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This course is designed for beginners who want to understand the fundamentals of Artificial Intelligence (A.I). It covers key concepts, tools, and techniques used in A.I development. Participants will gain hands-on experience in building A.I models, understanding machine learning, neural networks, and more. By the end of the course, students will be equipped with the skills to explore advanced A.I topics and apply their knowledge to real-world problems.
Curriculum
- 1 Section
- 12 Lessons
- 10 Weeks
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- Course Curriculum12
- 2.01. Introduction to Artificial Intelligence
- 2.12. What is A.I?
- 2.23. History and Evolution of A.I
- 2.34. Applications of A.I in Various Industries
- 2.45. Machine Learning Basics
- 2.56. Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
- 2.67. Key Algorithms in Machine Learning
- 2.78. Neural Networks and Deep Learning
- 2.89. Understanding Neural Networks
- 2.910. Introduction to Deep Learning
- 2.1011. A.I Tools and Frameworks
- 2.1112. Ethical Considerations in A.I Trends and Future Directions of A.I
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