Industrial Engineering Courses

Edureka

Introduction to Analytics Engineering

Discover analytics engineering fundamentals, dimensional modeling, ELT pipelines, and hands-on dbt Core development for modern data systems and scalable analytics workflows.

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

Packt Credential

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

AI Engineering and Deployment

Master TensorFlow, CNNs, RNNs, and AI agent frameworks like AutoGPT to build, deploy, and scale ML models with ethical considerations for real-world applications.

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

Edureka Credential

Agentic AI Engineering

Master building intelligent AI agents using LangChain, LangGraph, and MCP frameworks to create multi-step workflows, stateful systems, and complex agent architectures.

• Coursera
• 12 weeks, 6 hours/week
• Self-Paced
• Paid Course
• 4 courses

KodeKloud

Data Engineering Essentials

Master MLOps-ready data engineering with Kafka, Spark, and Airflow to build scalable, automated pipelines that bridge raw data to production AI systems.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

Coursera Credential

LLM Engineering That Works: Prompting, Tuning, and Retrieval

Master production-grade LLM systems through hands-on engineering, from prompt design to deployment, evaluation, and ethical AI practices for scalable applications.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

Pragmatic AI Labs

Data Engineering with Delta Lake on Databricks

Master production-ready data pipelines using Delta Live Tables and Medallion Architecture on Databricks through hands-on labs and a complete inventory management capstone project.

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

Pragmatic AI Labs Credential

Enterprise AI and Data Engineering with Databricks

Master enterprise AI and data engineering on Databricks through hands-on lakehouse architecture, Delta Lake pipelines, MLflow tracking, generative AI with LLMs, and production MLOps governance.

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

Packt

Data Engineering with Scala and Spark

Master building scalable data pipelines with Scala and Spark, covering streaming/batch processing, performance tuning, testing, CI/CD, and cloud deployment for data engineers.

• Coursera
• 17 hours 56 minutes
• Self-Paced
• Paid Course

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