Welcome to the course on utilizing OpenAI to build LLM (Language Model) powered applications. This comprehensive program will equip you with the essential skills to harness the capabilities of OpenAI and GenerativeAI effectively.

Throughout the course, you will start by familiarizing yourself with OpenAI and GenAI, understanding their core concepts and functionalities. You will learn how to create an OpenAI key, granting you access to the vast array of tools at your disposal.

Diving deeper, the course will explore the art of Prompt Engineering, a pivotal technique for refining model responses. You will also delve into the fascinating realms of Zero, One, and Few-Shot Learning, understanding how to make the most of these innovative approaches.

Moreover, the course will introduce you to Model Fine-Tuning, allowing you to adapt pre-existing models to suit your specific applications effectively.

To apply your newfound knowledge practically, the course will guide you in creating a Customer Support Assistant using Google Colab, a hands-on experience to build real-world applications. Furthermore, you will explore the development of a PDF question-answering system, adding another valuable skill to your portfolio.

Join us on this journey to unlock the potential of OpenAI and GenAI, and gain the expertise to build LLM-powered applications with confidence and proficiency.

Course Content:

• Introduction to OpenAI and GenAI
• How to create OpenAI key
• What is Prompt Engineering
• What is Zero, One and Few - Shot Learning
• Introduction to Model fine-tuning
• Creating a Customer Support Assistant in Google Colab
• Creating a PDF question answering system.