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The “Artificial Intelligence A.I for Intermediate” course is designed for learners with a foundational understanding of AI concepts who are ready to take their skills to the next level. This course covers practical applications of AI, including machine learning models, neural networks, and ethical AI practices. By the end of the course, learners will be able to build AI models, understand key algorithms, and integrate AI into real-world projects.
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.