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Building and Applying ChatGPT AI


Building and Applying ChatGPT AI

<p data-start="352" data-end="865">This course provides a <strong data-start="375" data-end="441">hands-on introduction to ChatGPT and conversational AI systems</strong>. Students will learn how large language models (LLMs) like GPT work, how to interact with them effectively through prompt engineering, and how to integrate them into applications using APIs and open-source frameworks. The course covers customization techniques (fine-tuning, embeddings, retrieval-augmented generation) and explores the responsible use of conversational AI in business, education, and creative industries.</p><p> </p><p data-start="867" data-end="1056">By the end of this course, students will be able to <strong data-start="919" data-end="1009">design, build, and deploy ChatGPT-powered assistants, chatbots, and productivity tools</strong> with strong ethical and practical grounding.</p>

Building and Applying ChatGPT AI

Building and Applying ChatGPT AI

Learn from Ocaus - Aevy

What You Will Learn

<li data-start="1483" data-end="1555"><p data-start="1486" data-end="1555"><strong data-start="1486" data-end="1497">Explain</strong> how ChatGPT and transformer-based language models work.</p>
</li><li data-start="1556" data-end="1630">
<p data-start="1559" data-end="1630"><strong data-start="1559" data-end="1568">Apply</strong> prompt engineering techniques to improve ChatGPT responses.</p>
</li><li data-start="1631" data-end="1695">
<p data-start="1634" data-end="1695"><strong data-start="1634" data-end="1643">Build</strong> conversational workflows and chatbots using APIs.</p>
</li><li data-start="1696" data-end="1785">
<p data-start="1699" data-end="1785"><strong data-start="1699" data-end="1712">Integrate</strong> ChatGPT into applications (customer support, productivity, education).</p>
</li><li data-start="1786" data-end="1874">
<p data-start="1789" data-end="1874"><strong data-start="1789" data-end="1802">Implement</strong> retrieval-augmented generation (RAG) for knowledge-grounded chatbots.</p>
</li><li data-start="1875" data-end="1948">
<p data-start="1878" data-end="1948"><strong data-start="1878" data-end="1891">Fine-tune</strong> or customize ChatGPT-like models for specific domains.</p>
</li><p>
</p><li data-start="1949" data-end="2033">
<p data-start="1952" data-end="2033"><strong data-start="1952" data-end="1962">Deploy</strong> safe, responsible, and user-friendly conversational AI applications.</p></li>

About The Course

  • Programming: Familiarity with Python.

  • Machine Learning Basics: Basic understanding of NLP concepts (tokens, embeddings).

  • Tools: Experience with APIs, Jupyter/Colab notebooks.

  • Optional: Prior exposure to Hugging Face or LangChain (helpful but not required).


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