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Oracle Cloud Infrastructure AI Foundations Cert Prep

Oracle Cloud Infrastructure AI Foundations Cert Prep

4h 52mIntermediate2024-11-05

Authors

Oracle University

Oracle University

Building Cloud Proficiency on Oracle Cloud Infrastructure

Course details

Get up and running with AI and machine learning in Oracle Cloud Infrastructure (OCI). This course from Oracle University is designed to introduce beginners to practical applications of AI available in OCI. Gain 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. Along the way, explore specific OCI tools and services, including OCI Generative AI, Oracle Database 23ai, and other OCI services, such as vision, speech, language, and document understanding.

Learning objectives
Describe the fundamentals of generative AI and large language models (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, including OCI Generative AI and Oracle Database 23ai.

Skills covered

Oracle Cloud InfrastructureCloud AdministrationOracleArtificial Intelligence FoundationsCert 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 one
  • 13 - Demo - Basic machine learning - Part two
  • 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 - CNN

4. Generative AI and LLM Foundations

  • 20 - Module introduction
  • 21 - Introduction to generative AI
  • 22 - Introduction to large language models
  • 23 - Transformers - Part one
  • 24 - Transformers - Part two
  • 25 - Prompt engineering
  • 26 - Customize LLMs with your data

5. OCI AI Portfolio

  • 27 - Module introduction
  • 28 - AI services overview
  • 29 - ML services overview
  • 30 - AI infrastructure overview
  • 31 - GPUs and superclusters in OCI
  • 32 - Responsible AI

6. OCI Generative AI Service

  • 33 - Module introduction
  • 34 - OCI generative AI
  • 35 - Demo - OCI generative AI
  • 36 - Vector search
  • 37 - Select AI

7. OCI AI Services

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

Conclusion

  • 48 - Prepare for the OCI AI Foundations Associate certification

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