Advanced Computer Vision with TensorFlow
Available now
Advanced Deployment Scenarios with TensorFlow
Available now
Advanced Learning Algorithms
Available now
Advanced Retrieval for AI with Chroma
Available now
AI Agentic Design Patterns with AutoGen
Available now
AI Agents in LangGraph
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AI and Climate Change
Available now
AI and Disaster Management
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AI and Public Health
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AI For Everyone
Available now
AI for Medical Diagnosis
Available now
AI for Medical Prognosis
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AI For Medical Treatment
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AI Python for Beginners
Available now
AI-Powered Software and System Design
Available now
Apply Generative Adversarial Networks (GANs)
Available now
Browser-based Models with TensorFlow.js
Available now
Build Basic Generative Adversarial Networks (GANs)
Available now
Build Better Generative Adversarial Networks (GANs)
Available now
Build LLM Apps with LangChain.js
Available now
Building Agentic RAG with LlamaIndex
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Building AI Applications with Haystack
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Building Applications with Vector Databases
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Building Multimodal Search and RAG
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Building Systems with the ChatGPT API
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Building Your Own Database Agent
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Calculus for Machine Learning and Data Science
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Carbon Aware Computing for GenAI Developers
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ChatGPT Prompt Engineering for Developers
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Convolutional Neural Networks
Available now
Convolutional Neural Networks in TensorFlow
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Custom and Distributed Training with TensorFlow
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Custom Models, Layers, and Loss Functions with TensorFlow
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Data Modeling, Transformation, and Serving
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Data Pipelines with TensorFlow Data Services
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Data Storage and Queries
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Device-based Models with TensorFlow Lite
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Efficiently Serving LLMs
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Embedding Models: From Architecture to Implementation
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Evaluating and Debugging Generative AI
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Finetuning Large Language Models
Available now
Function-Calling and Data Extraction with LLMs
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Functions, Tools and Agents with LangChain
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Generative AI for Everyone
Available now
Generative AI with Large Language Models
Available now
Generative Deep Learning with TensorFlow
Available now
Getting Started with Mistral
Available now
How Diffusion Models Work
Available now
Improving Accuracy of LLM Applications
Available now
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Available now
Introducing Multimodal Llama 3.2
Available now
Introduction to Data Engineering
Available now
Introduction to Generative AI for Software Development
Available now
Introduction to On-Device AI
Available now
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Available now
JavaScript RAG Web Apps with LlamaIndex
Available now
Knowledge Graphs for RAG
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LangChain Chat with Your Data
Available now
LangChain for LLM Application Development
Available now
Large Language Models with Semantic Search
Available now
Linear Algebra for Machine Learning and Data Science
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LLMOps
Available now
LLMs as Operating Systems: Agent Memory
Available now
Machine Learning in Production
Available now
Multi AI Agent Systems with crewAI
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Natural Language Processing in TensorFlow
Available now
Natural Language Processing with Attention Models
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Natural Language Processing with Classification and Vector Spaces
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Natural Language Processing with Probabilistic Models
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Natural Language Processing with Sequence Models
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Neural Networks and Deep Learning
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Open Source Models with Hugging Face
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Pair Programming with a Large Language Model
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Practical Multi AI Agents and Advanced Use Cases with crewAI
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Preprocessing Unstructured Data for LLM Applications
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Pretraining LLMs
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Probability & Statistics for Machine Learning & Data Science
Available now
Prompt Compression and Query Optimization
Available now
Prompt Engineering with Llama 2&3
Available now
Quality and Safety for LLM Applications
Available now
Quantization Fundamentals with Hugging Face
Available now
Quantization in Depth
Available now
Red Teaming LLM Applications
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Reinforcement Learning from Human Feedback
Available now
Retrieval Optimization: Tokenization to Vector Quantization
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Sequence Models
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Sequences, Time Series and Prediction
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Serverless Agentic Workflows with Amazon Bedrock
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Source Systems, Data Ingestion, and Pipelines
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Structuring Machine Learning Projects
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Supervised Machine Learning: Regression and Classification
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Team Software Engineering with AI
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Understanding and Applying Text Embeddings
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Unsupervised Learning, Recommenders, Reinforcement Learning
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Vector Databases: from Embeddings to Applications
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AI For Everyone （すべての人のためのAIリテラシー講座）
Available now
AI、機械学習、ディープラーニングのための TensorFlow 入門
Available now
Améliorez les réseaux neuronaux profonds
Available now
IA Para Todos (Español)
Available now
IA Para Todos (Português)
Available now
KI für alle
Available now
L’IA pour tous
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Modèles de séquence
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Neuronale Netze und Deep Learning
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Réseaux neuronaux convolutifs
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Réseaux neuronaux et Deep Learning
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Structurer des projets d’apprentissage automatique
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TensorFlow を使った畳み込みニューラルネットワーク
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Искусственный Интеллект (ИИ) для всех
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Нейронные сети и глубокое обучение
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Повышение эффективности глубоких нейросетей
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Последовательные модели
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Сверточные нейронные сети
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Структурирование проектов по машинному обучению
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الذكاء الاصطناعي للجميع
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الشبكات العصبونية الالتفافية
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الشبكات العصبية والتعلم العميق
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النماذج المتعاقبة
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تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات
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هيكلة مشاريع التعلم الآلي
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머신 러닝 프로젝트 구조화
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시퀀스 모델
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신경망 및 딥 러닝
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심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화
Available now
컨볼루션 신경망
Available now
Applied Statistics for Data Analytics
Starting 03/18/2025
Data Analytics Foundations
Starting 03/18/2025
Python for Data Analytics
Starting 04/09/2025
Data I/O and Preprocessing with Python and SQL
Starting 05/07/2025
Data Storytelling
Starting 06/04/2025
