Lean Six Sigma Green Belt
The Six Sigma Green Belt Training Course provides in-depth knowledge of Lean Six Sigma tools, statistical analysis, and process optimization techniques. Learners will gain expertise in process mapping, root cause analysis, control charts, hypothesis testing, and Failure Mode and Effects Analysis (FMEA). This course also covers Lean methodologies, helping professionals eliminate waste, reduce variation, and improve overall business performance.
By completing this training, participants will be prepared to lead Six Sigma projects, support Black Belt professionals, and apply Six Sigma principles in real-world scenarios.
Why Choose Our Six Sigma Green Belt Training?
- Industry-Recognized Certification – Get trained by certified Six Sigma experts.
- Hands-On Learning – Work with real-world case studies and Six Sigma tools.
- Covers Lean & Six Sigma Principles – Master DMAIC methodology and statistical techniques.
- Practical Application – Use Minitab, Excel, and Python for Six Sigma analysis.
- Flexible Learning Options – Choose between live instructor-led training, self-paced learning, and corporate training.
- Career Advancement – Enhance your problem-solving skills, leadership abilities, and process improvement expertise.
- Exam Preparation Support – Get access to practice tests, quizzes, and exam guidance.
Who Should Learn Six Sigma Green Belt Training?
- Quality Analysts & Process Improvement Specialists optimizing business processes.
- Operations & Manufacturing Professionals reducing defects and improving efficiency.
- Project Managers & Business Analysts leading Six Sigma projects.
- IT & Software Engineers applying Six Sigma in development and support.
- Healthcare & Service Industry Professionals enhancing service quality and patient care.
- Finance & Banking Professionals improving risk management and cost reduction.
- Anyone preparing for Six Sigma Green Belt Certification to boost their career.
What You Will Learn in Six Sigma Green Belt Training
Introduction to Six Sigma & Lean Principles
- What is Six Sigma & Why It’s Important?
- Lean vs. Six Sigma – Key Differences & Benefits
- Understanding Six Sigma Belts & Certifications
Six Sigma Green Belt Roles & Responsibilities
- How Green Belts Support Process Improvement
- Collaboration with Black Belts & Project Teams
- Project Selection & Data-Driven Decision Making
DMAIC Methodology – Step-by-Step Guide
- Define – Problem Identification, Project Charter, & SIPOC Diagrams
- Measure – Data Collection, Process Mapping, & Measurement System Analysis
- Analyze – Root Cause Analysis, Hypothesis Testing, & Statistical Process Control
- Improve – Implementing Solutions, Kaizen, & Lean Tools
- Control – Sustaining Improvements, Control Charts, & Process Standardization
Lean Six Sigma Tools & Techniques
- Pareto Analysis, Fishbone Diagrams, FMEA
- Regression Analysis, Control Charts, and Process Capability (Cp, Cpk)
- Using Minitab, Excel & Python for Data Analysis
Project Implementation & Six Sigma in Different Industries
- Manufacturing – Reducing Defects & Cycle Time Improvement
- Healthcare – Enhancing Patient Safety & Reducing Medical Errors
- IT & Software – Process Automation & Quality Assurance
- Finance – Fraud Prevention & Cost Optimization
Exam Preparation & Certification Guidance
- Practice Tests, Quizzes & Real-World Case Studies
- Exam Strategies & Mock Tests
- How to Pass the Six Sigma Green Belt Certification Exam?
Course Curriculum
Module 1: Introduction- Concepts and Technologies behind Internet of Things (IoT)
- Concepts & Definitions
- Myth with IoT
- Business with IoT
- Carrier in IoT
- IoT Applications
- IoT system overview
- Node, Gateway, Clouds
- Why IoT is essential
- Machine learning
- Artificial Intelligence
Module 2: IoT Architecture
- IoT Network Architecture
- IoT Device Architecture
- IoT Device Architecture
- Publish-Subscribe architecture
Module 3: IoT Device Design
- Sensors – Classification & selection criteria based on the nature, frequency and amplitude of the signal
- Embedded Development Boards – Arduino, Raspberry Pi, Intel Galileo, ESP8266
Module 4: IoT Communication Protocols
- Wired Communication Protocols
- Wireless Communication Protocols
- Application Protocols – MQTT, CoAP, HTTP, AMQP
- Transport layer protocols – TCP vs UDP
- IP- IPv4 vs IPv6
Module 5: Cloud
- Concept & Architecture of Cloud
- Public cloud vs Private cloud
- Different Services in cloud (IAAS / PAAS / SAAS)
- Importance of Cloud Computing in IOT
- Leveraging different Cloud platforms.
Module 6: Designing the IoT product
- Interfacing peripherals & Programming GPIOs – Input/output peripherals, Sensor modules
- Design Considerations – Cost, Performance & Power Consumption tradeoffs
Module 7: Programming
- Embedded C
- Python
- Arduino
Module 8: Hands-on using Raspberry Pi board
- Setting up board
- Booting up Raspberry Pi
- Running python on Raspberry Pi, GPIO programming
- Interfacing sensors and LED (Input and output devices)
- Making a few projects
- Sending data to cloud 2 using Raspberry Pi board
- Sending data to cloud 3 using Raspberry Pi board
- Making raspberry Pi web server
- Making raspberry PI TCP client and server
- Making raspberry Pi UDP client and server
Module 9: Use cases
- A cloud-based temperature monitoring system using Arduino and Node MCU
- Esp8266 WIFI controlled Home automation
- Obstacle detection using IR sensor and Arduino
- Remote controlling with Node MCU
- Temperature monitoring using a Raspberry Pi as local server
- Raspberry Pi controlling Esp8266 using MQTT
- weather monitoring system using Raspberry Pi and Microsoft Azure cloud
Module 10: Closer
- Existing Product in Market
- Barrier in IoT