GenAI Learning Path - Data Scientists - Foundational
Completed by Kurt Westerman on December 21, 2025
Verified learner ·
Badge ID: kQCxOHoNRv-AsTh6Deb_kg
About this Badge
This foundational path introduces data professionals to key GenAI tools and techniques. Learn to integrate ChatGPT API for intelligent system design, enhance coding workflows with GitHub Copilot, and understand the basics of generative AI engineering. Explore how transformers work and gain initial insights into fine-tuning models for data-driven applications in science and engineering.
Learning objectives
- Automate complex workflows using ChatGPT API by building chains of prompts and integrating Python code.
- Master AI-driven code generation and apply GitHub Copilot effectively in real-world coding scenarios.
- Fine-tune generative AI models using advanced techniques like PEFT, LoRA, and QLoRA with industry-standard tools.
Skills learned
- Software Development Tools
- Self Service Technologies
- Integrated Development Environments
- Natural Language Processing
- Artificial Intelligence
- Generative AI
- Microsoft Copilot
- Performance Tuning
- Programming Principles
- Cloud API
- Deep Learning
- Prompt Engineering
- ChatGPT
- OpenAI
- GitHub
- Computer Programming
- Software Development
- PyTorch (Machine Learning Library)
- Skills section collapsed. Showing 7 of 18 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.