Website Deployment Courses and Certifications

Managing Machine Learning Models

Master model lifecycle management from creation to deployment, including governance, testing, monitoring, and automated scoring across SAS, Python, and R environments.

• Coursera
• 8 hours 34 minutes
• Self-Paced
• Paid Course

Coursera

Secure AI Model Deployments & Lifecycles

Master secure AI model deployment strategies, registry management, and lifecycle monitoring to confidently ship production-ready models with proper governance and risk controls.

• Coursera
• 4 hours 12 minutes
• Self-Paced
• Paid Course

Coursera

Deploying Open Models

Master containerization, cloud deployment, and monitoring strategies for generative AI models in production environments with hands-on Docker, AWS/GCP/Azure experience.

• Coursera
• 5 hours 23 minutes
• Self-Paced
• Paid Course

AWS Certified AI Practitioner Exam Prep

Master AI, ML, and generative AI concepts on AWS while preparing for the AWS Certified AI Practitioner exam, covering responsible AI, SageMaker, and prompt engineering.

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

Coursera

Automate, Evaluate and Deploy ML Models Confidently

Master production-grade MLOps by building automated CI/CD pipelines with GitHub Actions, analyzing Optuna trials, and implementing validation gates for confident model deployment.

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

AWS Machine Learning Engineer Associate Exam Prep

Prepare for the AWS Certified Machine Learning Engineer – Associate exam by mastering ML workflows, data preparation, model deployment, SageMaker, MLOps, and GenAI services on AWS.

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

Packt

From Recipe to Chef - Become an LLM Engineer

Master LLM engineering from fundamentals to deployment, covering data processing, model training, fine-tuning, prompt engineering, and building production-ready AI applications.

• Coursera
• 8 hours 30 minutes
• Self-Paced
• Paid Course

AI Infrastructure: Deployment Types

Explore Google Cloud's AI infrastructure deployment strategies, from Compute Engine to Kubernetes, with hands-on cluster creation and inference optimization techniques.

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

Coursera

Orchestrate, Analyze, and Evaluate AI Deployments

Master MLOps deployment lifecycle with CI/CD, Kubernetes, and GitLab. Analyze telemetry data, troubleshoot performance issues, and evaluate AI model success against business KPIs.

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

Practical Machine Learning without Coding

Discover how to build, optimize, and deploy machine learning models using no-code platforms, from standard algorithms to advanced automation and real-world business integration.

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

EDUCBA

Build a Construction Website Using WordPress

Master WordPress development by building a complete construction website from local setup through live deployment, covering themes, plugins, optimization, and industry workflows.

• Coursera
• 7 hours 24 minutes
• Self-Paced
• Paid Course

Packt

Real-world End to End Machine Learning Ops on Google Cloud

Master the complete ML lifecycle on Google Cloud with CI/CD pipelines, Vertex AI, Kubeflow, and automated deployment using real-world hands-on projects and industry best practices.

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

SAS Certification Practice Exams

Master SAS certification readiness with three practice exams covering applied statistics, machine learning using Viya, and ModelOps for comprehensive exam preparation.

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

Coursera

Optimize AI: Build Reusable Model Pipelines

Master strategic model selection and build standardized ML pipelines using Scikit-learn for efficient, scalable AI workflows in production environments.

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

H2O.ai

H2O Gen AI Ecosystem Overview - Level 2

Dive into H2O's GenAI platform's advanced capabilities, from data preparation to model deployment, guided by Kaggle Grand Master Sanyam Bhutani through practical techniques and real-world applications.

• Coursera
• 1 hour 11 minutes
• Self-Paced
• Paid Course