Website Deployment Courses and Certifications

Career Certificate

Integrate Generative AI Into Your Data Workflow

13 ratings at Coursera

Master BigQuery ML and Gemini models for advanced data analysis, predictive modeling, and AI-powered workflow optimization in Google Cloud console through hands-on labs.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

EDUCBA Career Certificate

AI Driven Machine Learning with Python

13 ratings at Coursera

Master AI-driven machine learning through hands-on Python projects, from data preprocessing to model deployment, with real-world applications in healthcare and image detection.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

DP-3007: Train and Deploy a Machine Learning Model with Azure Machine Learning (Live Online)

8 ratings at CourseHorse

Master the complete machine learning lifecycle with this hands-on course.

• CourseHorse
• 6 hours
• Self-Paced
• $595.00

Designing and Implementing a Data Science Solution (Live Online)

8 ratings at CourseHorse

Build the skills to design and implement data science solutions on Azure in this comprehensive course.

• CourseHorse
• 27 hours
• Self-Paced
• $2,295.00

Career Certificate

Data Science Fundamentals, Part 1

6 ratings at Coursera

Master the complete data science workflow from data acquisition to ML model deployment using Python, with hands-on exercises and real-world applications.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

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

Whizlabs Career Certificate

Data Science and Machine Learning Engineering on Microsoft Azure

5 ratings at Coursera

Master Azure data science and machine learning with hands-on training in ML model design, deployment, and optimization to earn Microsoft DP-100 certification.

• Coursera
• 16 weeks, 28 hours/week
• Self-Paced
• Paid Course
• 4 courses

Machine Learning Deep Learning Model Deployment

1005 ratings at Udemy

Serving TensorFlow Keras PyTorch Python Flask Serverless REST API MLOps MLflow NLP Generative AI OpenAI GPT Copilot

• Udemy
• 6 hours 34 minutes
• Self-Paced
• Paid Course

Coursera

Snowflake for Data Science: Intro to Snowpark ML for Python

Learn to build end-to-end machine learning workflows using Snowpark ML for Python. Master data preprocessing, model training, and deployment in Snowflake's data cloud environment.

• Coursera
• 2 hours 40 minutes
• Self-Paced
• Paid Course

Working with Notebooks in Vertex AI

Explore Vertex AI Notebooks: a unified Jupyter-based platform for machine learning workflows. Learn about notebook types, features, creation, and management in Google Cloud's ML environment.

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

Introduction to Vertex Forecasting and Time Series in Practice

Learn to build forecasting solutions using Google Cloud, covering sequence models, time series analysis, and end-to-end workflows with Vertex AI. Gain practical skills through retail use cases and hands-on model development.

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

Scrimba

Build & Deploy Your Web Dev Portfolio

Learn to create and deploy a personalized portfolio website, showcasing your skills and projects effectively to potential employers. Gain hands-on experience in web development and hosting.

• Coursera
• 2 hours 43 minutes
• Self-Paced
• Paid Course

Coursera

TensorFlow for Beginners: Basic Binary Image Classification

Learn to build and train a neural network for classifying cat and dog images using TensorFlow. Covers data preprocessing, CNN architecture, hyperparameter tuning, and model evaluation techniques.

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

Coursera

Advanced Data Science Techniques (with AWS Integration)

Master sophisticated ML models and AWS deployment through hands-on projects covering feature engineering, time series analysis, and cloud-based machine learning pipelines.

• Coursera
• 1 day 5 hours 29 minutes
• Self-Paced
• Paid Course

AWS Certified Machine Learning - Specialty

Master the complete machine learning lifecycle on AWS, from data engineering to model deployment, preparing you for the specialty certification exam.

• Coursera
• 7 hours 28 minutes
• Self-Paced
• Paid Course