What will you learn in Generative AI: Introduction and Applications Course
Understand the fundamentals of generative AI and how it differs from traditional AI models
Explore real-world applications of generative AI in industries like design, healthcare, and business
Gain insights into tools such as large language models (LLMs), diffusion models, and image generators
Analyze the ethical considerations and responsible use of generative AI
Learn how to integrate generative AI into workflows to boost creativity and productivity
Program Overview
Module 1: Introduction to Generative AI
⏳ 1 week
Topics: What is Generative AI, comparison with traditional AI, history and breakthroughs
Hands-on: Identify common tools like ChatGPT, DALL·E, and Midjourney used in current applications
Module 2: Generative AI in Action
⏳ 1 week
Topics: Use cases in content creation, healthcare diagnostics, marketing, and more
Hands-on: Evaluate how companies apply generative AI to solve real-world problems
Module 3: Tools & Technologies
⏳ 1 week
Topics: LLMs, diffusion models, transformers, multimodal AI
Hands-on: Explore sample tools and platforms for generating text, images, and code
Module 4: Ethical Considerations & Responsible Use
⏳ 1 week
Topics: Deepfakes, misinformation, copyright concerns, bias in AI
Hands-on: Analyze scenarios to determine responsible AI usage practices
Module 5: The Future of Generative AI
⏳ 1 week
Topics: Evolving architectures, emerging tools, trends in creativity and automation
Hands-on: Predict how generative AI will shape industries and human work
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Job Outlook
Generative AI is one of the fastest-growing tech fields, with rising demand across industries
Roles such as AI Product Manager, Prompt Engineer, and Applied Researcher are emerging
Upskilling in generative AI enhances career prospects in tech, design, marketing, and more
Professionals can leverage generative tools to become more efficient and creative at work
Specification: Generative AI: Introduction and Applications
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