Graduate Certificate in Cloud Based AI Development
-- viewing nowThe Graduate Certificate in Cloud Based AI Development is a comprehensive course designed to meet the growing industry demand for AI and cloud technology specialists. This program focuses on equipping learners with essential skills in cloud-based AI development, machine learning, and data analytics.
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Course Details
• Cloud Fundamentals: Understanding cloud computing, major cloud service providers, and cloud deployment models.
• Artificial Intelligence (AI) Fundamentals: Overview of AI, machine learning, and deep learning concepts.
• Cloud-based AI Development Tools: Hands-on experience with popular cloud-based AI development platforms, such as Google Cloud AI Platform, AWS SageMaker, and Azure Machine Learning.
• Designing Cloud-based AI Systems: Best practices for designing, building, and deploying AI systems in cloud environments.
• Data Engineering for AI: Data pre-processing, data warehousing, and data management for AI applications in the cloud.
• Machine Learning Algorithms in the Cloud: Implementing and optimizing popular machine learning algorithms, such as linear regression, logistic regression, decision trees, and neural networks, in cloud environments.
• Deep Learning in the Cloud: Hands-on experience with deep learning frameworks, such as TensorFlow and PyTorch, in cloud environments.
• Cloud-based AI Deployment and Maintenance: Techniques and best practices for deploying, monitoring, and maintaining cloud-based AI systems in production environments.
• Ethics and Security in Cloud-based AI Development: Exploring ethical considerations and security best practices in cloud-based AI development, deployment, and maintenance.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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