Geotechnical Engineering Courses

Packt

Security Engineering and Cryptography

Master advanced security engineering principles and cryptographic protocols to design, implement, and troubleshoot robust infrastructure security solutions for modern organizations.

• Coursera
• 9 hours 8 minutes
• Self-Paced
• Paid Course

Advanced Prompt Engineering Course

Master prompt engineering fundamentals and advanced techniques like CoT, few-shot prompting, and dynamic template creation using LangChain for scalable GenAI applications.

• Coursera
• 7 hours 31 minutes
• Self-Paced
• Paid Course

Coursera

Azure Data Engineering: Cosmos DB, SQL & Analytics

Master Azure data engineering with Cosmos DB, SQL & Synapse Analytics. Build scalable cloud solutions, optimize queries, and create analytical dashboards in 3+ hours of hands-on learning.

• Coursera
• 3 hours 23 minutes
• Self-Paced
• Paid Course

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

Credential

IBM AI Engineering

Master AI engineering with hands-on projects in machine learning, deep learning, and computer vision. Gain practical skills using Python, popular libraries, and frameworks like PyTorch and TensorFlow for various industry applications.

• Coursera
• 39 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 6 courses

Edureka Credential

Analytics Engineering with dbt

Master SQL, dimensional modeling, and dbt Core to build scalable analytics pipelines, optimize data transformations, and deliver business insights through production-grade workflows.

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