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Course Outline
Introduction
- What is generative AI?
- Generative AI compared to other AI types
- Overview of key techniques and models in generative AI
- Applications and use cases of generative AI
- Challenges and limitations of generative AI
Image Generation with Generative AI
- Generating images from textual descriptions
- Utilizing GANs to create realistic and diverse images
- Employing VAEs to generate images with latent variables
- Applying artistic styles to images via style transfer
Text Generation with Generative AI
- Producing text from prompts
- Using transformer-based models to create coherent and contextual text
- Applying text summarization to condense long documents
- Utilizing text paraphrasing to express the same meaning in different ways
Audio Generation with Generative AI
- Synthesizing speech from text
- Transcribing speech to text
- Composing music from text or audio inputs
- Generating speech with specific voice characteristics
Generating Other Content Types with Generative AI
- Producing code from natural language descriptions
- Creating product sketches from text
- Generating videos from text or images
- Constructing 3D models from text or images
Evaluating Generative AI
- Assessing content quality and diversity in generative AI
- Utilizing metrics such as inception score, Fréchet inception distance, and BLEU score
- Conducting human evaluation through crowdsourcing and surveys
- Implementing adversarial evaluation methods like Turing tests and discriminators
Exploring Ethical and Social Implications of Generative AI
- Promoting fairness and accountability
- Preventing misuse and abuse
- Protecting the rights and privacy of content creators and consumers
- Encouraging creativity and collaboration between humans and AI
Summary and Future Steps
Requirements
- A foundational understanding of AI concepts and terminology
- Proficiency in Python programming and data analysis
- Familiarity with deep learning frameworks like TensorFlow or PyTorch
Audience
- Data scientists
- AI developers
- AI enthusiasts
14 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
