Description
How to Use AI Reasoning Models: Practical Applications with Hands-On Exercises. This course provides a comprehensive overview of OpenAI’s O-series models, covering advanced reasoning capabilities and practical applications in business and science. Taught by Anurag Karopati, the course covers everything from fundamentals and technical implementations to ethical considerations and future developments. Participants will learn about the evolution of AI, including System-1 to System-2 models, the rules of training scaling, and the paradigm shift in inference scaling. It also introduces capabilities such as chain reasoning and majority voting during testing, along with comparisons of model performance in math, programming, and science. The practical portion of the course includes using API features, prompt engineering, and hands-on exercises in software development, game building, document risk analysis, fraud detection, constraint-based problem solving, and image processing. Additionally, topics such as performance evaluation and measurement, cost management, and security, including threats and strategies for building secure and responsible systems, are covered. Finally, the course explores the future of reasoning models, including open source alternatives such as DeepSeek and the prospects for future models such as GPT-5.
What you will learn
- A thorough understanding of OpenAI’s o-Series models and how they differ from other models.
- Master advanced reasoning capabilities such as chain-of-thought and abstract reasoning.
- Gain practical skills in software development, gaming, fraud detection, and risk analysis using these models.
- Familiarity with Prompt Engineering best practices and API features for developers.
- Learn how to evaluate, benchmark, and control the costs of AI models.
- Learn about safety considerations, security threats, and how to build AI solutions responsibly.
- Explore the future of reasoning models, including open source alternatives and future developments.
This course is suitable for people who:
- Software developers and engineers: to learn how to integrate and use advanced reasoning models in their projects.
- Data scientists and researchers: To leverage AI reasoning capabilities in data analysis and scientific research.
- Product and business managers: To understand how to use AI models to solve complex problems and improve business processes.
- Students and AI enthusiasts: To gain in-depth and practical knowledge about the latest AI models and their applications.
- Anyone who wants to improve their skills in Prompt Engineering and working with large language models.
How to Use AI Reasoning Models: Practical Applications with Hands-On Exercises
- Publisher: LinkedIn
- Instructor: Anurag Karuparti
- Education level: Intermediate
- Training duration: 1 hour and 59 minutes
Course syllabus in 2025/6
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
200 MB
