Geotechnical Engineering Courses

Coursera Credential

Spark, Skew & Speed: Pipeline Performance Engineering

Master distributed pipeline engineering with Apache Spark—tackle data skew, shuffle inefficiencies, query bottlenecks, and anomalies to build fast, reliable enterprise-scale data systems.

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

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

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

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

Coursera Credential

Embedded Firmware Engineering

Master embedded firmware engineering—from microcontroller fundamentals and RTOS multithreading to BSP development and production-ready driver design for IoT, automotive, and robotics applications.

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

Prompt Engineering for ChatGPT

Master prompt engineering for ChatGPT using frameworks like CO-STAR, RACE, and CREATE to eliminate hallucinations, chain complex prompts, and transform AI into a professional productivity multiplier.

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

Introduction to Data Engineering on Google Cloud

Take the first step toward becoming a data engineer with Google Cloud and edX — build key skills, deepen your understanding of the role, learn how to solve challenges, and plan your next move.

• edX
• 16 hours
• Self-Paced
• Free Online Course (Audit)

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

(ISC)²

Foundations of Security Engineering

Master the principles of systems security engineering, risk management frameworks, and secure system life cycles to build resilient, trustworthy systems and advance your cybersecurity career.

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