
Artificial Intelligence – Intermediary Level
Course Curriculum
These are all the Intermediary level modules from the Artificial Intelligence. Each module has a duration of 1 hour.
- Neural Networks and Deep Learning (Course Code: G026)
- Supervised vs. Unsupervised Learning (Course Code: G027)
- AI for Decision-Making and Optimization (Course Code: G028)
- Explainable AI and Model Interpretability (Course Code: G029)
- Bias and Fairness in AI (Course Code: G030)
- AI Governance and Ethical Policy (Course Code: G031)
- Advanced Prompt Engineering (Course Code: G032)
- Context-Aware and Adaptive Prompting (Course Code: G033)
- Optimizing Prompts for Creativity (Course Code: G034)
- Multi-Turn Prompting Strategies (Course Code: G035)
- Comparing Prompting Techniques Across AI Models (Course Code: G036)
- Domain-Specific Prompting Techniques (Course Code: G037)
- TensorFlow vs. PyTorch: Hands-On AI Frameworks (Course Code: G038)
- Building AI Models with No-Code/Low-Code Tools (Course Code: G039)
- Cloud AI Services: Google, AWS, and Azure (Course Code: G040)
- Deploying AI Models in Real-World Applications (Course Code: G041)
- Fine-Tuning Pre-Trained AI Models (Course Code: G042)
- Optimizing AI Performance and Efficiency (Course Code: G043)
- AI in Humanities: NLP and Digital Archives (Course Code: G044)
- AI in Social Sciences: Policy and Behavioral Analysis (Course Code: G045)
- AI in Business: Decision Support and Automation (Course Code: Not specified)
- AI in Healthcare: Predictive Analytics and Diagnostics (Course Code: Not specified)
- Research Methodologies in AI (Course Code: Not specified)
- Ethical AI Research and Policy Proposals (Course Code: Not specified)
- AI Career Paths and Industry Trends (Course Code: Not specified)