Social And Emotional Learning Courses

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français

Découvrez les techniques essentielles d'évaluation des modèles d'IA prédictive et générative avec Vertex AI, en maîtrisant les métriques, méthodologies et bonnes pratiques pour des résultats fiables.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Português Brasileiro

Explore técnicas avançadas de avaliação de modelos de IA generativa e preditiva usando Vertex AI, com foco em métricas, metodologias e práticas para garantir resultados confiáveis em produção.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版

Dive into MLOps評価手法を学び、Vertex AIを使用して生成AIと予測AIモデルの信頼性と性能を最適化するための実践的なツールとベストプラクティスを習得。

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

Coursera

MLOps in R: Deploying machine learning models using vetiver

Learn to deploy machine learning models efficiently using Vetiver in R. Build ensemble models, set up deployment frameworks, and monitor performance through a hospital readmission scenario.

• Coursera
• 2 hours 39 minutes
• Self-Paced
• Paid Course

MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어

Dive into MLOps 모델 평가 기술을 배우고 Vertex AI를 활용하여 생성형 AI와 예측형 AI 모델의 성능을 최적화하는 실용적인 방법을 습득하세요.

• Coursera
• 1 hour 47 minutes
• Self-Paced
• Paid Course

University of Edinburgh;  British Council;  Learning for Sustainability Scotland

Learning for Sustainable Futures: Live at COP30

Explore COP30's climate discussions while gaining live insights from world leaders, experts, and communities to inspire your sustainable future action.

• Coursera
• 16 hours 8 minutes
• Self-Paced
• Paid Course

Packt

Learning Google Apps Script - Automate Google Apps

Master JavaScript-based automation for Google Workspace apps through hands-on projects including email automation, interactive forms, calendar integration, and custom web applications.

• Coursera
• 13 hours 22 minutes
• Self-Paced
• Paid Course

EDUCBA

Machine Learning Projects in R with Caret

Master hands-on machine learning workflows in R using caret package through real-world projects covering data preprocessing, missing value handling, and clustering techniques.

• Coursera
• 5 hours 5 minutes
• Self-Paced
• Paid Course

CertNexus

Train Machine Learning Models

Aprende conceptos básicos de machine learning, prueba hipótesis, y entrena, ajusta y evalúa modelos para clasificación, regresión y clustering. Requiere conocimientos en tecnología informática y programación.

• Coursera
• 1 day 4 hours 39 minutes
• Self-Paced
• Paid Course

Packt

Web Security, Social Engineering & External Attacks

Dive into web security essentials, learning to identify and defend against social engineering tactics, external attacks, and web vulnerabilities using tools like msfvenom, Beef, and ethical hacking methodologies.

• Coursera
• 14 hours 26 minutes
• Self-Paced
• Paid Course

Coursera

Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

Master AI techniques that enable models to perform effectively with minimal labeled data through zero-shot and few-shot learning approaches for real-world applications.

• Coursera
• 3 hours 52 minutes
• Self-Paced
• Paid Course

Write a Month of Social Media Posts with Claude AI

Master AI-powered social media content creation using Claude AI—define brand voice, generate diverse posts, and build a complete month-long content calendar ready to publish.

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

Coursera

Inspire Student Learning with Showbie

Learn to use Showbie to streamline organization, communication, and teaching. Set up classes, use tools for assignments, feedback, and parent communication to enhance learning experiences.

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

Career Certificate

Machine Learning Engineering for Production (MLOps)

Develop production-ready ML systems: conceptualize, build, and maintain integrated solutions that handle evolving data, operate continuously, and balance cost with performance for real-world AI applications.

• Coursera
• 17 weeks, 6 hours a week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Preparing for Google Cloud Certification: Machine Learning Engineer

Comprehensive program for aspiring ML engineers, covering Google Cloud's big data and ML services, TensorFlow, feature engineering, and MLOps. Includes hands-on labs and certification preparation.

• Coursera
• 30 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 9 courses