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Curriculum
- 1 Section
- 9 Lessons
- 10 Weeks
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- Course Curriculum9
- 1.01. Introduction to AI: Recap of fundamental AI concepts and tools.
- 1.12. Machine Learning Basics: Understanding supervised and unsupervised learning.
- 1.23. Neural Networks: Dive into deep learning and neural networks.
- 1.34. Natural Language Processing (NLP): Working with text data and language models.
- 1.45. Computer Vision: Image recognition and object detection basics.
- 1.56. Ethical AI: Exploring ethical considerations in AI projects.
- 1.66. Ethical AI Exploring ethical considerations in AI projects.
- 1.77. Hands-on Projects: Building AI models using Python and TensorFlow.
- 1.88. Deployment of AI Models: Integrating AI models into real-world applications.