Explore Generative AI Studio on GCP. Learn language model training, tuning, performance evaluation, deployment, and speech-to-text conversion.

Learn Vertex AI on GCP: end-to-end ML workflows, model deployment, training, data preparation, feature engineering, and evaluation for effective AI solutions.

Leverage Vertex AI on GCP for generative AI projects. Explore genAI models, AI Studio, Vertex API, model garden, custom model creation, and ethical AI development.

Explore Azure OpenAI service. Learn about models, practical uses, text answering, pricing, limitations, and future prospects of Azure OpenAI.

Explore how Generative AI is transforming businesses and boosting careers. Learn how AI-driven creativity can enhance business operations and open new career opportunities in various industries.

Hands-on experience with Generative AI models for cutting-edge applications using LLMs and diffusion models for content generation and more.

Generative AI: Getting Started

Learn to implement genetic algorithms in Elixir, focusing on optimization techniques and practical applications in various problem domains.

Azure AI Services is a collection of services that are building blocks of AI functionality you can integrate into your applications. In this learning path, you'll learn how to provision, secure, monitor, and deploy Azure AI Services resources and use them to build intelligent solutions.

This module provides engineers with the skills to begin building an Azure OpenAI Service solution.

Master GenAI to get things done and solve real-world problems. Explore how generative AI can streamline workflows, enhance productivity, and create innovative solutions.

Get started with this course today to join this exciting & growing field by learning Advanced ML Algorithms & Data Science!