Geotechnical Engineering 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 Credential

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

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

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

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

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

Coursera

Strategize Your Data Engineering Evolution

Elevate your data engineering expertise by mastering architecture gap analysis, SQL-driven cost-benefit models, and strategic migration roadmaps to lead enterprise-wide modernization initiatives.

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

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

Pragmatic AI Labs

AI-Powered Analytics and Performance Engineering

Master building AI-powered analytics pipelines on AWS using Amazon Bedrock, Lambda benchmarking, and Amazon Q for BI, including Rust integration, cost optimization, and natural language SQL queries.

• Coursera
• 3 hours 32 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

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

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