README.md

DeepLearning.AI Courses

Code for DeepLearning.AI Courses:

2023

• 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

2024

• 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

05

• 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

06

• AI Agents in LangGraph
• Building Your Own Database Agent
• Function-Calling and Data Extraction with LLMs
• Carbon Aware Computing for GenAI Developers

07

• Prompt Compression and Query Optimization
• Pretraining LLMs
• Federated Learning
• Embedding Models

08

• Improving Accuracy of LLM Applications
• Building AI Applications with Haystack
• Large Multimodal Model Prompting with Gemini

09

• Multimodal RAG: Chat with Videos

10

• Retrieval Optimization: From Tokenization to Vector Quantization