Currently Empty: $0.00
Machine Learning & Applied Artificial Intelligence
 Program Level: Practitioner
Total Duration: 96 Hours
Delivery: Cohort-Based + Instructor-Led + Hands-On Labs
Pathway: Foundation→ Practitioner
PROGRAM GOAL
AI Practitioner moves students from understanding AI to building and evaluating AI systems.
Students are introduced to the machine learning lifecycle:
Data → Preparation → Features → Model → Training → Evaluation → Improvement → Application
The program emphasizes hands-on experimentation using age-appropriate datasets, Python-based tools, and controlled AI environments.
PROGRAM STRUCTURE
|
Module |
Topic |
 |
Hours |
|
Module 1 |
Machine Learning Fundamentals |
 |
24 |
|
Module 2 |
Data Science & Analytics |
 |
20 |
|
Module 3 |
Computer Vision |
 |
20 |
|
Module 4 |
AI Model Development |
 |
16 |
|
Module 5 |
Applied AI Project |
 |
16 |
|
Total |
 |  |
96 Hours |
Curriculum
- 5 Sections
- 31 Lessons
- 96 Hours
Expand all sectionsCollapse all sections
- MODULE 1 — MACHINE LEARNING FUNDAMENTALS - 24HoursModule Objective Introduce the fundamental concepts of machine learning and demonstrate how computers can learn patterns from data to make predictions or classifications.7
- MODULE 2 — DATA SCIENCE & ANALYTICS - 20HoursModule Objective Teach students how data is prepared, analyzed, visualized, and transformed into useful information for AI systems.7
- MODULE 3 — COMPUTER VISION - 20HoursModule Objective Introduce how AI systems process and interpret images and visual information.6
- MODULE 4 — AI MODEL DEVELOPMENT - 16HoursModule Objective Introduce the complete AI development workflow and teach students how to test, evaluate, and improve AI models.5
- MODULE 5 — APPLIED AI PROJECT -16HoursModule Objective Apply machine learning, data science, computer vision, and AI development concepts to create an end-to-end AI project.6









