Mining 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

Packt

Build with LLMs: Prompt Engineering & Real AI Projects

Master prompt engineering and build real AI projects, covering LLM core concepts, tokenization, few-shot prompting, and chain-of-thought techniques to create an AI-powered Git commit message generator.

• Coursera
• 8 hours 11 minutes
• Self-Paced
• Paid Course

Edureka

Data Engineering Workflow Orchestration with Airflow

Master Apache Airflow to design, build, and deploy production-ready data pipelines with operators, sensors, TaskFlow API, CI/CD integration, and advanced DAG optimization techniques.

• Coursera
• 9 hours 46 minutes
• Self-Paced
• Paid Course

Coursera

Advancing Your Career in AI and Machine Learning Engineering

Unlock strategies to advance your AI and ML engineering career, from building a portfolio and resume to navigating interviews and exploring roles in MLOps, AI systems, and applied machine learning.

• Coursera
• 14 minutes
• Self-Paced
• Paid Course

Coursera

Advancing Your Career in Computer Vision Engineering

Unlock career opportunities in computer vision by translating technical skills into portfolio artifacts, resume achievements, and confident interview communication for early-career AI engineers.

• Coursera
• 33 minutes
• Self-Paced
• Paid Course

Coursera

Career Development For Open Source Data Engineering

Unlock a job-ready data engineering career by building a compelling portfolio, optimizing your resume and LinkedIn, and mastering interviews with a concrete 30-day action plan using Airflow, dbt, and Spark.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Coursera

Data Engineering & Pipeline Reliability for Machine Learning

Master data engineering skills using Python and pandas to clean, encode, validate datasets, build ML pipelines, manage schema changes, and optimize compute costs for production-ready ML infrastructure.

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

Coursera

Data Modeling & Warehousing Fundamentals in Data Engineering

Master data warehousing essentials: design star schemas, apply normalization, use SQL window functions, configure replication, and implement incremental loading for scalable enterprise analytics.

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

Coursera

DevOps and CI/CD for Data Engineering Performance

Master DevOps practices for data engineering—covering Git conflict resolution, Docker containerization, Ansible automation, CI/CD pipelines, and query optimization to build production-ready, portfolio-worthy skills.

• Coursera
• 11 hours 58 minutes
• Self-Paced
• Paid Course

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

Level Up: Advanced SQL for Data Engineering

Master advanced SQL skills for data engineering, covering ELT pipelines, lakehouse architecture, performance optimization, security, and data governance to excel in senior engineering roles.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 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