Data Modeling, Transformation, and Serving

Reinforcement Learning from Human Feedback

Building Multimodal Search and RAG

Knowledge Graphs for RAG

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Building and Evaluating Data Agents

Introduction to Generative AI for Software Development

Building AI Applications with Haystack

AI Python for Beginners

Introduction to On-Device AI

PyTorch: Advanced Architectures and Deployment

Evaluating and Debugging Generative AI

Структурирование проектов по машинному обучению

Preprocessing Unstructured Data for LLM Applications

Building Systems with the ChatGPT API

IA Para Todos (Español)

Réseaux neuronaux et Deep Learning

Large Multimodal Model Prompting with Gemini

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Modèles de séquence

Quantization Fundamentals with Hugging Face

Building Agentic RAG with LlamaIndex

AI For Medical Treatment

Improving Accuracy of LLM Applications

Pair Programming with a Large Language Model

PyTorch: Techniques and Ecosystem Tools

Team Software Engineering with AI

머신 러닝 프로젝트 구조화

Réseaux neuronaux convolutifs

Applied Statistics for Data Analytics

Build LLM Apps with LangChain.js

Convolutional Neural Networks in TensorFlow

Custom Models, Layers, and Loss Functions with TensorFlow

Natural Language Processing with Attention Models

Advanced Learning Algorithms

Data Storytelling

Probability & Statistics for Machine Learning & Data Science

Introducing Multimodal Llama 3.2

Advanced Computer Vision with TensorFlow

Build Better Generative Adversarial Networks (GANs)

AI and Public Health

신경망 및 딥 러닝

Сверточные нейронные сети

النماذج المتعاقبة

Последовательные модели

Function-Calling and Data Extraction with LLMs

Quantization in Depth

الشبكات العصبونية الالتفافية

Natural Language Processing with Classification and Vector Spaces

Building Your Own Database Agent

Build Basic Generative Adversarial Networks (GANs)

Efficiently Serving LLMs

Sequences, Time Series and Prediction

AI For Everyone

AI for Medical Prognosis

Повышение эффективности глубоких нейросетей

AI and Disaster Management

الشبكات العصبية والتعلم العميق

시퀀스 모델

Quality and Safety for LLM Applications

Device-based Models with TensorFlow Lite

PyTorch: Fundamentals

الذكاء الاصطناعي للجميع

Structuring Machine Learning Projects

Natural Language Processing with Probabilistic Models

Data I/O and Preprocessing with Python and SQL

AI-Powered Software and System Design

Intro to Federated Learning

L’IA pour tous

Finetuning Large Language Models

Generative AI for Everyone

AI For Everyone （すべての人のためのAIリテラシー講座）

Practical Multi AI Agents and Advanced Use Cases with crewAI

JavaScript RAG Web Apps with LlamaIndex

Source Systems, Data Ingestion, and Pipelines

Fast Prototyping of GenAI Apps with Streamlit

Advanced Deployment Scenarios with TensorFlow

LangChain Chat with Your Data

How Diffusion Models Work

Python for Data Analytics

Design, Develop, and Deploy Multi-Agent Systems with CrewAI

심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

Искусственный Интеллект (ИИ) для всех

Convolutional Neural Networks

AI and Climate Change

LangChain for LLM Application Development

Améliorez les réseaux neuronaux profonds

Data Analytics Foundations

Sequence Models

Vector Databases: from Embeddings to Applications

Neural Networks and Deep Learning

Data Pipelines with TensorFlow Data Services

Structurer des projets d’apprentissage automatique

Pretraining LLMs

Calculus for Machine Learning and Data Science

AI、機械学習、ディープラーニングのための TensorFlow 入門

Нейронные сети и глубокое обучение

Browser-based Models with TensorFlow.js

Functions, Tools and Agents with LangChain

LLMOps

Prompt Engineering for Vision Models

컨볼루션 신경망

Multi AI Agent Systems with crewAI

Large Language Models with Semantic Search

Natural Language Processing in TensorFlow

AI for Medical Diagnosis

تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

Retrieval Augmented Generation (RAG)

Understanding and Applying Text Embeddings

Natural Language Processing with Sequence Models

Embedding Models: From Architecture to Implementation

Advanced Retrieval for AI with Chroma

AI Agentic Design Patterns with AutoGen

Building Applications with Vector Databases

LLMs as Operating Systems: Agent Memory

Retrieval Optimization: Tokenization to Vector Quantization

Carbon Aware Computing for GenAI Developers

Serverless Agentic Workflows with Amazon Bedrock

Neuronale Netze und Deep Learning

Linear Algebra for Machine Learning and Data Science

ChatGPT Prompt Engineering for Developers

KI für alle

Open Source Models with Hugging Face

Generative AI with Large Language Models

Introduction to Data Engineering

Apply Generative Adversarial Networks (GANs)

Supervised Machine Learning: Regression and Classification

Machine Learning in Production

TensorFlow を使った畳み込みニューラルネットワーク

Generative Deep Learning with TensorFlow

هيكلة مشاريع التعلم الآلي

IA Para Todos (Português)

Building Toward Computer Use with Anthropic

Data Storage and Queries

Prompt Engineering with Llama 2&3

Getting Started with Mistral

Prompt Compression and Query Optimization

Unsupervised Learning, Recommenders, Reinforcement Learning

AI Agents in LangGraph

Red Teaming LLM Applications

Custom and Distributed Training with TensorFlow