Gen Artificial intelligence: Generative Artificial Intelligence refers to the use of AI to create new content, like text, images, music, audio, and videos. Generative AI is powered by artificial intelligence or programming models (large AI models) that can multi-task and perform out-of-the-box tasks, including summarization, classification, etc. Plus, with minimal training required, foundation models can be adapted for targeted use cases with very little example data. To discuss further Gen AI works by using an Machine Learning (ML) model to learn the patterns and relationships in a dataset of human-created content. It then uses the learned patterns to generate new content. The most common way to train a generative AI model is to use supervised learning - the model is given a set of human-created content and corresponding labels. It then learns to generate content that is similar to the human-created content and labelled with the same labels.
Generative AI solutions used in repetitive contents, creating insights and answers (like FAW, Support, etc.) via text, images, and user-friendly formats. Gen AI solutions are being developed for:
Generative AI is a fairly new concepts still evolving, there are many form of artificial intelligence certification available, in which models are trained to generate new original content based on natural language input. In other words, you can describe a desired output in normal everyday language, and the model can respond by creating appropriate text, image, code, and more.
Take this learning path to get started with generative AI. In it, you'll:
The future of artificial intelligence (AI) will be open. New and innovative capabilities in areas like generative AI will come from all corners of the technology ecosystem and from companies distributed around the globe — from early-stage startups to cloud-native AI platforms to large, global enterprises. The momentum in this space is incredible. In fact, we've seen a significant acceleration in the number of AI startups Cloud Program.
To help customers and developers harness this innovation, we’re bringing the best of infrastructure, AI products, and foundation models to partners at every layer of the AI stack: chipmakers, companies building foundation models and AI platforms, technology partners enabling companies to develop and deploy machine learning (ML) models, app-builders solving customer use-cases with generative AI, and global services and consulting firms that help enterprise customers implement all of this technology at scale.
Below is a general curriculum that covers the fundamental topics and skills you should consider when studying machine learning and AI. Depending on your prior knowledge and the depth of understanding you desire, you may need to adjust the curriculum to suit your needs.
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6-8 WEEKS
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3-4 WEEKS