Generative AI Tools for Productivity and Research

Artificial intelligence is growing rapidly, affecting nearly every industry, and it’s not going anywhere. If you’re feeling overwhelmed by the onslaught of AI tools or just feeling out of the loop with the speedy changes in the AI landscape, check out this course with instructor Wuraola Oyewusi. Wuraola explores a wide range of generative AI tools from text to image, language generation with chatbots (Google Gemini, Microsoft Copilot), research (Elicit AI, Litmaps, SciSpace). She shows you how to write, visualize, extract, parse, search, and distill scientific and academic research content. Find out how to leverage ChatGPT, Gemini, and other generative AI tools to perform advanced research. Learn about getting set up, prompting, finding the right tool, and more.

Learning objectives
Define generative AI and explain its key components and functionality.
Analyze the evolution of generative modeling techniques from early models to modern transformers.
Identify various types of generative AI tools and their applications across different industries including academic research
Evaluate the differences and similarities between generative AI and large language models.
Apply effective prompt engineering techniques to optimize the outputs of generative AI tools.
Demonstrate the use of popular generative AI tools like Gemini, and Microsoft Copilot then niche ones for research like Elicit, Litmaps, and SciSpace in practical scenarios.
Construct synthetic datasets and perform basic exploratory data analysis using generative AI tools.(Gemini)
Illustrate the process of using generative AI tools for tasks like writing, research, and content creation.
Develop brand materials and creative content using AI-driven design tools like Microsoft Copilot Designer.
Perform advanced research using ChatGPT, Gemini, and other generative AI tools.