1Z0-1122-23 | Oracle Cloud Infrastructure 2023 AI Foundation

1Z0-1122-23 | Oracle Cloud Infrastructure 2023 AI Foundations Associate

1Z0-1122-23 | Oracle Cloud Infrastructure 2023 AI Foundations Associate

Job Roles: Cloud Beginners, Solution Architect, Developer, DevOps Engineer, Security Engineer/Architect, Sys Admin, Cloud Engineer, Data Engineer, Data Scientist/ML Engineer

This learning path is designed for individuals who want to gain a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML).

In this learning path, you will learn to:

• Common AI terminology, including machine learning, deep learning, data science, neural networks etc

• OCI AI services and AI infrastructure

• Generative AI basics including LLM, GAN, and Transformers

• AI and ML best practices

  
  

In addition to the job roles mentioned, this learning path is designed to provide individuals with a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML). Throughout this learning path, you will gain an understanding of common AI terminology, including machine learning, deep learning, data science, neural networks, and more.

You will also explore the Oracle Cloud Infrastructure (OCI) AI services and AI infrastructure, which will enable you to leverage cloud-based tools and resources for AI and ML development. This includes understanding how to utilize OCI AI services for tasks such as image recognition, natural language processing, and predictive analytics.

Furthermore, this learning path covers the basics of generative AI, including concepts such as Language Models (LLMs), Generative Adversarial Networks (GANs), and Transformers. You will learn how these techniques are used in various applications, such as image synthesis and text generation.

Throughout the learning path, you will also gain insights into AI and ML best practices. This includes understanding how to approach data preparation, model training, and evaluation. You will also explore considerations for deploying and scaling AI and ML solutions in production environments.

By completing this learning path, you will have a solid foundation in AI and ML concepts, as well as practical skills in utilizing cloud-based AI services, generative AI techniques, and implementing AI and ML best practices. This knowledge will enable you to pursue various roles in the AI and ML domain, such as data engineer, data scientist, machine learning engineer, or AI solution architect.