Technology & AI

AI, Data Science & Workflow Automation

Build applied capability in AI tools, data workflows, automation, and responsible AI use.

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Pathway Overview

Focused Learning With a Practical Purpose

01

What It Prepares Learners to Do

Learners develop working capability across AI foundations, data analysis, machine learning, generative AI, and business automation.

02

Who It Is For

Professionals, students, analysts, and technical learners with a comfortable digital foundation.

03

What Makes It Practical

Guided labs connect data preparation, AI assistants, model experimentation, automation, and governance decisions.

What Learners Build

Evidence That Can Be Reviewed and Presented

Projects make the pathway visible. Learners document their process, explain decisions, respond to feedback, and improve the final work.

  • AI assistant prototype
  • Data dashboard
  • Machine learning model
  • Automation workflow
  • AI governance review
  • Applied AI capstone
AI workflow and data project portfolio object scene
Learning Structure

A Five-Phase Applied Progression

  1. 01Foundation

    Build essential concepts, context, and professional working habits.

  2. 02Core Tools

    Develop confidence with the tools and environments used in practice.

  3. 03Applied Projects

    Turn instruction into documented, reviewable practical work.

  4. 04Workplace Simulation

    Respond to realistic briefs, constraints, decisions, and feedback.

  5. 05Portfolio Review

    Present evidence, explain choices, and improve the final work.

Major Modules

Eight Focused Learning Chapters

Modules are designed as connected stages. Open each chapter for a concise view of its purpose.

01AI & Data Foundations

Core AI concepts, data thinking, and responsible use in professional settings.

02Python & Data Workflows

Prepare, explore, and transform data through practical Python workflows.

03Machine Learning

Build and evaluate introductory predictive models in guided data labs.

04Generative AI & Prompting

Design prompts, evaluate outputs, and create useful generative AI workflows.

05AI Agents & APIs

Connect AI services, APIs, and agent-style workflows to practical tasks.

06Data Pipelines & Dashboards

Move data from source to analysis and communicate results through dashboards.

07Responsible AI & Governance

Review privacy, bias, controls, documentation, and responsible deployment.

08Business AI Integration

Combine AI, data, and automation in a cross-sector applied solution.

Final Applied Project

Applied AI Systems Capstone

Learners define a practical problem, prepare relevant data, build an AI-enabled workflow, document controls, and present an evidence-based solution.

  • Automation workflow
  • AI governance review
  • Applied AI capstone
Completion Evidence

Certificate of Completion and Documented Skills

Learners who complete the required modules, assessments, applied projects, and final capstone may receive an AIDT Certificate of Completion for this Career Core Pathway.

AIDT Career Core certificate of completion preview
Completion evidence may include
  • Modules completed
  • Capstone title
  • Assessment status
  • Skills demonstrated
  • Project or portfolio link
  • Training dates
External Certification Preparation Support

Preparation Support Where Relevant

Selected learning may support preparation for relevant external vendor exams where applicable. Registration, fees, eligibility, and scheduling are handled by the respective providers.

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