Oracle Cloud Infrastructure AI Foundations Cert Prep

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Oracle Cloud Infrastructure AI Foundations Cert Prep
Released 11/2024
With Oracle University
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 4h 52m 1s | Size: 670 MB​

Get an overview of how to get started with practical AI applications in Oracle Cloud Infrastructure (OCI).

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.Note: This course was created by Oracle University. We are pleased to host this content in our library.
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Oracle Cloud Infrastructure AI Foundations Cert Prep
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 52m | 632 MB
Instructor: Rohit Rahi​

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.

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