Introduction to OpenAI
Pre Requisites
Introduction to Course
Welcome to the Introduction to OpenAI course! I’m Gav Ridgeway, and in this lesson we’ll explore how to harness the power of artificial intelligence using OpenAI’s platform. AI is evolving quickly, and understanding both the theoretical foundations and hands-on applications of OpenAI’s tools is essential for building impactful solutions.
Why This Course Matters
Navigating the OpenAI ecosystem can be challenging without clear guidance. This course bridges the gap between theory and practice through scenario-based, hands-on learning. You’ll gain confidence working with OpenAI’s core tools and learn how to overcome common obstacles while building real-world applications.
Course Roadmap
Below is an overview of what you’ll learn in each module:
| Module | Topics Covered | Outcome |
|---|---|---|
| 1. Prerequisites | • Creating an OpenAI account<br>• Securing API keys | Ready development environment |
| 2. Introduction to AI | • AI history and Transformers<br>• Attention mechanisms<br>• Ethical AI | Core AI concepts and best practices |
| 3. Hands-On Text Generation | • Prompt engineering<br>• GPT-4 completions<br>• Building custom applications | Functional text-generation projects |
| 4. Advanced Features | • JSON schemas and structured outputs<br>• Function calling workflows<br>• Moderation | Scalable, safe, and automated AI pipelines |
| 5. Vision & Image Generation | • DALL·E prompt design<br>• Image captioning<br>• Vision model ethics | AI-driven vision and multimodal applications |
Next Steps
With practical labs, real-world projects, and a supportive community forum, this course equips you to confidently build with OpenAI’s language and vision models. Enroll today and start unlocking AI’s potential!
References
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