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Course Outline
University & Career Preparation Track
Program Level: Engineering Capstone
Total Duration: 96 Hours
Delivery: Cohort-Based + Instructor-Led + Hands-On Labs
Pathway: Foundation→ Practitioner→ Specialist → Engineering Capstone
The pathway brings together:
- Generative AI
- Large Language Models
- AI application engineering
- AI APIs
- AI security
- Responsible AI
- Cloud AI systems
- AI architecture
- Human-AI interaction
- Research and implementation
PROGRAM GOAL
AI Engineering Capstone represents the final stage of the SkillNexa AI pathway.
Students transition from learning AI concepts and building individual models to engineering complete AI-powered applications and systems.
The program emphasizes:
Research → Architecture → Development → Integration → Testing → Responsible AI → Deployment Concepts → Presentation
By the end of the program, students will have an AI engineering portfolio containing a substantial capstone project, technical documentation, research work, and an application demonstration.
PROGRAM STRUCTURE
|
Module |
Topic |
Hours |
|
Module 1 |
Generative AI & Large Language Models |
20 |
|
Module 2 |
AI Engineering |
20 |
|
Module 3 |
AI Security & Responsible AI |
16 |
|
Module 4 |
AI Systems Design |
20 |
|
Module 5 |
Senior AI Capstone Project |
20 |
|
Total |
96 Hours |
Curriculum
- 5 Sections
- 31 Lessons
- 96 Hours
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- MODULE 1 — GENERATIVE AI & LARGE LANGUAGE MODELS - 20HoursModule Objective Introduce the architecture, capabilities, applications, limitations, and responsible use of modern generative AI and large language models.5
- MODULE 2 — AI ENGINEERING - 20HoursModule Objective Introduce students to the engineering process required to transform an AI model or service into a usable application.6
- MODULE 3 — AI SECURITY & RESPONSIBLE AI - 16HoursModule Objective Teach students how AI systems can create security, privacy, safety, and ethical risks and how engineers can design safer AI applications.6
- MODULE 4 — AI SYSTEMS DESIGN - 20HoursModule Objective Teach students how to design complete AI systems that integrate models, applications, data, cloud infrastructure, and human interaction.6
- MODULE 5 — SENIOR AI CAPSTONE PROJECT - 20HoursModule Objective Students integrate the knowledge developed across pathways foundation to Engineering capstone into a university-style AI research and implementation project.8









