Certificate in AI Retrospective: Historical Review
-- viewing nowThe Certificate in AI Retrospective: Historical Review is a comprehensive course that offers a detailed examination of artificial intelligence (AI) development from its inception to the present day. This course is vital for professionals seeking to understand the evolution of AI and its impact on various industries.
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Course Details
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• Early AI Research:
- Turing Test
- Dartmouth Conference
• Symbolic AI:
- Rule-based systems
- Expert systems
• The AI Winter:
- Limitations of Symbolic AI
- Shift towards practical applications
• Connectionism and Neural Networks:
- Perceptron
- Multilayer Perceptrons
• The 1980s and 1990s:
- Evolution of Neural Networks
- Emergence of Machine Learning
• The 21st Century:
- Deep Learning
- AI in everyday life
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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