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The “Artificial Intelligence A.I for Expert” course is a deep dive into advanced AI concepts, designed for experienced professionals and researchers aiming to master cutting-edge AI techniques. The course covers topics such as advanced neural networks, reinforcement learning, AI optimization strategies, and real-world deployment techniques. By the end of this course, learners will be capable of building highly complex AI models, optimizing performance, and solving industry-specific AI challenges.
Curriculum
- 1 Section
- 8 Lessons
- 10 Weeks
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- Course Curriculum8
- 1.01. Advanced Neural Networks: Explore deep neural architectures like CNNs, RNNs, and GANs.
- 1.12. Reinforcement Learning: Learn policy gradients, Q-learning, and deep Q-networks.
- 1.23. AI Optimization Techniques: Dive into hyperparameter tuning, model pruning, and quantization.
- 1.34. NLP for Experts: Advanced techniques in transformers, BERT, and GPT models.
- 1.45. Computer Vision for Experts: Image segmentation, object detection, and real-time applications.
- 1.56. Ethical and Responsible AI: Explore bias detection, fairness, and transparency in AI models.
- 1.67. AI Deployment: Learn about deploying AI models on cloud, mobile, and edge devices.
- 1.78. Capstone Project: Work on a real-world project to showcase your AI expertise.
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