Social And Emotional Learning Courses

Neuronale Netze und Deep Learning

Erlernen Sie die Grundlagen des Deep Learning, von neuronalen Netzen bis zur Anwendung in der Computervision. Entwickeln Sie praktische Fähigkeiten für KI-Systeme und bereiten Sie sich auf eine Karriere in diesem zukunftsweisenden Bereich vor.

• Coursera
• 19 hours 49 minutes
• Self-Paced
• Paid Course

Réseaux neuronaux et Deep Learning

Maîtrisez les fondamentaux du Deep Learning, développez des réseaux neuronaux efficaces et appliquez-les à des problèmes concrets comme la vision par ordinateur. Acquérez des compétences recherchées dans l'IA.

• Coursera
• 19 hours 49 minutes
• Self-Paced
• Paid Course

Machine Learning Operations (MLOps): Getting Started

Learn MLOps tools and best practices for deploying, evaluating, monitoring, and operating production ML systems on Google Cloud, enabling continuous improvement and efficient model deployment.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Coursera

Use Canva to Create Social Media Visuals for Business

Create eye-catching social media visuals for multiple platforms using Canva. Learn to design cohesive, professional graphics that enhance your business's online presence and engage your audience.

• Coursera
• 2 hours 10 minutes
• Self-Paced
• Paid Course

Generative Deep Learning with TensorFlow

Explore advanced deep learning techniques: neural style transfer, autoencoders, VAEs, and GANs. Create unique images, denoise data, generate new content, and build powerful models using TensorFlow.

• Coursera
• 16 hours 3 minutes
• Self-Paced
• Paid Course

Coursera

Interpretable Machine Learning Applications: Part 1

Learn to create interpretable machine learning applications using decision trees and random forests. Gain insights into feature importance and model behavior for more accountable and trusted ML applications.

• Coursera
• 1 hour 40 minutes
• Self-Paced
• Paid Course

CertNexus

Solve Business Problems with AI and Machine Learning

Explore AI and ML applications in business, learn about tools and resources, and address ethical considerations in implementing these technologies for actionable insights and innovation.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

CertNexus

Follow a Machine Learning Workflow

Explore the machine learning workflow from problem formulation to model deployment, including data analysis, model training, and automation techniques for recurring business processes.

• Coursera
• 19 hours 59 minutes
• Self-Paced
• Paid Course

Coursera

Using Video in Social Media Posts with Canva

Create 5 engaging video-based social media posts using Canva for Instagram, Facebook, or Twitter. Learn to manage and organize your designs within the platform.

• Coursera
• 1 hour 40 minutes
• Self-Paced
• Paid Course

Smart Analytics, Machine Learning, and AI on GCP en Español

Aprende a integrar machine learning en pipelines de datos de Google Cloud, desde AutoML hasta Kubeflow, con experiencia práctica en la creación de modelos personalizados.

• Coursera
• 6 hours 46 minutes
• Self-Paced
• Paid Course

Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

Aprenda a incorporar machine learning em pipelines de dados no Google Cloud, explorando AutoML, AI Platform Notebooks, BigQuery ML e Kubeflow para extrair insights valiosos e criar soluções personalizadas.

• Coursera
• 7 hours 37 minutes
• Self-Paced
• Paid Course

Smart Analytics, Machine Learning, and AI on GCP en Français

Découvrez l'intégration du machine learning dans les pipelines de données sur Google Cloud, de l'AutoML aux solutions personnalisées avec Notebooks, BigQuery ML et Kubeflow pour la production.

• Coursera
• 8 hours 1 minute
• Self-Paced
• Paid Course

Smart Analytics, Machine Learning, and AI on GCP 日本語版

Google Cloudのデータパイプラインに機械学習を組み込む方法を学び、AutoML、AI Platform Notebooks、BigQuery MLなどのツールを使って実践的なスキルを習得。Kubeflowによる本番環境での展開も解説。

• Coursera
• 6 hours 36 minutes
• Self-Paced
• Paid Course

Coursera

Interpretable Machine Learning Applications: Part 2

Develop interpretable machine learning applications using LIME to explain individual predictions, enhancing model transparency and accountability for data scientists and decision-makers.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Supervised Machine Learning: Classification

Learn to train and evaluate classification models, including logistic regression, decision trees, and ensembles. Gain hands-on experience with best practices like handling unbalanced classes and using various error metrics.

• Coursera
• 1 day 17 minutes
• Self-Paced
• Paid Course