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
Generating Images with Generative AI
- Producing images from text descriptions
- Utilizing GANs to create realistic and diverse images
- Employing VAEs to generate images with latent variables
- Applying style transfer to imbue images with artistic styles
Generating Text with Generative AI
- Producing text from text prompts
- Using transformer-based models to create contextually coherent text
- Leveraging text summarization to create concise summaries of lengthy documents
- Using text paraphrasing to express the same meaning in different ways
Generating Audio with Generative AI
- Synthesizing speech from text
- Transcribing speech to text
- Composing music from text or audio inputs
- Generating speech with a specific voice profile
Generating Other Content Types with Generative AI
- Generating code from natural language
- Creating product sketches from text descriptions
- Producing video from text or images
- Generating 3D models from text or images
Evaluating Generative AI
- Assessing the quality and diversity of generative AI outputs
- Using metrics such as Inception Score, Fréchet Inception Distance, and BLEU Score
- Conducting human evaluations via crowdsourcing and surveys
- Applying adversarial evaluation methods, including Turing tests and discriminators
Understanding the Ethical and Social Implications of Generative AI
- Ensuring fairness and accountability
- Preventing misuse and abuse
- Respecting the rights and privacy of content creators and consumers
- Fostering creativity and collaboration between humans and AI
Summary and Next Steps
Requirements
- Foundational understanding of AI concepts and terminology
- Proficiency in Python programming and data analysis
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch
Target Audience
- Data scientists
- AI developers
- AI enthusiasts
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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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)
