Mastering Generative AI with OpenAI
Introduction
Introduction to Course
Hello and welcome! I’m Janakiram MSV, your instructor for this hands-on course where we’ll dive deep into OpenAI’s advanced Generative AI platform. By the end of this journey, you’ll have the skills to integrate GPT-3, DALL·E, and Whisper into real-world applications.
Why Generative AI?
OpenAI’s foundational models power breakthrough applications in text, image, and speech generation. You’ll learn how Generative AI differs from traditional machine learning and deep learning, and master the techniques that drive modern AI innovation.
Course Highlights
| Topic | What You’ll Do | Outcome |
|---|---|---|
| OpenAI Platform & Models | Explore API endpoints and model capabilities | Understand platform architecture |
| GPT-3 Text Generation | Craft prompts, generate content, automate tasks | Build chatbots and content automation pipelines |
| DALL·E Image Synthesis | Create images from text prompts | Generate custom visuals |
| Whisper Speech Recognition | Transcribe and analyze audio | Integrate speech-to-text features |
Prerequisites
Before you start, ensure you have:
Hands-On Labs with Jupyter Notebooks
Each module comes with a self-paced lab in a Jupyter Notebook so you can practice concepts and experiment with real API workflows.
Real-World Use Cases
- Automated content creation and summarization
- Conversational agents for customer support
- Custom image generation for marketing assets
- Automated transcription and speech analytics
Next Steps
By course end, you’ll be ready to design, build, and deploy Generative AI applications using OpenAI’s robust API suite.
References
- OpenAI API Reference
- DALL·E Documentation
- Whisper Documentation
- Jupyter Notebook
- KodeKloud Community Forum
Let’s embark on this exciting journey into the world of Generative AI!
Watch Video
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