Master Ethical and Effective Use of Generative AI in Research in 4 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Ethical and Effective Use of Generative AI in Research, from foundations to a certified capstone project.
Outline
Explore the landscape of Generative AI and its research applications • Identify ethical risks such as bias and hallucinations • Automate literature reviews and research ideation with AI • Ensure academic integrity while using AI tools
Outline
Structure and draft manuscripts using AI prompts • Enhance grammar, coherence, and readability with AI checks • Perform basic data analysis and pattern detection in Python • Visualize research findings through AI‑driven graphics
Outline
Automate peer‑review checks and manuscript quality assessment • Detect predatory publishing using AI classifiers • Boost research productivity by automating repetitive tasks • Build reproducible, transparent workflows with Jupyter Notebooks
e-Certificate and e-Marksheet issued on successful completion.