Learn advanced social computing skills. Discover advanced techniques for analyzing social networks, building chatbots, and improving AI through crowdsourcing.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
This specialization is designed for postgraduate students who are interested in mastering social computing techniques to solve real-world problems. Over four in-depth courses, learners will explore key topics such as:
You will learn to analyze social networks using R programming, create functional chatbots with AWS, and improve AI models using big data and machine learning techniques. By the end of the internship, you will have hands-on experience applying advanced tools and methods in areas such as:
This practical, industry-relevant learning path equips you with the skills needed to excel in the areas of social computing, artificial intelligence, and data-driven innovation.
In this specialization, learners will apply their skills in social computing, social network analysis, AI, and machine learning through hands-on projects. These projects include tasks such as:
For example, students can extract data from social media platforms, perform sentiment analysis, or build classifiers to predict specific outcomes, such as:
Learners will tackle real-world problems by applying techniques such as:
Through these projects, they will gain hands-on experience in evaluating AI models, human-computer interaction, and developing socially aware AI applications. These projects reflect authentic challenges in combining human and machine intelligence to make better decisions.
