programming (Python preferred) and familiarity with fundamental AI/ML concepts.
Program Duration: 4 years (bachelor’s degree), including coursework and practical projects.
Certifications: Graduates can pursue certifications such as:
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- Google Professional Machine Learning Engineer
- Certified Kubernetes Administrator (CKA)
Career Paths:
- AI Operations Engineer (managing AI infrastructure and deployments)
- MLOps Engineer (bridging ML development and operations)
- AI Solutions Architect (designing AI systems for business needs)
- Data Scientist (developing and deploying AI models)
- Cloud AI Engineer (specializing in cloud-based AI solutions)
- AI Product Manager (overseeing AI product development and deployment)
Why This Major?
Artificial Intelligence Operations (AIOps) is a rapidly growing field that bridges the gap between AI development and real-world application. This program prepares students to manage the entire lifecycle of AI systems, from development to deployment and maintenance. Graduates will be equipped to work in diverse industries, including technology, finance, healthcare, and manufacturing, where AI is transforming business operations. With the increasing adoption of AI in Turkey and globally, this major offers strong career prospects and the opportunity to work at the forefront of technological innovation.
