Geotechnical Engineering Courses

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

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 Career Certificate

Data Engineering for AI and ML Pipelines

Master building end-to-end ML data pipelines on Databricks using Apache Spark, Delta Lake, Medallion Architecture, and feature stores to deliver AI-ready data at scale.

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

Career Certificate

Microsoft DevOps Engineering

Master enterprise DevOps with Azure, GitHub Actions, Kubernetes, Terraform, and OpenTelemetry to build, automate, secure, and monitor scalable infrastructure aligned to SOX, ISO 27001, and CIS benchmarks.

• Coursera
• Self-Paced
• Paid Course
• 5 courses

Starweaver

AI for Project Managers: Prompt Engineering & Use Cases

Master prompt engineering and generative AI to streamline project management. Generate artifacts, forecast delivery risks, and optimize portfolio decisions for better outcomes.

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

KodeKloud

Generative AI: OpenAI API and Prompt Engineering

Master the OpenAI API and prompt engineering to build three AI applications, applying transformers, tokenization, and fine-tuning in real projects.

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

KodeKloud Career Certificate

Generative AI Engineering with OpenAI API and AWS Models

Master production-grade AI engineering with OpenAI API and AWS. Build RAG pipelines, AI agents, and vision apps while applying responsible AI governance.

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

KodeKloud

Data Engineering Essentials

Master MLOps-ready data engineering with Kafka, Spark, and Airflow to build scalable, automated pipelines that bridge raw data to production AI systems.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

LLM Engineering That Works: Prompting, Tuning, and Retrieval

Master production-grade LLM systems through hands-on engineering, from prompt design to deployment, evaluation, and ethical AI practices for scalable applications.

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

LearnKartS

Integrate AI Models in n8n: Prompt Engineering & Outputs

Embed OpenAI, Claude, Gemini, and Ollama into n8n workflows. Master prompt engineering, structured outputs, email automation, and local LLM setup to build self-running AI systems.

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

Edureka

Site Reliability Engineering (SRE) Principles

Master SRE principles, from SLIs, SLOs, and error budgets to observability with Prometheus and Grafana, incident management, GitOps recovery, and automation for resilient cloud-native systems.

• Coursera
• 4 weeks, 2 hours a week
• 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

Packt

Build with LLMs: Prompt Engineering & Real AI Projects

Master prompt engineering and build real AI projects, covering LLM core concepts, tokenization, few-shot prompting, and chain-of-thought techniques to create an AI-powered Git commit message generator.

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

Edureka

Data Engineering Workflow Orchestration with Airflow

Master Apache Airflow to design, build, and deploy production-ready data pipelines with operators, sensors, TaskFlow API, CI/CD integration, and advanced DAG optimization techniques.

• Coursera
• 9 hours 46 minutes
• Self-Paced
• Paid Course