DeepLearning.AI - Learning Platform

How Business Thinkers Can Start Building AI Plugins With Semantic Kernel

Learn Microsoft's open source orchestrator, Semantic Kernel and use LLM building blocks such as memory, connectors, chains and planners in your apps.

Microsoft

AI Frameworks Chatbots GenAI Applications Prompt Engineering RAG

Building Agentic RAG with Llamaindex

Build autonomous agents that intelligently navigate and analyze your data. Learn to develop agentic RAG systems using LlamaIndex, enabling powerful document Q&A and summarization. Gain valuable skills in guiding agent reasoning and debugging.

LlamaIndex

AI Frameworks Agents GenAI Applications Prompt Engineering RAG Search and Retrieval

JavaScript RAG Web Apps with LlamaIndex

Build a full-stack web application that uses RAG capabilities to chat with your data. Learn to build a RAG application in JavaScript, using an intelligent agent to answer queries.

LlamaIndex

AI Frameworks GenAI Applications Prompt Engineering RAG Search and Retrieval

AI Agentic Design Patterns with AutoGen

Use the AutoGen framework to build multi-agent systems with diverse roles and capabilities for implementing complex AI applications.

Microsoft, Penn State University

AI Frameworks Agents GenAI Applications RAG Task Automation

Building AI Applications With Haystack

Learn a flexible framework to build a variety of complex AI applications.

Haystack

AI Frameworks AI in Software Development Agents Document Processing GenAI Applications Prompt Engineering RAG Task Automation

Multimodal RAG: Chat with Videos

Build an interactive system for querying video content using multimodal AI

Intel

Computer Vision Embeddings MultiModal NLP RAG Search and Retrieval Vector Databases

LLMs as Operating Systems: Agent Memory

Build systems with MemGPT agents that can autonomously manage their memory.

Letta

Agents LLMOps Prompt Engineering RAG

Functions, Tools and Agents with LangChain

Learn about the latest advancements in LLM APIs and use LangChain Expression Language (LCEL) to compose and customize chains and agents.

LangChain

AI Frameworks Agents Chatbots Generative Models Prompt Engineering RAG

Getting Started with Mistral

Explore Mistral's open-source and commercial models, and leverage Mistral's JSON mode to generate structured LLM responses. Use Mistral's API to call user-defined functions for enhanced LLM capabilities.

Mistral AI

Embeddings Generative Models Prompt Engineering RAG

Multi AI Agent Systems with crewAI

Automate business workflows with multi-AI agent systems. Exceed the performance of prompting a single LLM by designing and prompting a team of AI agents through natural language.

crewAI

AI Frameworks AI in Software Development Agents GenAI Applications RAG Task Automation

LangChain Chat with Your Data

Create a chatbot with LangChain to interface with your private data and documents. Learn from LangChain creator, Harrison Chase.

LangChain

Computer Vision Document Processing Embeddings RAG Vector Databases

Safe and reliable AI via guardrails

Move your LLM-powered applications beyond proof-of-concept and into production with the added control of guardrails.

GuardrailsAI

AI Safety Chatbots Evaluation and Monitoring GenAI Applications LLMOps NLP Prompt Engineering RAG

Large Language Models with Semantic Search

Learn to use LLMs to enhance search and summarize results, using Cohere Rerank and embeddings for dense retrieval.

Cohere

Embeddings NLP RAG Search and Retrieval Vector Databases

Understanding and Applying Text Embeddings

Learn how to accelerate the application development process with text embeddings for sentence and paragraph meaning.

Google Cloud

Embeddings GenAI Applications NLP RAG Search and Retrieval

Vector Databases: from Embeddings to Applications

Design and execute real-world applications of vector databases. Build efficient, practical applications, including hybrid and multilingual searches.

Weaviate

Embeddings GenAI Applications RAG Search and Retrieval Vector Databases

Building and Evaluating Advanced RAG

Learn advanced RAG retrieval methods like sentence-window and auto-merging that outperform baselines, and evaluate and iterate on your pipeline's performance.

TruEra, LlamaIndex

AI Frameworks Evaluation and Monitoring GenAI Applications LLMOps RAG Search and Retrieval

Advanced Retrieval for AI with Chroma

Learn advanced retrieval techniques to improve the relevancy of retrieved results. Learn to recognize poor query results and use LLMs to improve queries.

Chroma

Embeddings Fine-Tuning GenAI Applications RAG Search and Retrieval

Preprocessing Unstructured Data for LLM Applications

Improve your RAG system to retrieve diverse data types. Learn to extract and normalize content from a wide variety of document types, such as PDFs, PowerPoints, and HTML files.

Unstructured

Computer Vision Document Processing GenAI Applications RAG Vector Databases

Building Multimodal Search and RAG

Build smarter search and RAG applications for multimodal retrieval and generation.

Weaviate

Embeddings MultiModal RAG Search and Retrieval Vector Databases

Serverless Agentic Workflows with Amazon Bedrock

Efficiently handle time-varying workloads with serverless agentic workflows and responsible agents built on Amazon Bedrock.

AWS

Agents Chatbots GenAI Applications Generative Models RAG Task Automation

Build Long-Context AI Apps with Jamba

Build LLM apps that can process very long documents using the Jamba model

AI21 labs

Document Processing GenAI Applications Generative Models NLP Prompt Engineering RAG

Build LLM Apps with LangChain.js

Expand your toolkit with LangChain.js, a JavaScript framework for building with LLMs. Understand the fundamentals of using LangChain to orchestrate and chain modules.

LangChain

AI Frameworks Chatbots GenAI Applications Prompt Engineering RAG Search and Retrieval

Knowledge Graphs for RAG

Learn how to build and use knowledge graph systems to improve your retrieval augmented generation applications. Use Neo4j's query language Cypher to manage and retrieve data.

Neo4j

Embeddings GenAI Applications RAG Search and Retrieval Vector Databases

LangChain for LLM Application Development

Use the powerful and extensible LangChain framework, using prompts, parsing, memory, chains, question answering, and agents.

LangChain

AI Frameworks Agents Chatbots Generative Models Prompt Engineering RAG