Social Computing
About this Specialization
This specialization is designed for post-graduate students interested in mastering social computing techniques to solve real-world problems. Through four in-depth courses, learners will explore key topics such as social network analysis, chatbot development, crowdsourcing, and AI performance optimization. You will learn to analyze social networks using R programming, create functional chatbots with AWS, and enhance AI models by leveraging crowdsourced data and machine learning techniques. By the end of the specialization, you will have practical experience applying advanced tools and methodologies across domains like social media analytics, conversational interfaces, and human-AI collaboration. This hands-on, industry-relevant learning path equips you with the skills needed to excel in social computing, artificial intelligence, and data-driven innovation.Created by: Johns Hopkins University

Related Online Courses
Welcome to the Architecting in AWS course! The \'Architecting in AWS\' course aligns with the AWS Certified Solutions Architect - Associate certification requirements. It assumes you have a basic... more
This course is primary focused on Procurement Organization-how to integrate procurement into the business and with your suppliers, review different types of procurement organizations, the... more
Course Description: \"BFSI Career Roadmap: Exploring Roles, Skills, and Industry Trends\" offers an in-depth guide to navigating the diverse and evolving career landscape within the Banking,... more
AWS: Security and Cost Optimization Strategies Course is the third course of Exam Prep: AWS Certified SysOps Administrator - Associate Specialization. This course focuses on cost optimization and... more
In this capstone project course, we revisit the strategy controversy at e-Types, introduced in the first course in this specialization, Strategic Management, and further analysed in each of the... more