Mining Engineering Courses

MathWorks

AI for Engineering: An Overview

Explore how AI enhances engineering workflows—from simulation and virtual sensors to predictive maintenance and digital twins—while applying responsible AI principles like explainability and observability.

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

Coursera

Databricks GenAI Engineering

Master building production-grade GenAI apps on Databricks by constructing RAG pipelines, fine-tuning models with MLflow, and evaluating responses for relevance, hallucination rate, and latency.

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

Coursera

Modern Embedded Software Engineering Architecture Toolchains

Master advanced embedded toolchains by configuring cross-compiled ARM builds, generating custom Linux images with Yocto, and implementing lock-free concurrency patterns to eliminate priority inversion.

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

Board Infinity

Agent Foundations and Prompt Engineering

Master the design and deployment of AI agents using LLMs, advanced prompt engineering techniques, and automated workflows for research, summarization, and decision-making tasks.

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

Coursera

Geospatial Data Engineering

Master geospatial data engineering by building scalable pipelines on AWS and GCP, processing real-time GPS streams, analyzing climate datasets, and creating ESG reports for career-ready outcomes.

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

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 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

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 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

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

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

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

Pragmatic AI Labs

Data Engineering with Delta Lake on Databricks

Master production-ready data pipelines using Delta Live Tables and Medallion Architecture on Databricks through hands-on labs and a complete inventory management capstone project.

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

Pragmatic AI Labs Credential

Enterprise AI and Data Engineering with Databricks

Master enterprise AI and data engineering on Databricks through hands-on lakehouse architecture, Delta Lake pipelines, MLflow tracking, generative AI with LLMs, and production MLOps governance.

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

Packt

Data Engineering with Scala and Spark

Master building scalable data pipelines with Scala and Spark, covering streaming/batch processing, performance tuning, testing, CI/CD, and cloud deployment for data engineers.

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