Industrial Engineering Courses

Credential

Generative AI Engineering

Master generative AI engineering with hands-on training in LLMs, NLP, and Python. Develop applications using transformers, RAG, LangChain, and more while building practical skills through projects that showcase your expertise to employers.

• edX
• 50 weeks, 2-4 hours/week
• Self-Paced
• $1,004.00
• 15 courses

Pragmatic AI Labs Credential

Data Engineering Foundations

Master data engineering with Python, Rust, SQL, and tools like Pandas, FastAPI, and Kubernetes. Build pipelines, automate workflows, and optimize data systems through hands-on learning across Linux, containerization, and cloud platforms.

• edX
• 32 weeks, 3-6 hours/week
• Self-Paced
• $3,592.00
• 8 courses

Credential

Generative AI for Data Engineering

Gain insights into generative AI for data engineering, exploring models, prompt engineering techniques, and practical applications to enhance ETL pipelines and boost productivity in this IBM program.

• edX
• 10 weeks, 1-3 hours/week
• Self-Paced
• $147.00
• 2 courses

AI Prompt Engineering for the Government Workforce (Live Online)

Learn how to design effective AI prompts to improve government operations with this practical, beginner-friendly course.

• CourseHorse
• 4 hours
• Self-Paced
• $675.00

Cisco

Implementing MPLS Traffic Engineering

Master MPLS Traffic Engineering components, operations, and configuration on Cisco IOS platforms to optimize network performance through traffic tunnels and constraint-based routing.

• Coursera
• 15 hours 29 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

Packt

Prompt Engineering in Python, with GPT, and the OpenAI API

Master prompt engineering with Python and OpenAI API to build chatbots, extract data, and optimize GPT model performance through hands-on practice in iterative design, hallucination mitigation, and structured information extraction.

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

KodeKloud

Chaos Engineering

Master chaos engineering principles and hands-on AWS fault injection techniques to build resilient systems across EC2, Aurora, Fargate, EKS, and multiple availability zones.

• Coursera
• 5 hours 18 minutes
• Self-Paced
• Paid Course

Mastering Generative AI for Data Engineering

Gain insights into using generative AI for data engineering tasks, from architecture design to ETL workflows, with hands-on projects to enhance your skills and career prospects in this high-demand field.

• edX
• 4 weeks, 3-5 hours/week
• Self-Paced
• Free Online Course (Audit)

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

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

EDUCBA

XHTML Practical - Creating Website Engineering College

Master XHTML website development by building an engineering college portal with structured pages, CSS styling, navigation systems, and validation techniques.

• Coursera
• 5 hours 16 minutes
• Self-Paced
• Paid Course

UiPath

Agentic prompt engineering

Master agentic prompt engineering to effectively communicate with AI agents and LLMs for automation, decision-making, and intelligent task execution across various professional domains.

• Coursera
• 1 hour 10 minutes
• Self-Paced
• Paid Course

Einführung in Data Engineering in Google Cloud

Entdecken Sie Data Engineering auf Google Cloud: Rollen, Verantwortlichkeiten und Tools für Datenreplikation, Migration und Pipeline-Automatisierung mit BigQuery, Dataflow und mehr.

• Coursera
• 9 hours 4 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS: Feature Engineering Data Transformation & Integrity

Master data preparation and feature engineering for machine learning using AWS Glue, DataBrew, and EMR to build scalable ETL pipelines and ensure data integrity.

• Coursera
• 5 hours 51 minutes
• Self-Paced
• Paid Course