Professional Certificate in AI History: Monitoring Tools
-- viewing nowThe Professional Certificate in AI History: Monitoring Tools is a comprehensive course designed to provide learners with an in-depth understanding of the evolution and impact of Artificial Intelligence (AI) on various industries. This course highlights the importance of AI monitoring tools, their functionalities, and implementation strategies.
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Course Details
• AI Timeline
• Early AI: Symbolic AI and Knowledge Representation
• The Birth of Machine Learning: Neural Networks and Deep Learning
• AI in the 1990s: Expert Systems and the AI Winter
• The Resurgence of AI: Data, Cloud, and Graphics Processing Units (GPUs)
• AI Monitoring Tools: Introduction and Overview
• Popular AI Monitoring Tools: TensorBoard, MLflow, and Kubeflow
• AI Monitoring Best Practices: Model Versioning, Logging, and Visualization
• AI Monitoring for Business: Performance Metrics, Model Drift, and Ethical Considerations
• Future of AI Monitoring Tools: Trends and Innovations
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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