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MCP: Build Rich-Context AI Apps with Anthropic
Short Course

MCP: Build Rich-Context AI Apps with Anthropic

Build AI apps that access tools, data, and prompts using the Model Context Protocol.

AI FrameworksAgentsChatbotsGenAI ApplicationsLLMOpsPrompt EngineeringTask Automation
  • Anthropic
Anthropic
Building AI Voice Agents for Production
Short Course

Building AI Voice Agents for Production

Build responsive, scalable, and human-like AI voice applications.

AgentsEvaluation and MonitoringGenAI ApplicationsLLMOpsNLPPrompt Engineering
  • LiveKit
  • RealAvatar
LiveKit, RealAvatar
Building Code Agents with Hugging Face smolagents
Short Course

Building Code Agents with Hugging Face smolagents

Build agents that write and execute code to perform complex tasks, using Hugging Face’s smolagents.

AI SafetyEvaluation and MonitoringGenAI ApplicationsPrompt EngineeringTask Automation
  • Hugging Face
Hugging Face
Building AI Browser Agents
Short Course

Building AI Browser Agents

Build agents that navigate and interact with websites, and learn how to make them more reliable.

AI FrameworksAgentsEvaluation and MonitoringFine-TuningGenAI ApplicationsTask Automation
  • AGI Inc
AGI Inc
Getting Structured LLM Output
Short Course

Getting Structured LLM Output

Learn how to generate structured outputs to power production-ready LLM software applications.

AI in Software DevelopmentGenAI ApplicationsLLMOpsPrompt Engineering
  • DotTxt
DotTxt
Vibe Coding 101 with Replit
Short Course

Vibe Coding 101 with Replit

Design, build, and deploy apps with an AI coding agent in an integrated web development environment.

AI in Software DevelopmentAgentsGenAI ApplicationsPrompt Engineering
  • Replit
Replit
Long-Term Agentic Memory With LangGraph
Short Course

Long-Term Agentic Memory With LangGraph

Learn to build AI agents with long-term memory with LangGraph, using LangMem for memory management.

AgentsChatbotsEmbeddingsEvaluation and MonitoringGenAI ApplicationsLLMOpsPrompt EngineeringRAGSearch and RetrievalVector Databases
  • LangChain
LangChain
Event-Driven Agentic Document Workflows
Short Course

Event-Driven Agentic Document Workflows

Build an event-driven agentic workflow to process documents and fill forms using RAG and human-in-the-loop feedback.

AgentsDocument ProcessingEmbeddingsEvent-Driven AIGenAI ApplicationsRAGSearch and RetrievalTask AutomationVector Databases
  • LlamaIndex
LlamaIndex
Build Apps with Windsurf’s AI Coding Agents
Short Course

Build Apps with Windsurf’s AI Coding Agents

Learn to build, debug, and deploy applications with an Agentic AI-powered integrated development environment.

AI in Software DevelopmentAgentsGenAI ApplicationsPrompt EngineeringSearch and RetrievalTask Automation
  • Windsurf
Windsurf
Evaluating AI Agents
Short Course

Evaluating AI Agents

Learn how to systematically evaluate, improve, and iterate on AI agents using structured assessments.

AgentsEvaluation and MonitoringGenAI ApplicationsLLMOpsMLOpsPrompt EngineeringTask Automation
  • Arize AI
Arize AI
Attention in Transformers: Concepts and Code in PyTorch
Short Course

Attention in Transformers: Concepts and Code in PyTorch

Understand and implement the attention mechanism, a key element of transformer-based LLMs, using PyTorch.

Deep LearningEmbeddingsGenAI ApplicationsMachine LearningNLPTransformers
  • StatQuest
StatQuest
How Transformer LLMs Work
Short Course

How Transformer LLMs Work

Understand the transformer architecture that powers LLMs to use them more effectively.

Deep LearningEmbeddingsGenAI ApplicationsLLMOpsMachine LearningNLPRAGTransformers
  • Jay Alammar, Maarten Grootendorst
Jay Alammar, Maarten Grootendorst
Building toward Computer Use with Anthropic
Short Course

Building toward Computer Use with Anthropic

Learn how an AI Assistant is built to use and accomplish tasks on computers.

AI SafetyAgentsChatbotsGenAI ApplicationsGenerative ModelsMultiModalPrompt EngineeringTask Automation
  • Anthropic
Anthropic
Build Long-Context AI Apps with Jamba
Short Course

Build Long-Context AI Apps with Jamba

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

Document ProcessingGenAI ApplicationsGenerative ModelsNLPPrompt EngineeringRAG
  • AI21 labs
AI21 labs
Reasoning with o1
Short Course

Reasoning with o1

Learn how to use and prompt OpenAI's o1 model for complex reasoning tasks.

AgentsGenAI ApplicationsMultiModalNLPPrompt Engineering
  • OpenAI
OpenAI
Collaborative Writing and Coding with OpenAI Canvas
Short Course

Collaborative Writing and Coding with OpenAI Canvas

Learn to use OpenAI Canvas to write, code, and create more effectively in collaboration with AI.

AgentsGenAI ApplicationsMultiModalNLPPrompt Engineering
  • OpenAI
OpenAI
Building an AI-Powered Game
Short Course

Building an AI-Powered Game

Learn to build with LLMs by creating a fun interactive game from scratch.

AI SafetyAI in Software DevelopmentGenAI ApplicationsGenerative ModelsLLMOpsPrompt Engineering
  • Together AI
  • AI Dungeon
Together AI, AI Dungeon
Safe and reliable AI via guardrails
Short Course

Safe and reliable AI via guardrails

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

AI SafetyChatbotsEvaluation and MonitoringGenAI ApplicationsLLMOpsNLPPrompt EngineeringRAG
  • GuardrailsAI
GuardrailsAI
LLMs as Operating Systems: Agent Memory
Short Course

LLMs as Operating Systems: Agent Memory

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

AgentsLLMOpsPrompt EngineeringRAG
  • Letta
Letta
Practical Multi AI Agents and Advanced Use Cases with crewAI
Short Course

Practical Multi AI Agents and Advanced Use Cases with crewAI

Build agents that collaborate to solve complex business tasks.

AgentsChatbotsGenAI ApplicationsGenerative ModelsTask Automation
  • crewAI
crewAI
Serverless Agentic Workflows with Amazon Bedrock
Short Course

Serverless Agentic Workflows with Amazon Bedrock

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

AgentsChatbotsGenAI ApplicationsGenerative ModelsRAGTask Automation
  • AWS
AWS
Introducing Multimodal Llama 3.2
Short Course

Introducing Multimodal Llama 3.2

Try out the features of the new Llama 3.2 models to build AI applications with multimodality.

AgentsChatbotsComputer VisionFine-TuningGenAI ApplicationsGenerative ModelsMultiModalPrompt Engineering
  • Meta
Meta
Retrieval Optimization: Tokenization to Vector Quantization
Short Course

Retrieval Optimization: Tokenization to Vector Quantization

Build faster and more relevant vector search for your LLM applications

Generative Models
  • Qdrant
Qdrant
Multimodal RAG: Chat with Videos
Short Course

Multimodal RAG: Chat with Videos

Build an interactive system for querying video content using multimodal AI

Computer VisionEmbeddingsMultiModalNLPRAGSearch and RetrievalVector Databases
  • Intel
Intel
Large Multimodal Model Prompting with Gemini
Short Course

Large Multimodal Model Prompting with Gemini

Learn best practices for multimodal prompting using Google’s Gemini model.

Generative Models
  • Google Cloud
Google Cloud
Building AI Applications With Haystack
Short Course

Building AI Applications With Haystack

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

AI FrameworksAI in Software DevelopmentAgentsDocument ProcessingGenAI ApplicationsPrompt EngineeringRAGTask Automation
  • Haystack
Haystack
Improving Accuracy of LLM Applications
Short Course

Improving Accuracy of LLM Applications

Systematically improve the accuracy of LLM applications with evaluation, prompting, and memory tuning.

AI FrameworksAgentsEvaluation and MonitoringFine-TuningMachine LearningPrompt Engineering
  • Lamini
  • Meta
Lamini, Meta
AI Python for Beginners
Course

AI Python for Beginners

Learn Python programming with AI assistance. Gain skills writing, testing, and debugging code efficiently, and create real-world AI applications.

Generative ModelsPrompt Engineering
  • DeepLearning.AI
DeepLearning.AI
Embedding Models: from Architecture to Implementation
Short Course

Embedding Models: from Architecture to Implementation

Learn how to build embedding models and how to create effective semantic retrieval systems.

EmbeddingsSearch and RetrievalVector Databases
  • Vectara
Vectara
Federated Fine-tuning of LLMs with Private Data
Short Course

Federated Fine-tuning of LLMs with Private Data

Learn how to securely fine-tune large language models (LLMs) with private data using federated methods, enhancing data privacy, minimizing risks of data leakage, and optimizing efficiency through Parameter-Efficient Fine-Tuning (PEFT) and Differential Privacy.

AI Frameworks
  • Flower Labs
Flower Labs
Intro to Federated Learning
Short Course

Intro to Federated Learning

Build and fine-tune LLMs across distributed data using a federated learning framework for better privacy.

AI Frameworks
  • Flower Labs
Flower Labs
Pretraining LLMs
Short Course

Pretraining LLMs

Learn the essential steps to pretrain a large language model from scratch.

Deep LearningEvaluation and MonitoringFine-TuningGenAI ApplicationsLLMOpsMachine LearningMathematical FoundationsTransformers
  • Upstage
Upstage
Prompt Compression and Query Optimization
Short Course

Prompt Compression and Query Optimization

Optimize the efficiency, security, query processing speed, and cost of your RAG applications.

Data ProcessingGenAI ApplicationsLLMOpsPrompt EngineeringRAGSearch and RetrievalVector Databases
  • MongoDB
MongoDB
Carbon Aware Computing for GenAI developers
Short Course

Carbon Aware Computing for GenAI developers

Train your machine learning models using cleaner energy sources.

GenAI ApplicationsLLMOpsLLM Serving
  • Google Cloud
Google Cloud
Function-calling and data extraction with LLMs
Short Course

Function-calling and data extraction with LLMs

Learn to apply function-calling to expand LLM and agent application capabilities.

AgentsEmbeddings
  • Nexusflow
Nexusflow
Building Your Own Database Agent
Short Course

Building Your Own Database Agent

Interact with tabular data and SQL databases using natural language, enabling more efficient and accessible data analysis.

AgentsData ProcessingGenAI ApplicationsLLMOpsLLM ServingRAGSearch and Retrieval
  • Microsoft
Microsoft
AI Agents in LangGraph
Short Course

AI Agents in LangGraph

Build agentic AI workflows using LangChain's LangGraph and Tavily's agentic search.

AI FrameworksAgentsChatbotsDocument ProcessingGenAI ApplicationsGenerative ModelsSearch and Retrieval
  • LangChain
  • Tavily
LangChain, Tavily
AI Agentic Design Patterns with AutoGen
Short Course

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.

AI FrameworksAgentsGenAI ApplicationsRAGTask Automation
  • Microsoft
  • Penn State University
Microsoft, Penn State University
Introduction to on-device AI
Short Course

Introduction to on-device AI

Deploy AI for edge devices and smartphones. Learn model conversion, quantization, and how to modify for deployment on diverse devices.

Data ProcessingDeep LearningCompression and QuantizationOn-Device AI
  • Qualcomm
Qualcomm
Multi AI Agent Systems with crewAI
Short Course

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.

AI FrameworksAI in Software DevelopmentAgentsGenAI ApplicationsRAGTask Automation
  • crewAI
crewAI
Building Multimodal Search and RAG
Short Course

Building Multimodal Search and RAG

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

EmbeddingsMultiModalRAGSearch and RetrievalVector Databases
  • Weaviate
Weaviate
Building Agentic RAG with Llamaindex
Short Course

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.

AI FrameworksAgentsGenAI ApplicationsPrompt EngineeringRAGSearch and Retrieval
  • LlamaIndex
LlamaIndex
Quantization in Depth
Short Course

Quantization in Depth

Customize model compression with advanced quantization techniques. Try out different variants of Linear Quantization, including symmetric vs. asymmetric mode, and different granularities.

Compression and Quantization
  • Hugging Face
Hugging Face
Prompt Engineering for Vision Models
Short Course

Prompt Engineering for Vision Models

Learn prompt engineering for vision models using Stable Diffusion, and advanced techniques like object detection and in-painting.

Computer VisionDiffusion ModelsFine-TuningGenerative ModelsPrompt Engineering
  • Comet
Comet
Getting Started with Mistral
Short Course

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.

EmbeddingsGenerative ModelsPrompt EngineeringRAG
  • Mistral AI
Mistral AI
Quantization Fundamentals with Hugging Face
Short Course

Quantization Fundamentals with Hugging Face

Learn how to quantize any open-source model. Learn to compress models with the Hugging Face Transformers library and the Quanto library.

Generative ModelsCompression and QuantizationMultiModalTransformers
  • Hugging Face
Hugging Face
Preprocessing Unstructured Data for LLM Applications
Short Course

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.

Computer VisionDocument ProcessingGenAI ApplicationsRAGVector Databases
  • Unstructured
Unstructured
Red Teaming LLM Applications
Short Course

Red Teaming LLM Applications

Learn how to make safer LLM apps through red teaming. Learn to identify and evaluate vulnerabilities in large language model (LLM) applications.

AI SafetyChatbotsGenerative ModelsLLMOpsPrompt Engineering
  • Giskard
Giskard
JavaScript RAG Web Apps with LlamaIndex
Short Course

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.

AI FrameworksGenAI ApplicationsPrompt EngineeringRAGSearch and Retrieval
  • LlamaIndex
LlamaIndex
Efficiently Serving LLMs
Short Course

Efficiently Serving LLMs

Understand how LLMs predict the next token and how techniques like KV caching can speed up text generation. Write code to serve LLM applications efficiently to multiple users.

Fine-TuningGenerative ModelsLLMOpsLLM ServingTransformers
  • Predibase
Predibase
Knowledge Graphs for RAG
Short Course

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.

EmbeddingsGenAI ApplicationsRAGSearch and RetrievalVector Databases
  • Neo4j
Neo4j
Open Source Models with Hugging Face
Short Course

Open Source Models with Hugging Face

Learn how to easily build AI applications using open-source models and Hugging Face tools. Find and filter open-source models on Hugging Face Hub.

ChatbotsGenerative ModelsMultiModalNLPPrompt EngineeringTransformers
  • Hugging Face
Hugging Face
Prompt Engineering with Llama 2&3
Short Course

Prompt Engineering with Llama 2&3

Learn best practices for prompting and selecting among Meta Llama 2 & 3 models. Interact with Meta Llama 2 Chat, Code Llama, and Llama Guard models.

AI SafetyGenAI ApplicationsGenerative ModelsPrompt EngineeringTransformers
  • Meta
Meta
Serverless LLM Apps Amazon Bedrock
Short Course

Serverless LLM Apps Amazon Bedrock

Learn how to deploy an LLM-based application into production using serverless technology. Learn to prompt and customize LLM responses with Amazon Bedrock.

Event-Driven AIGenAI ApplicationsLLMOps
  • AWS
AWS
Building Applications with Vector Databases
Short Course

Building Applications with Vector Databases

Learn to build six applications powered by vector databases, including semantic search, retrieval augmented generation (RAG), and anomaly detection.

Anomaly DetectionEmbeddingsMultiModalVector Databases
  • Pinecone
Pinecone
Automated Testing for LLMOps
Short Course

Automated Testing for LLMOps

Learn how to create an automated CI pipeline to evaluate your LLM applications on every change, for faster and safer development.

Evaluation and MonitoringLLMOpsMLOpsPrompt Engineering
  • CircleCI
CircleCI
LLMOps
Short Course

LLMOps

Learn LLMOps best practices as you design and automate steps to fine-tune and deploy an LLM for a specific task.

AI SafetyChatbotsData ProcessingEvaluation and MonitoringFine-TuningLLMOps
  • Google Cloud
Google Cloud
Build LLM Apps with LangChain.js
Short Course

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.

AI FrameworksChatbotsGenAI ApplicationsPrompt EngineeringRAGSearch and Retrieval
  • LangChain
LangChain
Advanced Retrieval for AI with Chroma
Short Course

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.

EmbeddingsFine-TuningGenAI ApplicationsRAGSearch and Retrieval
  • Chroma
Chroma
Reinforcement Learning From Human Feedback
Short Course

Reinforcement Learning From Human Feedback

Get an introduction to tuning and evaluating LLMs using Reinforcement Learning from Human Feedback (RLHF) and fine-tune the Llama 2 model.

Fine-TuningGenerative ModelsLLMOpsTransformers
  • Google Cloud
Google Cloud
Building and Evaluating Advanced RAG
Short Course

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.

AI FrameworksEvaluation and MonitoringGenAI ApplicationsLLMOpsRAGSearch and Retrieval
  • TruEra
  • LlamaIndex
TruEra, LlamaIndex
Quality and Safety for LLM Applications
Short Course

Quality and Safety for LLM Applications

Learn how to evaluate the safety and security of your LLM applications and protect against risks. Monitor and enhance security measures to safeguard your apps.

AI SafetyEmbeddingsEvaluation and MonitoringGenAI ApplicationsVector Databases
  • WhyLabs
WhyLabs
Vector Databases: from Embeddings to Applications
Short Course

Vector Databases: from Embeddings to Applications

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

EmbeddingsGenAI ApplicationsRAGSearch and RetrievalVector Databases
  • Weaviate
Weaviate
Functions, Tools and Agents with LangChain
Short Course

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.

AI FrameworksAgentsChatbotsGenerative ModelsPrompt EngineeringRAG
  • LangChain
LangChain
Pair Programming with a Large Language Model
Short Course

Pair Programming with a Large Language Model

Learn how to prompt an LLM to help improve, debug, understand, and document your code. Use LLMs to simplify your code and enhance productivity.

AI in Software DevelopmentGenAI ApplicationsPrompt Engineering
  • Google
Google
Understanding and Applying Text Embeddings
Short Course

Understanding and Applying Text Embeddings

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

EmbeddingsGenAI ApplicationsNLPRAGSearch and Retrieval
  • Google Cloud
Google Cloud
How Business Thinkers Can Start Building AI Plugins With Semantic Kernel
Short Course

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.

AI FrameworksChatbotsGenAI ApplicationsPrompt EngineeringRAG
  • Microsoft
Microsoft
Finetuning Large Language Models
Short Course

Finetuning Large Language Models

Discover when to use finetuning vs prompting for LLMs. Select suitable open-source models, prepare data, and train & evaluate for your specific domain.

Deep LearningFine-TuningTransformers
  • Lamini
Lamini
Large Language Models with Semantic Search
Short Course

Large Language Models with Semantic Search

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

EmbeddingsNLPRAGSearch and RetrievalVector Databases
  • Cohere
Cohere
Evaluating and Debugging Generative AI
Short Course

Evaluating and Debugging Generative AI

Learn MLOps tools for managing, versioning, debugging, and experimenting in your ML workflow.

Evaluation and MonitoringFine-TuningGenerative ModelsLLMOpsMLOpsMultiModalPrompt Engineering
  • Weights & Biases
Weights & Biases
Building Generative AI Applications with Gradio
Short Course

Building Generative AI Applications with Gradio

Create and demo machine learning applications quickly. Share your app with teammates and beta testers on Hugging Face Spaces.

ChatbotsDiffusion ModelsGenAI ApplicationsGenerative Models
  • Hugging Face
Hugging Face
LangChain Chat with Your Data
Short Course

LangChain Chat with Your Data

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

Computer VisionDocument ProcessingEmbeddingsRAGVector Databases
  • LangChain
LangChain
LangChain for LLM Application Development
Short Course

LangChain for LLM Application Development

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

AI FrameworksAgentsChatbotsGenerative ModelsPrompt EngineeringRAG
  • LangChain
LangChain
How Diffusion Models Work
Short Course

How Diffusion Models Work

Learn and build diffusion models from the ground up, understanding each step. Learn about diffusion models in use today and implement algorithms to speed up sampling.

Deep LearningDiffusion ModelsGenAI ApplicationsGenerative Models
Building Systems with the ChatGPT API
Short Course

Building Systems with the ChatGPT API

Learn to break down complex tasks, automate workflows, chain LLM calls, and get better outputs from LLMs. Evaluate LLM inputs and outputs for safety and relevance.

AI SafetyChatbotsGenAI ApplicationsGenerative ModelsPrompt Engineering
  • OpenAI
OpenAI
ChatGPT Prompt Engineering for Developers
Short Course

ChatGPT Prompt Engineering for Developers

Learn the fundamentals of prompt engineering for ChatGPT. Learn effective prompting, and how to use LLMs for summarizing, inferring, transforming, and expanding.

GenAI ApplicationsPrompt EngineeringTransformers
  • OpenAI
OpenAI