This comprehensive course introduces participants to the world of generative AI and its transformative impact across industries. Suitable for beginners and professionals, this course delves into the practical applications of generative AI, from text and image generation to music composition, and its expanding role in healthcare, finance, and other sectors.

Throughout the course, you'll gain a solid understanding of the underlying technology, including deep learning and neural networks, as well as the architecture of ChatGPT, its variants, and prompt engineering. You will also learn about the tools, resources, and best practices for building generative AI models. Moreover, you’ll have the chance to explore emerging trends, ethical considerations, and future opportunities in the field.

Learning Outcomes
At the conclusion of the course, you should be able to

• Explain the fundamental concepts, principles and technology of generative AI.
• Describe the generative AI landscape and its practical applications across various industries.
• Apply prompt engineering effectively from understanding its techniques and patterns.
• Gain hands-on experience building simple generative AI applications.
• Discuss emerging trends and future directions in generative AI, including ethical considerations and challenges associated with its use.

Topics Include

• Practical applications
• Text, image and sound generation
• Deep learning and neural networks
• Transformer and ChatGPT/variants
• Prompt engineering
• Model training and fine tuning
• Open Source large language models
• Best practices and ethical considerations
• Emerging trends

Skills Needed

Python and Machine Learning Basics are recommended but not required.