Requirements

• Basic Knowledge of Cloud Concepts
• Understanding of AI and Machine Learning Basics

Description

Practice Exam Overview

This practice exam is designed to comprehensively cover all the topics included in the certification exam. It is divided into 6 sections, with each section containing 60 questions. These sections will help you assess your knowledge across all relevant areas and ensure thorough preparation for the certification exam.

Course Description: 1Z0-1122-24 OCI 2024 AI Foundations Associate

The Oracle Cloud Infrastructure (OCI) 2024 AI Foundations Associate (1Z0-1122-24) certification is designed for individuals aiming to gain foundational knowledge in Artificial Intelligence (AI) and Machine Learning (ML) concepts using Oracle Cloud Infrastructure (OCI). This certification provides learners with the skills required to understand and apply OCI AI services in real-world scenarios, enabling organizations to harness the power of AI for innovation and decision-making.

Detailed Course Titles and Modules

Module 1: Introduction to Cloud Computing and Oracle Cloud Infrastructure

• Overview of Cloud Computing Models:

  • Public, Private, and Hybrid Clouds.

  • Key benefits and challenges of cloud adoption.

• Introduction to OCI:

  • Core OCI architecture and global data centers.

  • Networking, compute, and storage in OCI.

• Getting Started with OCI AI Services:

  • Creating an Oracle Cloud account (Free Tier).

  • Overview of OCI services relevant to AI and ML.

Module 2: Foundations of Artificial Intelligence and Machine Learning

• AI and ML Fundamentals:

  • Key concepts: AI, ML, Deep Learning.

  • Supervised, Unsupervised, and Reinforcement Learning.

• Common AI Use Cases:

  • Fraud detection, recommendation systems, sentiment analysis, and more.

• Ethics in AI:

  • Data privacy, fairness, and transparency in AI.

Module 3: OCI AI and ML Services

• OCI Vision:

  • Image recognition, text extraction, and custom vision model deployment.

• OCI Language:

  • Sentiment analysis, language detection, and key phrase extraction.

• OCI Speech:

  • Speech-to-text and custom speech model development.

• OCI Anomaly Detection:

  • Identifying anomalies in time-series data.

• OCI Data Science:

  • Overview of the OCI Data Science service.

  • Creating and managing Jupyter Notebooks for model training.

Module 4: Hands-On Lab - Building AI Solutions with OCI

• Lab 1: Using OCI Vision for Image Classification.

  • Step-by-step guide to creating a custom image classification model.

• Lab 2: Analyzing Sentiment with OCI Language.

  • Setting up and deploying sentiment analysis pipelines.

• Lab 3: Real-Time Speech Transcription with OCI Speech.

  • Implementing speech-to-text workflows.

• Lab 4: Detecting Anomalies in Data Streams.

  • Leveraging OCI Anomaly Detection for real-world datasets.

Module 5: Deployment and Monitoring of AI Models on OCI

• Deploying AI Models Using OCI Services:

  • Best practices for deploying and scaling AI solutions.

• Monitoring AI Models:

  • Tools for tracking model performance.

  • Addressing model drift and re-training strategies.

Module 6: Certification Exam Preparation

• Exam Overview:

  • Exam structure, question types, and preparation tips.

• Sample Questions and Mock Exams:

  • Practice tests covering all certification topics.

• Review and Recap:

  • Key takeaways from each module.

Key Learning Objectives

• Understand foundational AI and ML concepts and their applications.

• Explore and utilize OCI AI services, including Vision, Language, Speech, and Anomaly Detection.

• Build and deploy AI-driven solutions on OCI through hands-on labs.

• Develop a working knowledge of ethical considerations in AI implementation.

• Prepare effectively for the 1Z0-1122-24 certification exam with confidence.

This course is ideal for cloud enthusiasts, developers, and business professionals aiming to integrate AI capabilities into their projects using Oracle Cloud Infrastructure.

Who this course is for:

• EVERYONE