Currently Empty: $0.00
Course Outline
Deep Learning, NLP & Intelligent Systems
 Program Level: Specialist
Total Duration: 96 Hours
Delivery: Cohort-Based + Instructor-Led + Hands-On Labs
Pathway: Foundation→ Practitioner→ Specialist
The pathway introduces students to:
- Neural networks
- Deep learning
- Natural language processing
- Generative AI concepts
- Robotics
- Autonomous systems
- AI experimentation
- Research methodology
- Responsible AI
PROGRAM GOAL
AI Specialist program moves students from building conventional machine learning applications to understanding advanced intelligent systems.
Students explore how AI systems can:
- Learn complex patterns
- Process human language
- Analyze images and other data
- Interact with physical environments
- Make decisions autonomously
- Be evaluated through structured experimentation
The program emphasizes hands-on experimentation, AI model development, research, and technical documentation.
PROGRAM STRUCTURE
| Module | Topic | Â | Hours |
| Module 1 | Deep Learning | Â | 24 |
| Module 2 | Natural Language Processing | Â | 20 |
| Module 3 | Robotics & Autonomous Systems | Â | 20 |
| Module 4 | AI Research Methods | Â | 16 |
| Module 5 | Advanced AI Project | Â | 16 |
| Total | Â | Â | 96 Hours |
Curriculum
- 5 Sections
- 32 Lessons
- 96 Hours
Expand all sectionsCollapse all sections
- MODULE 1 — DEEP LEARNING - 24HoursModule Objective Introduce students to neural networks and the foundations of deep learning used in modern AI applications.7
- MODULE 2 — NATURAL LANGUAGE PROCESSING - 20HoursModule Objective Introduce how AI systems process, analyze, and generate human language.7
- MODULE 3 — ROBOTICS & AUTONOMOUS SYSTEMS - 20HoursModule Objective Introduce students to the relationship between AI, robotics, sensors, automation, and autonomous decision-making.6
- MODULE 4 — AI RESEARCH METHODS - 16HoursModule Objective Introduce students to the process of conducting, evaluating, and communicating AI research.6
- MODULE 5 — ADVANCED AI PROJECT - 16HoursModule Objective Integrate deep learning, NLP, computer vision, robotics, and research concepts into an advanced AI project.6









