Hands-On with OpenAI Reasoning Models
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 2m | 151 MB
Instructor: Ronnie Sheer
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 2m | 151 MB
Instructor: Ronnie Sheer
This course provides developers and researchers with an in-depth exploration of the OpenAI o1 model and its transformative potential across multiple domains. Instructor Ronnie Sheer dives into the model's distinctive features, showing you how to leverage its advanced reasoning capabilities for complex tasks ranging from financial data analysis to software development. Ronnie highlights the technical capabilities of o1 and o1-mini, while also addressing the potential risks and ethical considerations of AI implementation. Through practical projects and comparative analysis, by the end of this course, you’ll be prepared to effectively integrate o1 into research, coding, and product design workflows.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time, all while using a tool that you’ll likely encounter in the workplace. Check out “Using GitHub Codespaces" with this course to learn how to get started.
Learning objectives
- Gain comprehensive understanding of the OpenAI o1 model's unique capabilities, including its research applications, reasoning mechanisms, and comparative advantages.
- Develop practical skills in using o1 for diverse tasks such as financial data analysis, code generation, testing, and academic research.
- Learn critical strategies for responsible AI adoption, including risk assessment and appropriate model selection for specific use cases.