Geotechnical Engineering Courses

Pragmatic AI Labs

Rust Data Engineering

Use Rust's power for high-performance, concurrent data pipelines - from core principles to real-world deployments.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Pragmatic AI Labs

Advanced Data Engineering

Become an expert in scaling data systems. Master Celery, Airflow, graph databases. Build real-world solutions for massive datasets and complex workflows. Optimize performance at enterprise scale. 10 hands-on labs and exercise to "learn by doing".

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Introduction to Electrical and Electronic Engineering - 電気電子工学入門 -

Explore electrical and electronic engineering fundamentals through real-world examples from Japanese industry, including solar cells, mobile phones, high-speed railways, and cutting-edge research applications.

• edX
• 4 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Mastering Generative AI for Data Engineering

Gain insights into using generative AI for data engineering tasks, from architecture design to ETL workflows, with hands-on projects to enhance your skills and career prospects in this high-demand field.

• edX
• 4 weeks, 3-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Azure Synapse Apache Spark Pools: Data engineering

Master Apache Spark in Azure Synapse Analytics for data engineering, including Delta Lake for ACID transactions, data transformation techniques, and visualization using SQL, notebooks, and Python libraries.

• edX
• 1 week, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

LearnKartS Credential

Backend Engineering with Node.js

Master backend development with Node.js, Express.js, and MongoDB—build secure, scalable, production-ready systems with JWT auth, Redis, Stripe payments, and Heroku deployment.

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

Coursera Credential

Data Pipeline Engineering & Analytics

Master automated ETL processes, SQL optimization, dimensional modeling, and interactive dashboards while analyzing user behavior to build robust data infrastructure that drives business impact.

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

Packt Credential

Prompt Engineering Masterclass - From Beginner to Advanced

Master prompt engineering from basics to advanced, building AI tools with OpenAI and Anthropic models, designing effective prompts, and creating real-world AI applications using Python.

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

Coursera Credential

Modern Data Architecture & Lakehouse Engineering

Discover how to architect production-ready lakehouse platforms combining data lakes and warehouses with hands-on training in Spark, dbt, Airflow, and cloud infrastructure optimization.

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

Coursera Credential

Pixels, Waveforms & Words: Engineering Multimodal AI Systems

Master the full engineering stack for multimodal AI systems—processing images, audio, and text together—using PyTorch, TensorFlow, and OpenCV to build, evaluate, and deploy production-ready solutions.

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

EDUCBA Credential

AWS Cloud Engineering, Architecture & DevOps Specialization

Master AWS cloud engineering, architecture, DevOps automation, and IoT development through hands-on labs and real-world scenarios to build job-ready skills with certification alignment.

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

LearnKartS Credential

Agentic AI Engineering: RAG, MCP & MERN

Master building autonomous AI systems using RAG, MCP & MERN stack—integrating OpenAI, vector databases, and tool calling to deploy production-ready agentic AI applications.

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

Coursera Credential

Open source Data Engineering with Spark, dbt & Airflow

Master open-source data engineering using Apache Spark, dbt, and Airflow to build scalable pipelines, optimize performance, and deploy CI/CD workflows for production-ready data infrastructure.

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

Coursera Credential

Deep Learning Engineering

Master production-scale deep learning systems through TensorBoard diagnostics, PyTorch optimization, transformer fine-tuning, and GPU deployment with containerized infrastructure.

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