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Last Updated: Sep 13, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Intro to Generative AI and LLMs | 15% | - Explain LLM Fine Tuning - Discuss Generative AI Overview - Explain Transformers Fundamentals - Discuss Large Language Models Fundamentals - Explain Prompt Engineering and Instruction Tuning |
| Topic 2: Get started with OCI AI Portfolio | 15% | - Discuss OCI ML Services Overview - Discuss OCI AI Infrastructure Overview - Discuss OCI AI Services Overview - Explain Responsible AI |
| Topic 3: OCI Generative AI and Oracle 23ai | 10% | - Discuss Oracle Vector Search - Discuss Autonomous Database Select AI - Describe OCI Generative AI Services |
| Topic 4: Intro to AI Foundations | 10% | - Discuss AI Applications and Types of Data - Explain AI vs ML vs DL - Discuss AI Basics |
| Topic 5: Intro to DL Foundations | 15% | - Discuss Deep Learning Fundamentals - Explain Convolutional Models (CNN) - Explain Sequence Models (RNN and LSTM) |
| Topic 6: Intro to OCI AI Services | 20% | - OCI Language - OCI Vision - OCI Document Understanding - OCI Speech |
| Topic 7: Intro to ML Foundations | 15% | - Explain Machine Learning Basics - Discuss Reinforcement Learning Fundamentals - Discuss Unsupervised Learning Fundamentals - Discuss Supervised Learning Fundamentals
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What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?
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What does " fine-tuning " refer to in the context of OCI Generative AI service?
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Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages?
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In machine learning, what does the term " model training " mean?
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What key objective does machine learning strive to achieve?
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