Code for DeepLearning.AI Courses:
- Evaluating and Debugging Generative AI
- Large Language Models with Semantic Search
- Finetuning Large Language Models
- How Business Thinkers Can Start Building AI Plugins With Semantic Kernel
- Building Systems with the ChatGPT API
- Pair Programming with a Large Language Model
- Functions Tools and Agents with LangChain
- Understanding and Applying Text Embeddings
- LangChain Chat with Your Data
- Vector Databases: from Embeddings to Applications
- Quality and Safety for LLM Applications
- Building and Evaluating Advanced RAG
- Reinforcement Learning from Human Feedback
- Advanced Retrieval for AI with Chroma
- LLMOps
- Automated Testing for LLMOps
- Building Applications with Vector Databases
- Serverless LLM apps with Amazon Bedrock
- Prompt Engineering with Llama 2
- Open Source Models with Hugging Face
- Knowledge Graphs for RAG
- Efficiently Serving LLMs
- JavaScript RAG Web Apps with LlamaIndex
- Red Teaming LLM Applications
- Preprocessing Unstructured Data for LLM Applications
- Quantization Fundamentals with Hugging Face
- Quantization in Depth
- Building Agentic RAG with LlamaIndex
- Building Multimodal Search and RAG
- Multi AI Agent Systems with crewAI
- Introduction to On-Device AI
- AI Agentic Design Patterns with AutoGen
- AI Agents in LangGraph
- Building Your Own Database Agent
- Function-Calling and Data Extraction with LLMs
- Carbon Aware Computing for GenAI Developers