intermediateFree
Building Multimodal Search and RAG
by Sebastian Witalec · DeepLearning.AI
4.5(2,800 reviews)
45K+ enrolled1 hourUpdated 2024-10
What You'll Learn
Understand the fundamentals and key concepts of RAG
Apply RAG techniques to solve real-world problems
Understand the fundamentals and key concepts of multimodal AI
Apply multimodal AI techniques to solve real-world problems
Understand the fundamentals and key concepts of embeddings
Apply embeddings techniques to solve real-world problems
About This Course
Build search and RAG systems that handle text, images, and video using multimodal embeddings and Weaviate.
Curriculum
Module 1: RAG & Multimodal AI6 lessons
- Introduction to RAG
- RAG in Practice
- Hands-on Exercise: RAG
- Introduction to multimodal AI
- Multimodal AI in Practice
- Hands-on Exercise: Multimodal AI
Module 2: Embeddings & Vector databases6 lessons
- Introduction to embeddings
- Embeddings in Practice
- Hands-on Exercise: Embeddings
- Introduction to vector databases
- Vector databases in Practice
- Hands-on Exercise: Vector databases
Module 3: LLMs3 lessons
- Introduction to LLMs
- LLMs in Practice
- Hands-on Exercise: LLMs
Instructor
Sebastian Witalec
Instructor at DeepLearning.AI
Pros & Cons
Pros
- Completely free to access
- High-quality video lectures
- Taught by Sebastian Witalec
- Well-structured curriculum
Cons
- No certificate provided
- Self-paced requires discipline
Free
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