Reservoir Engineering Courses

Cisco

Implementing MPLS Traffic Engineering

Master MPLS Traffic Engineering components, operations, and configuration on Cisco IOS platforms to optimize network performance through traffic tunnels and constraint-based routing.

• Coursera
• 15 hours 29 minutes
• Self-Paced
• Paid Course

KodeKloud

Chaos Engineering

Master chaos engineering principles and hands-on AWS fault injection techniques to build resilient systems across EC2, Aurora, Fargate, EKS, and multiple availability zones.

• Coursera
• 5 hours 18 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering on Google Cloud - 日本語版

Discover Google Cloud データエンジニアリングの基礎から、データの抽出、変換、読み込みまでの実践的なスキルを習得し、効率的なデータパイプラインの構築方法を学習。

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

Introduction to Data Engineering on Google Cloud - Português Brasileiro

Explore técnicas avançadas de engenharia de dados no Google Cloud, desde replicação e migração até automação de pipelines, com foco em ETL, ELT e gerenciamento eficiente de dados.

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

Launch Your DevOps Engineering Career

Unlock strategies for landing senior DevOps roles, from optimizing your resume with metric-driven achievements to mastering system design and incident-response interview scenarios.

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

Edureka

Data Engineering and Spark Foundations for AI and ML

Master data engineering with Databricks, Apache Spark, and Lakehouse architecture to build scalable AI/ML pipelines using PySpark, Unity Catalog, and batch or real-time ingestion workflows.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Edureka

Feature Engineering and Feature Stores for AI and ML

Master feature engineering, Feature Stores, and ML pipeline automation using Databricks, MLflow, and orchestration tools to build scalable, production-ready AI/ML data workflows.

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

Edureka

Observability Engineering: Metrics, Logs, and Traces

Master observability engineering using Prometheus, Grafana, Loki, OpenTelemetry, and Jaeger to monitor, trace, and troubleshoot distributed systems with metrics, logs, and traces.

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

Coursera

Production ML Engineering: Packaging, APIs, and Testing

Master the end-to-end process of packaging ML models, building production APIs, implementing CI/CD workflows, and designing automated tests to deploy reliable machine learning systems.

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

Pipeline Engineering & Automation

Master enterprise CI/CD by building event-driven Azure pipelines, YAML template libraries, and governance toolchains to auto-heal environments, optimize DORA metrics, and scale automation across multi-cloud systems.

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

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

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

Packt

Fundamentals of Analytics Engineering

Master analytics engineering from data ingestion to visualization, covering ELT workflows, cloud warehousing, dbt, and Tableau while building scalable, reliable data platforms with real-world applications.

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

Pragmatic AI Labs

GitHub: Advanced Prompt Engineering for Code

Master advanced GitHub Copilot techniques—multi-turn interactions, iterative refinement, and context control with @workspace and #file markers—to produce production-quality code efficiently.

• Coursera
• 3 hours 14 minutes
• Self-Paced
• Paid Course

Whizlabs

Generative AI & Prompt Engineering

Master Generative AI concepts, prompt engineering techniques, and AWS services like Amazon Bedrock and Amazon Q to build intelligent AI-powered applications with RAG architectures and foundation models.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course