Oracle Cloud Infrastructure AI Foundations (2025): Hands-on Workshop

Module 1: OCI AI Foundations Overview

• Employees want AI at work
• AI helps break the career ceiling
• AI is going mainstream
• For whom is this course intended?
• Course Outline
• Get Certified for FREE!
• Course Instructors
• Get the Most Out of This Course
• Get the Answers You Need
• Ratings and Feedback
• Keep Progressing: You're on Your Way to Success

Module 2: Introduction to AI

• Objectives
• What is Artificial Intelligence?
• Human Intelligence
• AI Examples
• AI Terminology
• Why do we need AI?
• AI Domains and Examples
• AI Tasks and Data
• Commonly Used AI Domains
• Language-Related AI Tasks
• Text as Data & Language AI Models
• Speech-Related AI Tasks
• Audio and Speech as Data & AI Models
• Vision-Related AI Tasks
• Images as Data & Vision AI Models
• Other AI Tasks
• AI vs. ML vs. DL: Understanding the Relationship
• Machine Learning Overview
• How Businesses Take Decisions
• Train a Model to Predict Outcomes
• Gain Insights by Clustering Data
• Deep Learning Overview
• Neural Networks
• Generative AI Introduction

Module 3: Machine Learning Foundations

• Objectives
• What is Machine Learning?
• ML Applications
• ML Model: Inputs and Outputs
• ML Model Example: Classifying Cats and Dogs
• Data Types
• Flavors of Machine Learning
• ML Examples & Limitations
• When is ML NOT the Optimal Solution?
• Supervised Learning – Classification & Regression
• Logistic Regression
• Evaluation Metrics
• Regression Line, Loss, Training a Model
• Unsupervised Learning
• Clustering, Similarity, Workflow
• Types of Clustering Algorithms
• K-Means Algorithm
• Use Cases in Unsupervised Learning

Module 4: Deep Learning Foundations

• Objectives
• Deep Learning Fundamentals
• What is Deep Learning & Why Do We Need It?
• Brief History and Types of Deep Learning Algorithms
• Artificial Neural Networks (ANNs)
• Building Blocks
• Handwritten Character Recognition Example
• Network Architecture
• Training ANNs
• Sequence Models: RNNs & LSTM
• Convolutional Neural Networks (CNNs)
• Layers Overview, Feature Extraction, Limitations
• Applications of CNNs

Module 5: Generative AI and Large Language Models (LLMs)

• Objectives
• Introduction to Generative AI
• What is Generative AI?
• How it Works
• Difference from Other AI Approaches
• Types and Applications of Generative AI Models
• Introduction to Large Language Models
• LLM Examples, Features, Model Size, Parameters
• Transformers: Part 1 & Part 2
• Encoder-Decoder Architecture, Tokens, Embeddings
• Attention Mechanism
• Transformer Model Types
• Prompt Engineering
• In-Context Learning, Few-shot Prompting, Chain-of-Thought
• Hallucination
• Customizing LLMs with Your Data
• Retrieval-Augmented Generation (RAG)
• LLM Fine-Tuning and Inference

Module 6: OCI AI Portfolio

• Objectives
• AI Services Overview
• AI for the Enterprise
• Oracle AI Stack
• Ways to Access OCI AI Services

Overview of AI Services: Language, Vision, Speech, Document Understanding, Digital Assistant

• ML Services Overview
• OCI Data Science: Principles, Features, Terminology
• AI Infrastructure Overview
• GPU Overview, Nvidia GPU Comparison
• OCI Supercluster with Blackwell and Hopper GPUs
• GPU Use Cases
• Responsible AI
• Trustworthy AI, Guiding Principles
• Ethics, Law, Human Rights
• Ethical Principles and Responsible AI Cycle
• Healthcare AI Challenges

Module 7: OCI Generative AI Service

• OCI Generative AI Introduction
• OCI Generative AI Service Overview
• How OCI Generative AI Service Works
• Pretrained Foundational Models & Fine-Tuning
• Dedicated AI Clusters
• AI Vector Search with Oracle Database 23ai
• Database-Native Vector Embedding Generation
• Vector Datatype, Distance Function, Search SQL
• Similarity Search and AI Vector Search Pipelines
• Natural Language Queries with Autonomous Database
• Select AI: Translating Language to Oracle SQL
• Developing Applications with Select AI
• SQL Query Generation Process Flow

Module 8: OCI AI Services

• Objectives
• OCI Language: Overview and Features
• OCI Speech: Overview and Console Walkthrough
• OCI Vision: Overview, Image Analysis, Console Walkthrough
• Document Understanding: OCI Vision / Document AI
• Oracle AI APIs and SDKs Overview