{"id":3373,"date":"2026-08-10T09:04:22","date_gmt":"2026-08-10T09:04:22","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-generative-ai-openai-api-deepseek-and-chatgpt-in-python-2025-11\/"},"modified":"2026-08-10T09:04:22","modified_gmt":"2026-08-10T09:04:22","slug":"udemy-generative-ai-openai-api-deepseek-and-chatgpt-in-python-2025-11","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-generative-ai-openai-api-deepseek-and-chatgpt-in-python-2025-11\/","title":{"rendered":"Udemy \u2013 Generative AI: OpenAI API, DeepSeek, and ChatGPT in Python 2025-11"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Generative AI: OpenAI API, ChatGPT, and GPT-4 in Python. Using ChatGPT and GPT-4, you will learn how to work with the most advanced Large Language Models (LLM) in the world. This course is essential for those who want to use this advanced technology for their business and work projects. This course consists of five main sections:<\/span><\/p>\n

1. API Basics: All the basics: Sign up for an account, get an API key, set environment variables on Windows\/Linux\/Mac, use the API in Python, set up billing, understand OpenAI\u2019s pricing model and usage policies. Of note is the chatbot tutorial that explains how to incorporate chat history into the model so that ChatGPT remembers what it has told you before. During this course, a customer service chatbot will serve as a running example.<\/span><\/p>\n

2. Message Engineering: ChatGPT Message Engineering for Developers \u2013 All about how to make ChatGPT do what you want. We cover various application examples such as receiving structured data (JSON, tables) from ChatGPT, sentiment analysis, language translation, creative writing, text summarization and Q&A. We\u2019ll explore techniques like chain of thought (CoT) and even look at how to use ChatGPT to build a stock trading system!<\/span><\/p>\n

3. Retrieval Augmented Production (RAG): Learn how to incorporate external data into LLMs. This powerful technique helps reduce a common problem called \u201cillusioning.\u201d This is critical when you have proprietary data (such as product information for your company) that your LLM is unaware of. You will learn how semantic search \/ similarity search works and how to implement it using FAISS (Facebook Artificial Intelligence Similarity Search Library). Learn how this allows you to \u2018chat with your data\u2019.<\/span><\/p>\n

4. Fine-tuning: Learn how to \u201ctrain\u201d ChatGPT on your dataset so it works the way you want. Sometimes message engineering and RAG are not enough.<\/span><\/p>\n

5. Visualized GPT-4: Everything in this era can be done with GPT-4, but what makes GPT-4 (and GPT-4 Turbo) special is its visual capabilities. That is, it can understand images. In this section, we will explore many amazing applications of combined text and image comprehension, some of which include: automated homework assessment, explaining memes and humor, handwriting transcription, web development, game development, and writing product descriptions based on Images (confused owners \u2013 you already know how this will dramatically increase your productivity).<\/span><\/p>\n

During this course, you will participate in hands-on exercises, real-world applications, and expert guidance to strengthen your understanding and mastery of generative AI concepts. Whether you are a seasoned developer, aspiring AI enthusiast, or industry professional, this course offers a transformative experience that will enable you to harness the true potential of AI.<\/span><\/p>\n

What you will learn in the course<\/span><\/h3>\n