Generative AI Fundamentals Specialization course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
A strategic, beginner-friendly specialization that helps professionals understand and adopt generative AI effectively. This program is structured into five core modules followed by a capstone project, designed to be completed in approximately 11–14 weeks. Each module blends foundational knowledge with practical insights, focusing on business strategy, ethical considerations, and real-world applications of generative AI. No technical background is required, making it ideal for managers and decision-makers seeking to lead AI initiatives responsibly.
Module 1: Introduction to Generative AI
Estimated time: 8 hours
- Understand what generative AI is and how it differs from traditional AI
- Learn how large language models (LLMs) generate text and content
- Explore real-world use cases across industries
- Recognize the benefits and risks of generative AI adoption
Module 2: Generative AI for Business & Strategy
Estimated time: 12 hours
- Identify opportunities to integrate AI into business workflows
- Understand productivity gains and innovation potential
- Learn how to evaluate AI tools for organizational use
- Develop AI adoption roadmaps for teams and companies
Module 3: Responsible & Ethical AI Use
Estimated time: 10 hours
- Understand bias, fairness, and transparency principles
- Learn about privacy, compliance, and governance in AI
- Apply human oversight in AI decision-making
- Build responsible AI policies for organizations
Module 4: AI Integration & Practical Applications
Estimated time: 10 hours
- Use AI tools for content creation and automation
- Explore AI-driven productivity workflows
- Analyze case studies of AI adoption in companies
- Prepare AI transformation strategies for real-world settings
Module 5: Capstone Project
Estimated time: 10 hours
- Evaluate an AI implementation scenario
- Propose responsible adoption guidelines
- Design a basic AI integration plan
Prerequisites
- Familiarity with basic business concepts
- No programming experience required
- Interest in AI strategy and organizational impact
What You'll Be Able to Do After
- Explain how generative AI and large language models work in simple terms
- Identify strategic opportunities for AI in business processes
- Evaluate AI tools for organizational needs and scalability
- Design responsible AI adoption frameworks with ethical safeguards
- Create actionable plans to integrate generative AI into real-world operations