Computer Science Courses and Certifications

10 Things Every Production SQL Server Should Have

1009 ratings at Udemy

The Bare Essentials Every SQL Server Production Server Should Have.

• Udemy
• 1 hour 36 minutes
• Self-Paced
• Paid Course

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

Career Certificate

Practical Machine Learning: Foundations to Neural Networks

Master probability, statistics, and neural networks to build rigorous machine learning models from linear regression to deep learning applications.

• Coursera
• 12 weeks, 8 hours/week
• Self-Paced
• Paid Course
• 3 courses

Foundations for Machine Learning

Master essential probability distributions and Bayesian vs frequentist perspectives to build a strong mathematical foundation for machine learning and data science applications.

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

Machine Learning Fundamentals

Discover supervised machine learning fundamentals, from linear regression to classification models, regularization techniques, and performance evaluation using ROC curves.

• Coursera
• 1 day 10 hours 7 minutes
• Self-Paced
• Paid Course

Rust Programming For Beginners

1005 ratings at Udemy

Learn the fundamentals of how to code and develop software applications using the Rust programming language.

• Udemy
• 10 hours 57 minutes
• Self-Paced
• Paid Course

WSET Level 3 Award in Spirits (Self-Paced)

1 rating at CourseHorse

The WSET Level 3 Award in Spirits is an advanced qualification that deepens your understanding of global spirits, focusing on production techniques, key spirit categories, and tasting skills.

• CourseHorse
• 267 hours
• Self-Paced
• $1,180.00

Business 104: Information Systems and Computer Applications

Comprehensive overview of information systems in business, covering hardware, software, networks, enterprise systems, and data management. Includes ethical considerations and programming basics.

• Study.com
• 15 hours 20 minutes
• Self-Paced
• Paid Course

Master JAVASCRIPT from Scratch: Build Real-World Projects

1000 ratings at Udemy

From Zero to JavaScript Pro: Master Coding with 7 Hands-On Real-World Projects

• Udemy
• 1 hour 51 minutes
• Self-Paced
• Paid Course

Distributed Systems and Web Services

Explore distributed architectures and RESTful APIs to build scalable cloud systems using Flask, Docker, and cloud storage technologies.

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

Managing AI Deployment Projects, Part 2

Master the CPMAI framework to manage AI deployment projects, covering model development, evaluation, operationalization, governance, and ethics for real-world, vendor-neutral AI success.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Getting Started with Google Gemini API

Explore the Google Gemini API, from setup to advanced features like function calling, structured output, and real-time web grounding to build intelligent, high-performance AI systems in Python or JavaScript.

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

Career Certificate

Information Systems Foundations

Immersive specialization in software development, covering advanced engineering techniques, domain modeling, and Python programming. Builds practical skills through hands-on projects tackling real-world information systems challenges.

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

Coursera

Build a CI/CD Pipeline with Docker: From Code to Deployment

Master Docker containerization and CI/CD pipeline creation using GitHub Actions. Build, automate, and deploy applications to AWS ECR and EC2, streamlining your development workflow with hands-on practice.

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