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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.

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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.

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Course Highlights

TopicWhat You’ll DoOutcome
OpenAI Platform & ModelsExplore API endpoints and model capabilitiesUnderstand platform architecture
GPT-3 Text GenerationCraft prompts, generate content, automate tasksBuild chatbots and content automation pipelines
DALL·E Image SynthesisCreate images from text promptsGenerate custom visuals
Whisper Speech RecognitionTranscribe and analyze audioIntegrate speech-to-text features

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Prerequisites

Before you start, ensure you have:
  • Python installed
  • An OpenAI API key (get one at OpenAI)
  • Jupyter Notebook (Jupyter)

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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.

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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

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Next Steps

By course end, you’ll be ready to design, build, and deploy Generative AI applications using OpenAI’s robust API suite.

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References

Let’s embark on this exciting journey into the world of Generative AI!

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