Generative AI: Introduction and Applications

This course introduces you to the dynamic field of Generative AI, focusing on its foundational principles and real-world applications. Explore the capabilities of generative AI models such as ChatGPT and large language models (LLMs) for generating text, images, code, audio, and video. Learn how these technologies are transforming various industries and gain practical skills to apply generative AI tools in diverse scenarios. This course is designed to build your subject-matter expertise and prepare you for advanced studies or careers in AI and machine learning.

About

What you'll learn

Describe the fundamental concepts of generative AI and distinguish it from discriminative AI.

Understand the capabilities and real-world use cases of generative AI.

Identify the applications of generative AI across different sectors and industries.

Explore common generative AI models and tools for text, code, image, audio, and video generation.

Skill you'll gain

6 hours

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Curriculum

This course is ideal for individuals interested in machine learning, data science, and AI technologies. It is particularly beneficial for those seeking to understand and leverage the capabilities of generative AI in various professional contexts.

Module 1: Introduction and Capabilities of Generative AI (2 hours)
  • Fundamentals of generative AI and its distinction from discriminative AI.
  • Capabilities of generative AI for generating text, images, code, speech, and video, as well as for data augmentation.
Module 2: Applications and Tools of Generative AI (3 hours)
  • Applications and impacts of generative AI in various sectors such as IT, entertainment, education, finance, healthcare, and human resources.
  • Key capabilities and use cases of commonly used generative AI tools for text, image, code, audio, video, and virtual world generation.
Module 3: Course Quiz, Project, and Wrap Up (1 hour)
  • Graded quiz to reinforce your understanding of the course concepts.
  • Glossary to enhance your comprehension of generative AI-related terms.
  • Optional project to practice generating text, images, and code through generative AI.
  • Guidance on the next steps in your learning journey.

Generative AI: Introduction and Applications

Describe the fundamental concepts of generative AI and distinguish it from discriminative AI.

Understand the capabilities and real-world use cases of generative AI.

Identify the applications of generative AI across different sectors and industries.

Explore common generative AI models and tools for text, code, image, audio, and video generation.

Admission Process

Step 1: Apply

Apply by filling a simple online application form

Step 2: Screening process

Attend an application screening call

Step 3: Join Program

An offer letter will be rolled out to selected candidates. Secure your seat by paying the admission fee

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