Lesson 2: AI Technical Practitioner (AITECH) – AI Solutions, Data, Integration, and Automation

This lesson provides guided coverage of ai solutions, data, integration, and automation within the AI Technical Practitioner (AITECH) Training.

Topics Covered

• AI applications, assistants, agents, automation, and enterprise integration
• Data sources, pipelines, APIs, retrieval, vector concepts, and model services
• Networking, compute, storage, cloud, edge, and deployment requirements
• Automation workflows, infrastructure provisioning, and operational integration
• Security controls, access, secrets, data protection, and model safeguards
• Testing, validation, quality, and performance measures
• AI solution workflow exercise

Practical Outcome

Learners complete the lesson with a clear understanding of the workflow, the ability to validate the expected result, and a structured approach to common troubleshooting tasks.