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AI Discussions
A dedicated forum space to engage in conversations about Artificial Intelligence.
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Course Q&A
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Generative AI for Software Development
Data Engineering
Deep Learning Specialization
Machine Learning Specialization
Math for Machine Learning
Generative AI for Everyone
Generative AI with Large Language Models
AI for Good
Machine Learning Engineering for Production(MLOps)
Practical Data Science
Natural Language Processing
TensorFlow: Data and Deployment Specialization
Generative Adversarial Networks (GANS)
TensorFlow Developer Professional
TensorFlow: Advanced Techniques Specialization
AI For Everyone
AI For Medicine
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Short Course Q&A
Building an AI-Powered Game
Safe and Reliable AI via Guardrails
LLMs as Operating Systems: Agent Memory
Practical Multi AI Agents and Advanced Use Cases w
Serverless Agentic Workflows with Amazon Bedrock
Introducing Multimodal Llama 3.2
Retrieval Optimization: From Tokenization to Vecto
Multimodal RAG: Chat with Videos
Large Multimodal Model Prompting with Gemini
Building AI Applications with Haystack
Improving Accuracy of LLM Applications
Embedding Models: From Architecture to Implementat
Federated Learning
Pretraining LLMs
Prompt Compression and Query Optimization
Carbon Aware Computing for GenAI Developers
Function-Calling and Data Extraction with LLMs
Building Your Own Database Agent
AI Agents in LangGraph
AI Agentic Design Patterns with AutoGen
Introduction to On-Device AI
Multi AI Agent Systems with crewAI
Building Multimodal Search and RAGs
Prompt Engineering for Vision Modelss
Building Agentic RAG with LlamaIndex
Quantization In Depth
Getting Started with Mistral
Quantization Fundamentals with Hugging Face
Preprocessing Unstructured Data 4 LLM Applications
Red Teaming LLM Applications
JavaScript RAG Web Apps with LlamaIndex
Efficiently Serving LLMs
Knowledge Graphs for RAG
Open Source Models with Hugging Face
Prompt Engineering with Llama 2
Serverless LLM apps with Amazon Bedrock
Building Applications with Vector Databases
Automated Testing for LLMOPs
LLMOps
Build LLM Apps with LangChain.js
Advanced Retrieval for AI with Chroma
Reinforcement Learning from Human Feedback
Building and Evaluating Advanced RAG Applications
Quality and Safety for LLM Applications
Vector Databases: from Embeddings to Applications
Functions, Tools and Agents with LangChain
Pair Programming with a Large Language Model
ChatGPT Prompt Engineering for Developers
LangChain for LLM Application Development
How Diffusion Models Work
Building Systems with the ChatGPT API
LangChain: Chat with Your Data
Building Generative AI applications with Gradio
Evaluating and Debugging Generative AI
Large Language Models with Semantic Search
Finetuning Large Language Models
How Business Thinkers Can Start Building AI Plugin
Understanding and Applying Text Embeddings with...
Platform Technical Support
Short Course Resources
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Community Programs
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Events
Join our latest technical workshops to learn more about how to build with AI
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Introductions
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Data Eng Study Group
Data engineering is core in data teams, from data analyst to ML Engineer everyone needs to understand and be able to work with DE tools. Data Engineering specialization is critical for anyone interested in working with data!
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