
Explore Azure OpenAI fundamentals, cover concepts, models, and features, and examine real-world use cases before diving into labs and application building.
Explore prompts and completions within Azure OpenAI, labeling the prompt input and model-generated completion while grounding concepts with practical examples and token basics.
Compare the Curie model with Da Vinci in speed and depth, showing when to use Query for sentiment, classification, summarization, and question answering.
Understand prompt engineering: design prompts, fine-tune GPT models with curated datasets, and use Azure OpenAI APIs to produce accurate, engaging responses for specific tasks.
Understand data sets and how high-quality data enables fine tuning of models, guiding you to upload datasets in Azure OpenAI for tailored, higher quality responses.
Clone the OpenAI samples repository on GitHub, inspect the completions README, and install dependencies from requirements.txt. Configure the environment and model name to run a ChatGPT function demo.
Explore embeddings with Azure OpenAI to convert sentences into vector representations, compute cosine similarity, and apply semantic meaning to downstream tasks such as sentiment analysis.
Clone a GPT-based repository, set up a chat-like bot, and run the demo in Visual Studio Code. Install streamlit, pandas, and Jinja2, then run streamlit app.py to configure OpenAI API.
Welcome to the "Azure Open AI & Prompt Engineering Zero to Hero with Chatgpt" course!
In this course, you will learn how to work with Azure OpenAI, specifically the GPT-3.5/4 model and how to use it for prompt engineering, which is the art of crafting effective prompts to generate high-quality text responses. You will start with the basics of Azure OpenAI and progress to more advanced topics, such as prompt engineering, data preparation, and model fine-tuning.
By the end of this course, you will have a strong understanding of Azure OpenAI and how to use it for prompt engineering, as well as the skills to build your own powerful AI applications using GPT-3.5.
This course is designed for developers and data scientists who are interested in learning how to work with Azure OpenAI and want to become proficient in prompt engineering.
Learn about the fundamentals of Azure Open AI and Prompt Engineering.
Understand the concept of natural language processing and how it works with AI.
Dive deep into the principles of prompt engineering, and how it can be used to generate human-like text.
Explore the different tools and platforms offered by Azure for Open AI and Prompt Engineering.
Understand the importance of pre-training and fine-tuning in creating robust AI models.
Discover how to use GPT-3 models for text completion and generation.
Learn how to train and deploy GPT-3 models on Azure.
Gain insights into best practices for working with Open AI and Prompt Engineering.
Learn about the ethical considerations and potential risks associated with AI and how to mitigate them.
By the end of this course, you will have a solid understanding of Azure Open AI and Prompt Engineering and be able to apply this knowledge to create powerful and effective AI models. Whether you are a developer, data scientist, or AI enthusiast, this course will provide you with the skills and knowledge you need to take your AI projects to the next level.
Enroll today and start your journey to becoming an Azure OpenAI and prompt engineering expert!