Industrial Engineering Courses

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

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

Packt

AI-Powered DevOps and Data Engineering on AWS

Master AI-powered development with Amazon Q Developer, automating tasks, generating code, scanning security vulnerabilities, and streamlining DevOps and data engineering workflows on AWS.

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

(ISC)²

Foundations of Security Engineering

Master the principles of systems security engineering, risk management frameworks, and secure system life cycles to build resilient, trustworthy systems and advance your cybersecurity career.

• Coursera
• 6 hours
• Self-Paced
• Paid Course

Coursera Credential

LLM Engineering That Works: Prompting, Tuning, and Retrieval

Master production-grade LLM engineering covering prompt design, model tuning, retrieval, evaluation, and deployment through hands-on projects for scalable, ethical AI systems.

• Coursera
• Self-Paced
• Paid Course
• 6 courses

Whizlabs

NVIDIA: Prompt Engineering and Data Analysis

Master prompt engineering and data analysis techniques for LLMs using NVIDIA tools, from crafting effective prompts to implementing RAG architecture and accelerated data visualization workflows.

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

Introduction to Data Engineering on Google Cloud

Take the first step toward becoming a data engineer with Google Cloud and edX — build key skills, deepen your understanding of the role, learn how to solve challenges, and plan your next move.

• edX
• 16 hours
• Self-Paced
• Free Online Course (Audit)