Industrial AI & Cloud Engineering for Process Industries
Industrial AI & Cloud Engineering for Process Industries
- 7-day money-back guarantee
- Session recordings included
- Certificate of completion
Why enroll
Enrolling in this course gives you the rare, high-demand skill set needed to lead the digital transformation of asset-heavy industries. You will move past theoretical data science and learn how to deploy production-ready AI and cloud architectures directly into complex plant environments like refineries, power plants, and chemical facilities. By mastering predictive maintenance, process optimization, and edge-to-cloud security, you will position yourself as an invaluable technical leader capable of reducing costly operational downtime, maximizing energy efficiency, and driving measurable financial returns for your organization.
Your instructor
Bhushan Garde
Consultant
India
Is this course for you?
You should take this if
- You work in Oil & Gas Upstream or Oil & Gas Downstream
- You're a Mechanical Engineering / Petroleum Technology professional
- You have 3+ years of hands-on experience in this field
- You want to build skills in Artificial Intelligent, Artificial Intelligence
You should skip if
- You're new to this field with no prior experience
- You need a different specialisation outside Mechanical Engineering
- You need fully self-paced, on-demand content
Course details
The Industrial AI & Cloud Engineering for Process Industries course bridges the gap between traditional heavy industry operations and cutting-edge digital transformation. Designed for engineers, operators, and technical leaders in power plants, oil and gas, chemical processing, and petroleum refineries, this program delivers the practical skills needed to deploy artificial intelligence and cloud architectures in complex asset-heavy environments. Participants will master how to transform massive streams of raw industrial sensor data into actionable insights, moving from legacy on-premise systems to scalable, secure hybrid cloud infrastructures.
Throughout the curriculum, learners will focus on high-value industrial use cases including predictive maintenance models that prevent catastrophic equipment failures, machine learning pipelines for real-time process optimization, and cloud-native solutions for edge-to-cloud telemetry. The training prioritizes the unique safety, reliability, and cybersecurity constraints inherent to critical infrastructure, ensuring all AI and cloud deployments comply with strict industry standards. By completing this certification, professionals will gain the dual expertise required to minimize operational downtime, maximize energy efficiency, and lead the next wave of industrial automation within their organizations.
Course suitable for
Oil & Gas Upstream Oil & Gas Downstream Mechanical Engineering Petroleum Technology Power Plant Engineering Artificial Intelligent Artificial Intelligence
Key topics covered
Module 1: Python Programming for Industrial Engineers
Introduction to Python
Python Installation & Environment Setup
Jupyter Notebook
Variables and Data Types
Operators and Expressions
Conditional Statements
Loops and Iterations
Functions and Modules
File Handling
Exception Handling
CSV and Excel Automation
Industrial Data Processing
Module 2: Data Analytics for Process Industries
Introduction to Industrial Data Analytics
Data Collection and Data Sources
NumPy Fundamentals
Pandas Fundamentals
Data Cleaning Techniques
Missing Data Handling
Data Transformation
Statistical Analysis
Time Series Data Analysis
Process Performance Analysis
Production Data Analytics
Process KPI Monitoring
Module 3: Data Visualization & Dashboard Development
Matplotlib
Plotly
Interactive Visualization
KPI Dashboard Development
Power BI Fundamentals
Industrial Reporting Systems
Plant Performance Dashboards
Production Monitoring Dashboards
Energy Consumption Dashboards
Reliability Dashboards
Module 4: Artificial Intelligence & Machine Learning Fundamentals
Introduction to Artificial Intelligence
Introduction to Machine Learning
Industrial Applications of AI
Data Preprocessing
Feature Engineering
Model Training Concepts
Model Evaluation Methods
Regression Models
Classification Models
Clustering Techniques
Decision Trees
Random Forest Models
Industrial Use Cases
Module 5: Predictive Maintenance & Asset Reliability
Predictive Maintenance Fundamentals
Condition-Based Monitoring
Asset Health Monitoring
Equipment Failure Prediction
Remaining Useful Life (RUL)
Vibration Data Analytics
Temperature Monitoring Analytics
Rotating Equipment Monitoring
Reliability Engineering Concepts
Root Cause Analysis Using AI
Industry Applications
Boiler Tube Failure Prediction
Turbine Health Monitoring
Pump Failure Prediction
Compressor Failure Prediction
Heat Exchanger Fouling Prediction
Motor Failure Prediction
Valve Failure Prediction
Pipeline Integrity Monitoring
Module 6: Deep Learning & Industrial Forecasting
Introduction to Deep Learning
Artificial Neural Networks
TensorFlow Fundamentals
Keras Framework
Time Series Forecasting
Load Forecasting
Demand Forecasting
Production Forecasting
Utility Consumption Forecasting
Energy Forecasting
Anomaly Detection
Process Optimization Using AI
Module 7: Cloud Computing for Industrial Applications
Cloud Computing Fundamentals
IaaS, PaaS and SaaS
Virtual Machines
Cloud Storage
Cloud Databases
AWS Fundamentals
Microsoft Azure Fundamentals
Industrial Data Lakes
Cloud-Based Analytics
Cloud Security Fundamentals
Cloud Cost Optimization
Cloud-Based Monitoring Systems
Module 8: Industrial IoT (IIoT), Industry 4.0 & Digitalization
Industry 4.0 Concepts
Industrial IoT Architecture
Sensors and Instrumentation
Smart Manufacturing Concepts
SCADA Fundamentals
DCS Data Integration
OPC Communication
MQTT Protocol
Real-Time Data Acquisition
Edge Computing
Industrial Cybersecurity
Digital Transformation Strategies
Module 9: AI Applications in Process Industries
Power Plants
Boiler Performance Optimization
Turbine Efficiency Monitoring
Heat Rate Optimization
Energy Management Analytics
Auxiliary Power Optimization
Oil & Gas
Production Optimization
Artificial Lift Analytics
Pipeline Monitoring
Compressor Performance Analytics
Leak Detection Systems
Chemical Industries
Process Optimization
Batch Process Analytics
Yield Improvement Analytics
Utility Consumption Optimization
Process Safety Monitoring
Petroleum Refineries
Crude Distillation Optimization
Furnace Performance Monitoring
Energy Efficiency Analytics
Refinery Asset Reliability
Predictive Maintenance Applications
Module 10: Capstone Industry Project
Industrial Data Collection
Data Cleaning and Validation
Dashboard Development
Machine Learning Model Development
Predictive Maintenance System
Cloud Deployment
Industrial KPI Monitoring
Final Project Presentation
Technical Documentation
Industry Evaluation
Bonus Module: Generative AI for Engineers
ChatGPT for Engineers
AI-Based Technical Report Writing
AI-Based SOP Development
AI-Based Root Cause Analysis
AI-Based Maintenance Planning
AI-Based Process Optimization
AI-Based Technical Documentation
Bonus Module: Digital Twin Technology
Digital Twin Fundamentals
Equipment Digital Twins
Process Digital Twins
Plant Digital Twins
Digital Twin Architecture
Industrial Digitalization Roadmap
Career Development & Placement Preparation
LinkedIn Optimization
Industrial AI Resume Development
Machine Learning Interview Preparation
Industrial Analytics Interview Preparation
Capstone Project Portfolio Development
Freelancing & Consulting Opportunities
Industrial Digital Transformation Career Roadmap
Opportunities that await you!
Skills & tools you'll gain
Career opportunities
Training details
This is a live course that has a scheduled start date.
