What you'll Learn
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Grasp the core differences, capabilities, and benchmarks of o3 and o4-mini models.
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Learn to access and interact with o3 and o4-mini using OpenAI APIs effectively.
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Develop the ability to compare models and choose the right one for practical use cases.
About the Instructor
Dipanjan Sarkar - Head of Community and Principal AI Scientist, Analytics Vidhya
Dipanjan Sarkar is a distinguished Lead Data Scientist, Published Author, and Consultant, having a decade of extensive expertise in Machine Learning, Deep Learning, Generative AI, Computer Vision, and Natural Language Processing. His leadership spans Fortune 100 enterprises to startups, crafting end-to-end data products and pioneering Generative AI upskilling programs. A seasoned mentor, Dipanjan advises a diverse clientele, from novices to C-suite executives and PhDs, across Advanced Analytics, Product Development, and Artificial Intelligence.
Who Should Enroll?
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Ideal for learners looking to understand and experiment with cutting-edge OpenAI models for AI projects.
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Suited for developers and tech professionals aiming to integrate o3 and o4-mini into real-world applications.
FAQ
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What makes OpenAI o3 and o4-mini different from other models?
They offer improved reasoning, coding, and vision capabilities compared to previous versions.
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Can I use these models for image input tasks?
Yes, both support vision input—upload images and ask questions or extract information directly from them.
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Does this course include a certificate of completion?
Yes, you will receive a certificate of completion upon successfully finishing the course and all associated assessments.
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Is there a major difference in cost between o3 and o4-mini?
Yes, o4-mini is generally cheaper and faster, while o3 is better for tasks needing more depth or accuracy.
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What kind of tasks can o3 and o4-mini models handle?
Both models are capable of reasoning, coding, and multimodal tasks. The course explores real use cases to show where each excels.