Structural Engineering Courses

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

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 Credential

AI & LLM Engineering Mastery - GenAI, RAG Complete Guide

Master AI and LLM engineering through hands-on projects building GenAI applications, RAG systems, chatbots, and fine-tuned models with prompt engineering and API integration.

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

EDUCBA Credential

Apache Avro & Kafka Data Engineering Projects

Master Apache Avro & Kafka through hands-on projects building serialization pipelines, real-time streaming systems, and enterprise search solutions for large-scale data platforms.

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

Packt Credential

Data Engineering on AWS - The Complete Training

Master AWS data engineering by building scalable pipelines, processing big data with EMR, streaming with Kinesis, and creating data lakes using Glue, Redshift, and other key services.

• Coursera
• 4 weeks, 10 hours/week
• 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 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

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

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

Credential

DevOps & Site Reliability Engineering Mastery Certification

Master DevOps and SRE skills by building CI/CD pipelines, automating infrastructure with Terraform, deploying Kubernetes apps, and applying SLIs, SLOs, and chaos engineering for reliable cloud-native systems.

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

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

Train, Tune, & Ship: End-to-End Machine Learning Engineering

Master the complete ML engineering lifecycle, from training and tuning models to deploying optimized, production-ready systems using PyTorch, TensorFlow, and scikit-learn.

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

Coursera Credential

Pipeline Architects: Data Engineering to Lakehouse

Master end-to-end data engineering, from ingestion to lakehouse delivery, using Python, SQL, Airflow, dbt, Snowflake, Kafka, and Delta Lake to build production-ready pipelines at enterprise scale.

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