Diploma

AI Diploma

Eight connected lectures taking you from AI foundations to strategy, governance, and practical application in smart infrastructure — ending with a capstone project.

8 lecturesBeginner to advancedCapstone project

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Curriculum

Lectures

1Lecture One — Welcome to the AI Era+−
- What AI is (and is not)
- Key concepts: data, models, inference
- AI landscape and use cases
Lecture 1 PDF
Foundations of Artificial Intelligence
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2Lecture Two — Understanding Generative AI & How It Works+−
- Data quality, structure, and governance
- Data pipelines and preparation
- Ethics, privacy, and compliance
Lecture 2 PDF
Understanding Generative AI & How It Works
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3Lecture Three — Prompt Engineering Mastery+−
- Supervised vs. unsupervised learning
- Model training, validation, and metrics
- Common pitfalls: overfitting and bias
Lecture 3 PDF
Prompt Engineering Mastery
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Prompts Library
Professional prompts library (Word document)
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4Lecture Four — AI Productivity Toolkit+−
- Neural network architectures
- Computer vision and NLP foundations
- When deep learning is the right tool
Lecture 4 PDF
AI Productivity Toolkit
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5Lecture Five — Mastering AI Tools+−
- How LLMs work
- Prompt engineering and retrieval augmentation
- Enterprise adoption patterns
6Lecture Six — AI in Business & Professional Workflows+−
- Building an AI strategy and roadmap
- Governance frameworks and risk controls
- Responsible AI in the public sector
7Lecture Seven — Responsible AI & AI Governance+−
- Digital Twin concepts and architecture
- Predictive maintenance and asset optimization
- Decision-support systems for smart cities
8Lecture Eight — Final Capstone Project & Presentations+−
- Selecting and scoping a high-value use case
- Business case, KPIs, and value tracking
- Capstone presentation and assessment