Industrial Engineering Courses

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

Ethics in GenAI for Software Engineering Training

Explore ethical frameworks and legal considerations for responsible GenAI use in software development, covering bias mitigation and compliance strategies.

• Coursera
• 3 hours 55 minutes
• Self-Paced
• Paid Course

Starweaver

GenAI Data Engineering and RAG Systems

Master advanced data engineering techniques to build enterprise-grade RAG systems that transform raw data into intelligent, context-aware AI applications with vector databases.

• Coursera
• 6 hours 49 minutes
• Self-Paced
• Paid Course

Starweaver

GenAI Foundations and Prompt Engineering

Master GenAI architecture and advanced prompt engineering to build scalable AI applications, chatbots, and multi-step workflows that deliver consistent, high-quality results.

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

Starweaver

GenAI Model Development and Production Engineering

Master advanced fine-tuning techniques like LoRA, architect bulletproof deployment infrastructure, and build production GenAI systems that scale reliably to millions of users.

• Coursera
• 10 hours 38 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

AI Prompt Engineering Fundamentals

ChatGPT Beginner Course in LLM Engineering. Master the Prompting Techniques to Build and Direct Powerful Agentic AI

• edX
• 1 week, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Feature Engineering en Français

Apprenez à améliorer la précision des modèles ML avec Vertex AI Feature Store, BigQuery ML, Keras et TensorFlow. Explorez l'ingénierie des caractéristiques et le prétraitement des données.

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

Credential

IBM DevOps and Software Engineering

Comprehensive program covering DevOps practices, tools, and technologies. Develop skills in Agile, Python, Linux, cloud computing, containerization, microservices, CI/CD, and application security for an entry-level software engineering role.

• Coursera
• 13 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 13 courses

Credential

IBM Data Engineering

Master Python, SQL, databases, and data engineering skills for in-demand careers. Gain hands-on experience with ETL, data warehousing, NoSQL, big data, and Spark through projects and labs. Earn a professional certificate from IBM.

• Coursera
• 65 weeks, 4 hours a week
• Self-Paced
• Paid Course
• 13 courses

Credential

Data Engineering

Comprehensive program covering data engineering fundamentals, databases, SQL, Python, ETL, data pipelines, big data tools, and hands-on projects for practical skills development and career readiness.

• edX
• 57 weeks, 3-4 hours/week
• Self-Paced
• $1,196.00
• 10 courses

Credential

Data Engineering Fundamentals

Comprehensive introduction to data engineering, covering Python, SQL, databases, and data management. Hands-on labs provide practical skills for aspiring data engineers.

• edX
• 17 weeks, 4-6 hours/week
• Self-Paced
• $524.00
• 2 courses

Credential

Machine Learning Engineering for Production (MLOps)

Develop production-ready ML systems: conceptualize, build, and maintain integrated solutions that handle evolving data, operate continuously, and balance cost with performance for real-world AI applications.

• Coursera
• 17 weeks, 6 hours a week
• Self-Paced
• Paid Course
• 4 courses

Credential

IBM Applied DevOps Engineering

Master DevOps practices, tools, and technologies for Agile development. Learn cloud-native skills like containers, microservices, CI/CD, and application security. Build a project portfolio and gain job-ready experience.

• Coursera
• 13 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 8 courses

Feature Engineering - 한국어

Vertex AI Feature Store에 관해 알고 싶으신가요? ML 모델의 정확성을 개선할 방법을 알고 싶으신가요? 어떤 데이터 열에서 가장 유용한 특성이 나오는지 파악하려면 어떻게 해야 할까요? 특성 추출 과정에서는 좋은 특성과 나쁜 특성을 살펴보고 모델에서 이러한 특성을 적절하게 활용할 수 있도록 사전 처리하고 변환하는 방법을 알아봅니다. 이 과정은 BigQuery ML, Keras, TensorFlow를 사용한 특성 추출에 관한 콘텐츠와 실…

• Coursera
• 8 hours 30 minutes
• Self-Paced
• Paid Course