AI Research & Papers

This course teaches how to build a competitive intelligence system to uncover market opportunities. You will learn to analyze competitor positioning and strategies, turn insights into actionable growth strategies, and identify market gaps. It is designed for marketers, business strategists, and product teams.

An live course focused on leveraging AI for in-depth customer research to inform user experience and product strategy.

This course explores the foundational principles of artificial intelligence and its transformative applications in medicine and biomedical research.

This course teaches you how to integrate AI into your user research practice responsibly and effectively. You'll learn to save time and work efficiently while keeping empathy and critical thinking at the center of your work. It covers the role of AI in research, prompting for research, AI for research planning, facilitation, analysis, and synthesis, and evaluating AI tools.

This online course offers practical strategies for using AI in research, including how it can help in reading and understanding research faster, searching for scientific insights, and taking better notes. It also covers ethical challenges.

A comprehensive exploration of how Generative Artificial Intelligence (GenAI) is revolutionizing the field of market research. The course offers an in-depth understanding of the capabilities of GenAI in this domain and provides practical strategies for leveraging these powerful tools in day-to-day market research activities.

This course provides insights into how Generative AI is revolutionizing user research and design thinking. It covers mastering AI tools for user research, synthesizing and interpreting research data, and applying AI to generate strategic insights.

Part of the Microsoft AI Product Manager Professional Certificate, this course focuses on gathering and interpreting market data, assessing the competitive landscape, and identifying market opportunities using Microsoft tools. It covers B2B market research, consumer behavior, and competitive analysis techniques.

This course provides a case-study based introduction to the foundational concepts of machine learning.

A project-based course that teaches how to utilize ChatGPT to create surveys, polls, and other artifacts for both primary and secondary market research. It also covers harnessing the power of ChatGPT for translating market research text and collaterals into multiple languages.

This case study focuses on analyzing churn rates for a telecom company using Tableau. It covers creating calculated fields, various visualizations, and combining them into a story to share insights.

Offers hands-on training in deep learning and accelerated computing for healthcare, with courses available as self-paced online or instructor-led workshops.

Get up to speed with the latest AI research. Each video explains a cutting-edge paper in an accessible way.

Welcome to the most in-depth and engaging Machine Learning & Data Science Bootcamp designed to equip you with practical skills and knowledge for a successful career in the AI field. This comprehensive course is tailor-made for beginners and aspiring professionals alike, guiding you from the fundamentals to advanced topics, with a strong emphasis on Python programming and real-world applications.Become a master of Machine Learning, Deep Learning, and Data Science with Python in this comprehensive bootcamp. This course is designed to take you from beginner to expert, equipping you with the skills to build powerful AI models, solve real-world problems, and land your dream job in 2024.Master the fundamentals of Data Science:Learn how to work with data effectively, from collection and cleaning to analysis and visualization.Master essential Python libraries like Num Py, Pandas, and Matplotlib for data manipulation and exploration.Discover the power of data preprocessing techniques to enhance your model's performance.Unlock the potential of Machine Learning with Python:Dive into the core concepts of machine learning algorithms, including regression, classification, and clustering.Implement popular ML algorithms using Scikit-Learn, the go-to library for ML in Python.Build your own predictive models and evaluate their accuracy with real-world datasets.Launch your career in Data Science and Machine Learning:Gain practical experience by working on real-world projects and case studies.Learn how to deploy your models in production environments to create real-world impact.Prepare for technical interviews and land your dream job with career guidance and tips.Why choose this course:Comprehensive curriculum covering all essential aspects of