Reservoir Engineering Courses

Foundations of Site Reliability Engineering Training

Master Site Reliability Engineering with hands-on labs using Prometheus, Grafana, Jenkins, and Kubernetes. Learn SLIs, SLOs, chaos engineering, CI/CD, and incident management to build resilient cloud systems.

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

Feature Engineering en Français

Apprenez à améliorer la précision des modèles ML avec Vertex AI Feature Store, BigQuery ML, Keras et TensorFlow. Explorez l'ingénierie des caractéristiques et le prétraitement des données.

• Coursera
• 10 hours 17 minutes
• Self-Paced
• Paid Course

Credential

Data Warehouse Engineering

Gain skills in data warehouse design, deployment, and management. Learn SQL, Linux scripting, ETL processes, and BI tools for data analysis and insights extraction in enterprise environments.

• edX
• 34 weeks, 3-4 hours/week
• Self-Paced
• $722.00
• 5 courses

Credential

Data Engineering

Comprehensive program covering data engineering fundamentals, databases, SQL, Python, ETL, data pipelines, big data tools, and hands-on projects for practical skills development and career readiness.

• edX
• 57 weeks, 3-4 hours/week
• Self-Paced
• $1,196.00
• 10 courses

Credential

Data Engineering Fundamentals

Comprehensive introduction to data engineering, covering Python, SQL, databases, and data management. Hands-on labs provide practical skills for aspiring data engineers.

• edX
• 17 weeks, 4-6 hours/week
• Self-Paced
• $524.00
• 2 courses

Credential

IBM Data Engineering

Master Python, SQL, databases, and data engineering skills for in-demand careers. Gain hands-on experience with ETL, data warehousing, NoSQL, big data, and Spark through projects and labs. Earn a professional certificate from IBM.

• Coursera
• 65 weeks, 4 hours a week
• Self-Paced
• Paid Course
• 13 courses

Credential

IBM DevOps and Software Engineering

Comprehensive program covering DevOps practices, tools, and technologies. Develop skills in Agile, Python, Linux, cloud computing, containerization, microservices, CI/CD, and application security for an entry-level software engineering role.

• Coursera
• 13 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 13 courses

Technion - Israel Institute of Technology;  Campus - the Israeli National Project for Digital Learning Credential

Model-Based Systems Engineering - MBSE

Learn Model-Based Systems Engineering using Object-Process Methodology for conceptual modeling of complex systems. Gain practical skills with OPCloud and apply MBSE principles to diverse real-world scenarios.

• edX
• 10 weeks, 5-6 hours/week
• Self-Paced
• $378.00
• 2 courses

Credential

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

Credential

Data Engineering, Big Data and ML on Google Cloud 日本語版

Google Cloud Platformでデータ処理システムを設計・構築する実践的入門コース。構造化・非構造化・ストリーミングデータの処理、分析、機械学習の実施方法を学び、ビッグデータ変換スキルを習得。

• Coursera
• 8 weeks, 19 hours a week
• Self-Paced
• Paid Course
• 5 courses

Credential

IBM AI Engineering

Master AI engineering with hands-on projects in machine learning, deep learning, and computer vision. Gain practical skills using Python, popular libraries, and frameworks like PyTorch and TensorFlow for various industry applications.

• Coursera
• 39 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 6 courses

Credential

Data Engineering, Big Data and ML on Google Cloud en Español

Introducción práctica al diseño y compilación de sistemas de procesamiento de datos en Google Cloud Platform. Aprenda a crear canalizaciones, analizar datos y aplicar aprendizaje automático.

• Coursera
• 8 weeks, 14 hours a week
• Self-Paced
• Paid Course
• 5 courses

Packt

AI-Powered DevOps and Data Engineering on AWS

Master AI-powered development with Amazon Q Developer, automating tasks, generating code, scanning security vulnerabilities, and streamlining DevOps and data engineering workflows on AWS.

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

UiPath

Agentic prompt engineering

Master agentic prompt engineering to effectively communicate with AI agents and LLMs for automation, decision-making, and intelligent task execution across various professional domains.

• Coursera
• 1 hour 10 minutes
• Self-Paced
• Paid Course

Packt

AI Engineering and Deployment

Master TensorFlow, CNNs, RNNs, and AI agent frameworks like AutoGPT to build, deploy, and scale ML models with ethical considerations for real-world applications.

• Coursera
• 8 hours 58 minutes
• Self-Paced
• Paid Course