European Internet School: Generative AI: From Foundations to Advanced Applications

European Internet School: Generative AI: From Foundations to Advanced Applications

European Internet School

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Artificial Intelligence
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Generative AI: From Foundations to Advanced Applications

Generative AI: From Foundations to Advanced Applications

Course Content

Lesson 1: Introduction to Generative AI: Core Concepts and Use Cases

, **Boomy**, **Google Magenta**, **OpenAI’s Jukebox**. - **How it works**: - **Autoregressive mode...

Lesson 2: How Generative Models Work: Probability, Latent Space, and Training Basics

```markdown # How Generative Models Work: Probability, Latent Space, and Training Basics --- ## **...

Lesson 3: Hands-On: Building a Simple Generative Model with Python (GANs or VAEs)

use a smaller learning rate for the discriminator. | N/A (VAEs don’t have a discriminator). | | **Tr...

Lesson 4: Deep Dive into Transformers: Architecture, Self-Attention, and Tokenization

```markdown # **Deep Dive into Transformers: Architecture, Self-Attention, and Tokenization** --- ...

Lesson 5: Fine-Tuning Pre-Trained Models: Adapting LLMs for Custom Tasks (Hugging Face)

```markdown # **Fine-Tuning Pre-Trained Models: Adapting LLMs for Custom Tasks (Hugging Face)** ---...

Lesson 6: Prompt Engineering: Crafting Effective Inputs for Text, Image, and Code Generation

# **Prompt Engineering: Crafting Effective Inputs for Text, Image, and Code Generation** --- ## **...

Lesson 7: Ethics and Risks in Generative AI: Bias, Misinformation, and Responsible Deployment

```markdown # **Ethics and Risks in Generative AI: Bias, Misinformation, and Responsible Deployment*...

Lesson 8: Generative AI in Practice: Case Studies (Chatbots, Art, Drug Discovery)

```markdown # **Generative AI in Practice: Case Studies (Chatbots, Art, Drug Discovery)** --- ## *...

Lesson 9: Advanced Topics: Diffusion Models, Reinforcement Learning from Human Feedback (RLHF)

```markdown # **Advanced Topics: Diffusion Models and Reinforcement Learning from Human Feedback (RL...

Lesson 10: Deploying Generative AI: APIs, Cloud Services, and Scalability Considerations

# **Deploying Generative AI: APIs, Cloud Services, and Scalability Considerations** --- ## **Intro...

Lesson 11: Evaluating Generative Models: Metrics, Benchmarks, and Human-in-the-Loop Testing

| FID, LPIPS, Precision/Recall | Benchmark for **high-fidelity face generation**. ...

Lesson 12: Building a Custom Generative AI Pipeline: End-to-End Project Workflow

hét Inception Distance)** | Image generation (GANs/Diffusion) | Computationally expensive; may not a...

Lesson 13: Future Trends: Multimodal AI, Agentic Systems, and the Next Frontier of Generation

# **Future Trends: Multimodal AI, Agentic Systems, and the Next Frontier of Generation** --- ## **...

Lesson 14: Capstone Project: Designing and Presenting a Generative AI Solution

# **Capstone Project: Designing and Presenting a Generative AI Solution** --- ## **Introduction** ...

Lesson 15: Q&A and Next Steps: Community Discussion and Resource Sharing

| 2017 | [https://arxiv.org/abs/1706.03762](https://arxiv.org/abs/1706.03762) | | *DALL·E: Zero-...