Generative AI using Azure OpenAI ChatGPT for Beginners

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

Screenshot of the Azure OpenAI Studio interface showing a Deploy model dialog box with fields for Select a model set to gpt-35-turbo and Deployment name. — Preview 1 of 4
This screenshot displays the Azure OpenAI Studio deployment configuration window, highlighting the selection of the gpt-35-turbo model and the input field for naming the new deployment.

A screenshot of the Azure OpenAI portal showing a modal dialog titled 'Create content filtering configuration'. The interface displays settings for customizing severity levels (Low — Preview 2 of 4
This interface allows users to configure content filtering by setting specific severity thresholds for hate, sexual, self-harm, and violence in both user prompts and model completions.

A screenshot of a PyCharm IDE window displaying Python code that calculates the similarity score between two text embeddings using the OpenAI API and NumPy. — Preview 3 of 4
This screen capture shows a Python script in an IDE calculating the dot product similarity between two text embeddings generated via the OpenAI API.

A screenshot of a PyCharm IDE showing Python code that uses the OpenAI API to transcribe an audio file named sample_english.m4a, with the terminal output displaying the resulting ' — Preview 4 of 4
This screenshot shows a Python script in PyCharm using the OpenAI Audio API to transcribe an audio file, with the terminal output confirming the successful extraction of text.