Geotechnical Engineering Courses

Coursera Credential

Eyes on AI - Computer Vision Engineering

Master computer vision engineering by building, optimizing, and deploying AI systems for real-world applications like autonomous vehicles and medical imaging using PyTorch and MLOps practices.

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

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

Foundations of Site Reliability Engineering Training

Master Site Reliability Engineering with hands-on labs using Prometheus, Grafana, Jenkins, and Kubernetes. Learn SLIs, SLOs, chaos engineering, CI/CD, and incident management to build resilient cloud systems.

• Coursera
• 22 hours 22 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

Pragmatic AI Labs

Data Engineering with Delta Lake on Databricks

Master production-ready data pipelines using Delta Live Tables and Medallion Architecture on Databricks through hands-on labs and a complete inventory management capstone project.

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

Pragmatic AI Labs Credential

Enterprise AI and Data Engineering with Databricks

Master enterprise AI and data engineering on Databricks through hands-on lakehouse architecture, Delta Lake pipelines, MLflow tracking, generative AI with LLMs, and production MLOps governance.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 5 courses

Packt

Data Engineering with Scala and Spark

Master building scalable data pipelines with Scala and Spark, covering streaming/batch processing, performance tuning, testing, CI/CD, and cloud deployment for data engineers.

• Coursera
• 17 hours 56 minutes
• Self-Paced
• Paid Course

Whizlabs

Prompt Engineering Generative AI & LLM Models Fundamentals

Master prompt engineering and LLM fundamentals through hands-on training, optimization techniques, and advanced architectures like RAG for real-world AI applications.

• Coursera
• 6 hours 28 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

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

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

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