Mining Engineering Courses

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

Packt

Prompt Engineering Foundations

Master prompt engineering fundamentals by building AI-powered tools with OpenAI and Anthropic APIs, managing LLMs, and creating real-world projects using Python in under 6 hours.

• Coursera
• 5 hours 29 minutes
• Self-Paced
• Paid Course

LearnKartS

Prompt Engineering for ChatGPT: Beginner to Advanced

Master prompt engineering for ChatGPT, from basics to advanced techniques like Chain-of-Thought and Few-Shot Prompting, to craft precise, high-quality AI outputs for text, images, and code.

• Coursera
• 12 hours 43 minutes
• Self-Paced
• Paid Course

Edureka

Observability Engineering: Metrics, Logs, and Traces

Master observability engineering using Prometheus, Grafana, Loki, OpenTelemetry, and Jaeger to monitor, trace, and troubleshoot distributed systems with metrics, logs, and traces.

• Coursera
• 12 hours 12 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

Coursera

Production ML Engineering: Packaging, APIs, and Testing

Master the end-to-end process of packaging ML models, building production APIs, implementing CI/CD workflows, and designing automated tests to deploy reliable machine learning systems.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

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

Packt Career Certificate

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

Career Certificate

Microsoft Generative AI Engineering

Master generative AI engineering with Azure tools, building and fine-tuning LLMs, GANs, and transformer models while implementing MLOps and responsible AI practices.

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

Coursera Career Certificate

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