Postgraduate Certificate in AI for Website Personalization
-- ViewingNowPostgraduate Certificate in AI for Website Personalization: In today's digital age, businesses strive to provide personalized user experiences. This course emphasizes the importance of Artificial Intelligence (AI) in creating tailored website interactions, setting you apart in the job market.
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Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
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โข Introduction to AI & Machine Learning: Overview of AI, Machine Learning, and Deep Learning. Use cases, benefits, and challenges. Supervised, unsupervised, and reinforcement learning. Neural networks and backpropagation.
โข Natural Language Processing (NLP): Text preprocessing, tokenization, stemming, and lemmatization. NLP techniques for sentiment analysis, topic modeling, and named entity recognition. Word embeddings, GloVe, and Word2Vec.
โข Computer Vision for Web Personalization: Object detection, image classification, and semantic segmentation. Image and video processing pipelines. OpenCV, TensorFlow Object Detection API, and YOLO.
โข Recommendation Systems: Collaborative filtering and content-based filtering. Hybrid methods and matrix factorization techniques. User profiling and item profiling. Evaluation metrics and model selection.
โข AI-driven Personalization Algorithms: Context-aware and behavior-based personalization. Multi-armed bandits, Thompson sampling, and Upper Confidence Bound (UCB). Personalized recommendation strategies and A/B testing.
โข Ethics and Bias in AI for Personalization: Data privacy, security, and consent. Algorithmic fairness and transparency. Detecting and mitigating bias in AI models. Ethical considerations in AI-driven personalization.
โข AI for Web Analytics: Web analytics frameworks and tools. Clickstream analysis, user behavior modeling, and sessionization. Anomaly detection and predictive analytics. Visualization techniques and data storytelling.
โข Building an AI-powered Personalization Engine: System architecture and infrastructure. Microservices and containerization. Scalable data processing and storage. Continuous integration, deployment, and monitoring.
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