Bharath Thippireddy

    Generative AI using OpenAI API for Beginners

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    Generative AI · Online Course

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    Aspiring developers and tech enthusiasts looking to break into the world of artificial intelligence will find "Generative AI using OpenAI API for Beginners" by Bharath Thippireddy to be an invaluable launchpad. This hands-on, practical course simplifies the integration of OpenAI's powerful language, audio, and image models using Python. Designed specifically for beginners, the curriculum begins with the absolute basics, guiding students through setting up an OpenAI account, generating API keys, and writing their first basic scripts. As learners progress, they explore more advanced topics, such as working with text completion models for sentiment analysis and text classification, using the Moderation API to ensure safe content, and mastering the Whisper model for audio transcription and translation. Additionally, the course dives into visual creativity with DALL-E for image generation and editing, while also introducing the foundational concept of text embeddings. By mastering these APIs step-by-step, developers can effortlessly build intelligent, context-aware applications, handle error-prone APIs gracefully, and craft robust AI-driven solutions that stand out in today's tech landscape.

    About the creator

    Bharath Thippireddy

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    Bharath Thippireddy
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    Bharath Thippireddy is an experienced software engineer and educator dedicated to making complex programming and artificial intelligence concepts highly accessible to learners worldwide. With a background deeply rooted in enterprise software development, Bharath specializes in bridging the gap between theoretical knowledge and real-world application. His courses span a diverse range of technical disciplines, including backend engineering with Java Web Services, modern frontend development using React with Node and Java backends, and fundamental programming with Python. As the technological landscape has evolved, Bharath has also expanded his curriculum to encompass cutting-edge artificial intelligence, teaching beginners how to build no-code AI agents…Show more

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    Program Overview

    Online Course

    Learning format

    Generative AI

    Subcategory

    $19.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Understand the fundamentals of AI,Generative AI and OpenAI API
    • Setup OpenAI account and Key
    • Create and run your first OpenAI API Python Program
    • Learn how to process the JSON Response
    • Control the model behaviour by passing in different parameters
    • Use the Text Completion Model to do Sentimental Analysis
    • Use the Text Completion Model to classify text, generate code and more
    • Learn what roles are and how to use them in the request
    • Maintain the context across requests
    • Moderate text using the Text Moderation AI Model
    • Receive and Handle Multiple Responses
    • Handle errors gracefully
    • Control the quality of the response
    • Use Whisper AI model to generate text from audio
    • Translate audio from other languages to english
    • Use audio and text models together
    • Generate Images using DALL.E Model
    • Edit Images using DALL.E Model
    • Understand what text embeddings are
    • Work on various use-cases using the Open AI Embedding Models
    • Master Open AI API in simple steps

    Best For

    • Python developers eager to integrate generative AI features into their applications.
    • Tech professionals looking for a practical, step-by-step introduction to the OpenAI ecosystem.
    • Beginners wanting hands-on experience with LLMs, Whisper, and DALL-E APIs.
    • Software engineers who want to learn how to handle API requests and JSON responses in real-world AI projects.

    Not For

    • Advanced researchers looking for deep mathematical explanations of transformer architectures.
    • Individuals without any prior experience in programming or Python syntax.
    • Developers looking to build custom, fine-tuned models from scratch rather than using pre-trained APIs.
    • Learners seeking theoretical data science academic papers rather than practical implementation.

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