Learn how to use Automated Machine Learning to train a labeled dataset and develop a production object detection model.

Learn what data you can analyze by choosing prebuilt Forms Analyzer models and how to deploy these models in a Document intelligence solution.

Discover how to use generative AI to create summaries of technical documents and how to use those key points to create executive presentations to have better conversations with leaders and executives.

Learn to use the OpenAI API for natural language processing in JavaScript, focusing on practical applications and integration techniques.

This course covers various endpoints of the Open AI API with GPT and how it can accomplish NLP tasks such as text completion, summarization, and classification.

Excel in OpenAI APIs using Python. Discover API key authentication, access to completions APIs via endpoints, model configurations, and control of creativity and response length.

Explore GPT models in the OpenAI Playground. Experiment with parameters to fine-tune responses and learn how to utilize multiple APIs, including chat completions and assistant APIs.

Explore fine-tuning AI models like GPT-3 and 4 with OpenAI APIs. Learn to utilize the Assistants API and understand the creation and comparison of text embeddings.

Explore OpenAI's DALL-E and Whisper models. Generate stunning images with text prompts, transcribe and translate multilingual audio with high accuracy.

This course demystifies convolutional neural network architectures using PyTorch for image classification and object detection.

Understand value-based methods in reinforcement learning for optimizing decision-making processes.

Explore large language models (LLMs) and vector databases, including ANN search, similarity methods, and practical skills using BERT and ChromaDB embeddings.