What you will learn
- Learn the fundamentals of generative AI and how it differs from traditional AI.
- Explore different generative AI models such as GANs, transformers, and diffusion models.
- Understand the role of large language models (LLMs) like ChatGPT and Bard.
- Discover how generative AI is used in text, image, video, and music creation.
- Gain insights into ethical concerns, biases, and responsible AI usage.
- Learn about real-world applications in industries like healthcare, marketing, and finance.
Program Overview
Introduction to Generative AI
⏱️ 2-3 weeks
- Learn what generative AI is and how it works.
- Explore different AI model architectures used for content generation.
- Understand the evolution of AI from rule-based systems to deep learning models.
Types of Generative AI Models
⏱️ 3-5 weeks
- Study major generative AI models, including GANs, transformers, and diffusion models.
- Learn how models like GPT, DALL·E, and Stable Diffusion generate text and images.
- Understand reinforcement learning and how it enhances AI capabilities.
Applications of Generative AI
⏱️4-6 weeks
- Explore how generative AI is used in marketing, healthcare, gaming, and other industries.
- Learn about AI-generated art, deepfake technology, and automated content creation.
- Examine AI’s impact on creative industries and business automation.
Ethical Considerations and AI Bias
⏱️5-7 weeks
- Understand the risks of AI-generated misinformation and bias.
- Learn responsible AI practices and guidelines for ethical AI development.
- Discuss privacy concerns and regulatory frameworks for AI governance.
Hands-on Project
⏱️ 6-8 weeks
- Apply generative AI tools to create text, images, or videos.
- Develop a small AI-powered application or analyze existing AI-generated content.
- Present findings and discuss AI’s impact on future innovations.
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Job Outlook
- High Demand for AI Professionals: The AI industry is projected to grow exponentially, creating opportunities in machine learning, data science, and AI development.
- Competitive Salaries: AI engineers and machine learning specialists earn $100,000 – $150,000 per year, with top AI professionals making over $200,000.
- Industry Applications: Generative AI is widely used in marketing, content creation, healthcare, software development, and finance.
- Entry into AI Careers: This course provides a strong foundation for roles such as AI Researcher, Machine Learning Engineer, and AI Product Manager.
- Gateway to Advanced AI Learning: Builds a foundation for further studies in deep learning, AI ethics, and advanced machine learning techniques.
Specification: Introduction to Generative AI
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