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Oracle Cloud Infrastructure AI Foundations

Oracle Cloud Infrastructure AI Foundations

4h 59mIntermediate2025-07-23

Authors

Oracle University

Oracle University

Building Cloud Proficiency on Oracle Cloud Infrastructure

Course details

In this beginner-friendly course, learn about AI, ML, and their practical applications within Oracle Cloud Infrastructure (OCI). Explore a comprehensive overview of the AI landscape, the fundamentals of deep learning, and the role of generative AI and large language models (LLMs) in modern computing. Learn about OCI Generative AI Services, Oracle 23ai Vector Database, and other OCI AI Services, such as vision, speech, language, and document understanding, using a structured approach that is both effective and engaging. This course prepares you to apply your new understanding of AI and ML to OCI.

Learning objectives
Describe the fundamentals of Generative AI and LLMs.
Differentiate between various machine learning and deep learning architectures.
Explore the Oracle AI stack, including infrastructure, data, ML, and AI services.
Describe OCI’s extensive AI tools portfolio and Generative AI services.
Analyze ML fundamentals, focusing on supervised and unsupervised learning techniques.
Examine deep learning through convolutional and sequence models such as CNNs, RNNs, and LSTMs.
Evaluate the capabilities and applications of Generative AI models and language frameworks.
Leverage OCI AI Services, OCI ML Services, OCI Generative AI, Oracle 23ai, and Oracle Select AI.

Skills covered

Oracle Cloud InfrastructureCloud AdministrationOracleArtificial Intelligence FoundationsCloud ServicesCert PrepArtificial Intelligence (AI)Cloud Computing

Concepts

0. Introduction

  • 01 - Welcome to AI foundations

1. AI Foundations

  • 02 - Module introduction
  • 03 - Introduction to AI
  • 04 - AI - Tasks and data
  • 05 - Demo - AI
  • 06 - AI vs. ML vs. DL

2. Machine Learning Foundations

  • 07 - Module introduction
  • 08 - Introduction to machine learning
  • 09 - Supervised learning - Regression
  • 10 - Supervised learning - Classification
  • 11 - Demo - Introduction to Jupyter notebooks
  • 12 - Demo - Basic machine learning, part 1
  • 13 - Demo - Basic machine learning, part 2
  • 14 - Unsupervised learning
  • 15 - Reinforcement learning

3. Deep Learning Foundations

  • 16 - Module introduction
  • 17 - Introduction to deep learning
  • 18 - Deep learning models - Sequence models
  • 19 - Deep learning models - Convolutional neural networks (CNN)
  • 20 - Demo - Classification with multilayer perceptron

4. Generative AI and LLM Foundations

  • 21 - Module introduction
  • 22 - Introduction to generative AI
  • 23 - Introduction to LLMs
  • 24 - Transformers, part 1
  • 25 - Transformers, part 2
  • 26 - Prompt engineering
  • 27 - Customize LLMs with your data

5. OCI AI Portfolio

  • 28 - Module introduction
  • 29 - AI services overview
  • 30 - ML services overview
  • 31 - AI infrastructure overview
  • 32 - GPUs and superclusters in OCI
  • 33 - Responsible AI
  • 34 - Demo - Data science

6. OCI Generative AI Service

  • 35 - Module introduction
  • 36 - OCI generative AI
  • 37 - Demo - OCI generative AI
  • 38 - Vector search
  • 39 - Select AI

7. OCI AI Services

  • 40 - Language introduction
  • 41 - Demo - Language
  • 42 - Speech introduction
  • 43 - Demo - Speech
  • 44 - Vision introduction
  • 45 - Demo - Vision
  • 46 - Document understanding
  • 47 - Demo - Document understanding
  • 48 - Oracle AI APIs and SDKs

Conclusion

  • 49 - Prepare for OCI AI Foundations Associate certification

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