Oracle Cloud Infrastructure 2023 AI Foundations Associate (1Z0-1122-23) — Lesson 2: OCI AI Services for Language, Vision, Speech, and Documents

Learning Objectives

• Explain the purpose and operating context of OCI Language sentiment, entities, classification, and translation concepts.
• Apply OCI Vision image classification, object detection, and document use cases and Speech transcription and Text-to-Speech awareness in a controlled environment.
• Validate outcomes and troubleshoot risks involving Document Understanding extraction, classification, confidence, and review.

Detailed Topics

• OCI Language sentiment, entities, classification, and translation concepts
• OCI Vision image classification, object detection, and document use cases
• Speech transcription and Text-to-Speech awareness
• Document Understanding extraction, classification, confidence, and review

Instructor Demonstration

Demonstrate OCI Language sentiment, entities, classification, and translation concepts for a business team selecting suitable OCI AI capabilities while recognizing limitations, risks, and governance needs; capture the exact configuration, code, command, transaction, query, dashboard, model, schedule, or report evidence that proves the expected result.

Hands-On Exercise

Complete a controlled Oracle Cloud Infrastructure 2023 AI Foundations Associate (1Z0-1122-23) exercise covering OCI Vision image classification, object detection, and document use cases and Speech transcription and Text-to-Speech awareness; introduce an exception involving Document Understanding extraction, classification, confidence, and review, diagnose it from evidence, apply the smallest reversible correction, and rerun acceptance checks.

1. Confirm scope, prerequisites, identities, dependencies, data, risks, and expected outcome.
2. Perform the course-specific configuration, development, administration, analysis, or business-process workflow.
3. Capture commands, settings, records, logs, screenshots, reports, metrics, or test results.
4. Compare the observed result with acceptance criteria and document corrective or preventive action.

Scenario Analysis

• Identify the technical or business decision and the stakeholders affected by it.
• Compare security, performance, reliability, compliance, cost, usability, and support trade-offs.
• Define rollback, recovery, communication, evidence, ownership, and escalation requirements.

Troubleshooting Guidance

Diagnose issues involving OCI Language sentiment, entities, classification, and translation concepts, OCI Vision image classification, object detection, and document use cases, Speech transcription and Text-to-Speech awareness, Document Understanding extraction, classification, confidence, and review without making an unverified production change. Separate symptoms from causes, gather time-correlated evidence, test a reversible hypothesis, validate the correction, and record recurrence controls.

Validation Checklist

• The requirement, environment, inputs, dependencies, and expected result are documented.
• The result is reproducible and supported by product-specific evidence.
• Normal, boundary, failure, security, performance, and operational conditions are reviewed.
• Exceptions, rollback, ownership, support actions, and the next improvement priority are recorded.

Lesson Outcome

Learners can apply OCI AI Services for Language, Vision, Speech, and Documents in a realistic Oracle Cloud Infrastructure 2023 AI Foundations Associate (1Z0-1122-23) scenario and defend the result with documented evidence.