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Generative AI
Learn to create AI systems that generate original content including text, images, code, and more using state-of-the-art generative models.
8 weeks
10 Modules
Certificate Included
Learning Outcomes
What You'll Learn
By the end of this course, you'll be able to:
Understand generative AI fundamentals
Build text generation models
Create image generation systems
Implement code generation tools
Fine-tune generative models
Evaluate generative outputs
Curriculum
Course Modules
A comprehensive curriculum designed for practical application.
1
Generative AI Fundamentals
- What is generative AI?
- Types of generative models
- Applications overview
- Ethical considerations
2
Large Language Models
- Transformer recap
- GPT architecture
- LLM capabilities
- Prompting basics
3
Prompt Engineering
- Effective prompts
- Chain-of-thought
- Few-shot learning
- Prompt templates
4
Fine-tuning LLMs
- LoRA and QLoRA
- Instruction tuning
- RLHF basics
- Domain adaptation
5
Text Generation
- Text completion APIs
- Creative writing
- Code generation
- Conversation systems
6
Image Generation
- Diffusion models
- Stable Diffusion
- Image-to-image
- Inpainting and outpainting
7
Multimodal AI
- Vision-language models
- Image captioning
- Visual QA
- Multimodal agents
8
RAG Systems
- Retrieval-augmented generation
- Vector databases
- Embedding models
- Hybrid search
9
AI Agents
- Agent architectures
- Tool use
- Memory systems
- Multi-agent collaboration
10
Building GenAI Applications
- Application architecture
- API integration
- Safety and alignment
- Production considerations
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