Deep Dive into OpenAI Models: Master o3, o4-mini & Beyond

Overview

Artificial Intelligence is transforming every industry — and at the heart of it all are powerful models like OpenAI’s o3 and o4-mini. Whether you're an entrepreneur, creator, developer, or just AI-curious, this course gives you the practical skills and deep understanding needed to work with the latest tools from OpenAI.

Syllabus

• Introduction to OpenAI Models
Overview of AI and its impact across industries
Introduction to OpenAI's suite of models
Setting objectives for mastering o3 and o4-mini
• Fundamentals of OpenAI Model Architecture
Understanding model architecture basics
Key differences between o3, o4-mini, and earlier models
Introduction to transformers and language models
• Exploring the o3 Model
Key features of o3
Applications and use cases
Hands-on session: Exploring datasets and training processes
• Mastering the o4-mini Model
Key features of o4-mini
Comparison between o3 and o4-mini
Practical applications and limitations
Hands-on session: Deploying o4-mini for specific tasks
• Practical Skills for Working with OpenAI Models
Setting up the environment for AI development
API integration and leveraging OpenAI’s tools
Fine-tuning models for specific applications
• Advanced Techniques and Innovations
Latest advancements in AI from OpenAI
Deep learning techniques and optimization
Leveraging pre-trained models for efficiency
• Ethical Considerations and Responsible AI
Understanding ethical AI development
OpenAI’s guidelines on AI safety and responsibility
Case studies on AI misuse and mitigation strategies
• Future Trends and Emerging Technologies
Predictions on the future of AI models
Exploring OpenAI’s roadmap and upcoming releases
Innovations and trends in the AI ecosystem
• Capstone Project
Applying knowledge to a real-world problem
Designing and deploying a custom solution using OpenAI models
Peer review and feedback session
• Course Conclusion and Next Steps
Recap of key learnings
Resources for continued learning
Certification of completion and further opportunities

Taught by

Anton Voroniuk and Anton Voroniuk Support

Subjects

Computer Science