+254 721 331 808    training@upskilldevelopment.com

Advanced SMT Process Engineering Training Course

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Course Duration 10 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 1,740USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
14/09/2026 to 25/09/2026 Nairobi 2,900 USD Register
14/09/2026 to 25/09/2026 Mombasa 3,400 USD Register
12/10/2026 to 23/10/2026 Nairobi 2,900 USD Register
09/11/2026 to 20/11/2026 Nairobi 2,900 USD Register
09/11/2026 to 20/11/2026 Mombasa 3,400 USD Register
07/12/2026 to 18/12/2026 Nairobi 2,900 USD Register
14/12/2026 to 25/12/2026 Mombasa 3,400 USD Register

Course Introduction

Advanced SMT Process Engineering Training Course provides an advanced and industry-focused learning experience designed to equip engineers, manufacturing professionals, production specialists, quality engineers, and process improvement teams with the expertise required to optimize Surface Mount Technology (SMT) manufacturing processes. The program focuses on SMT process development, stencil printing, solder paste management, component placement, reflow soldering, automated inspection, process optimization, defect prevention, and emerging smart manufacturing technologies that improve product quality, manufacturing efficiency, and production reliability.

This course explores the complete Surface Mount Technology manufacturing ecosystem, including PCB preparation, solder paste printing, pick-and-place programming, component handling, reflow profile development, automated optical inspection, X-ray inspection, in-circuit testing, process capability analysis, and quality assurance systems. Participants will gain a comprehensive understanding of how optimized SMT processes improve production yield, reduce manufacturing defects, minimize costs, increase throughput, and support the production of highly reliable electronic assemblies.

The training focuses on advanced SMT engineering methodologies involving Design for Manufacturing (DFM), Design for Assembly (DFA), Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA), process capability studies, root cause analysis, lean manufacturing, and Six Sigma improvement strategies. Learners will understand how equipment capability, material selection, environmental conditions, process parameters, operator competency, and production controls influence solder joint quality, assembly reliability, and manufacturing consistency.

Advanced SMT Process Engineering Training Course addresses emerging technology challenges such as miniaturized electronic packaging, fine-pitch components, Ball Grid Array (BGA) assembly, Chip Scale Package (CSP) technologies, 3D inspection, artificial intelligence-driven process optimization, collaborative robotics, Industry 4.0, Industrial Internet of Things (IIoT), digital twins, and smart factory automation. Participants will explore innovative SMT manufacturing solutions supporting automotive electronics, aerospace, telecommunications, consumer electronics, medical devices, industrial automation, and semiconductor packaging industries.

Through practical engineering examples, industrial case studies, and real-world SMT production scenarios, participants will develop the ability to optimize manufacturing processes, troubleshoot assembly defects, improve production yield, implement quality improvements, validate process changes, and enhance operational performance. The course emphasizes practical engineering methodologies that strengthen manufacturing capability, improve product reliability, reduce process variability, and support continuous operational excellence.

By completing this program, professionals will gain advanced capabilities in SMT process engineering and electronics manufacturing optimization. The course prepares engineers to develop highly efficient, intelligent, and reliable SMT production systems by integrating advanced manufacturing technologies, automation, process analytics, quality engineering, and continuous improvement methodologies that meet evolving global electronics manufacturing standards.

Duration

10 days

Who Should Attend

  • SMT process engineers responsible for production optimization.

  • Electronics manufacturing engineers working with PCB assembly processes.

  • Production engineers managing SMT manufacturing operations.

  • Quality assurance engineers supporting electronics manufacturing excellence.

  • Process improvement engineers implementing Lean and Six Sigma initiatives.

  • PCB assembly engineers responsible for electronic product manufacturing.

  • Automation engineers supporting SMT production equipment.

  • Manufacturing supervisors overseeing SMT production lines.

  • Test and validation engineers responsible for electronic assembly quality.

  • Industrial engineers improving manufacturing productivity and efficiency.

  • Research and development engineers transitioning products into production.

  • Engineering graduates seeking advanced expertise in SMT process engineering.

Course Objectives

  • Develop advanced understanding of Surface Mount Technology process engineering principles, manufacturing workflows, and production optimization methodologies.

  • Enable participants to optimize SMT production processes that improve assembly quality, manufacturing efficiency, and production consistency.

  • Provide practical knowledge of stencil printing, solder paste management, component placement, and reflow soldering optimization techniques.

  • Explain process capability analysis, Statistical Process Control, and quality engineering methods for electronics manufacturing.

  • Develop expertise in identifying, analyzing, and eliminating SMT manufacturing defects using structured engineering methodologies.

  • Teach Design for Manufacturing and Design for Assembly principles that improve product manufacturability and production performance.

  • Build knowledge of automated inspection systems, electronic testing, and quality validation techniques used in SMT production.

  • Introduce Industry 4.0 technologies including artificial intelligence, IIoT, robotics, and smart factory solutions for SMT manufacturing.

  • Provide understanding of advanced electronic packaging technologies including BGA, CSP, fine-pitch components, and high-density assemblies.

  • Enhance engineering capabilities for improving manufacturing yield, reducing process variation, and increasing production reliability.

  • Prepare professionals to address emerging manufacturing challenges including miniaturization, advanced packaging, digital manufacturing, and sustainable production.

  • Improve participants' ability to establish world-class SMT manufacturing processes that deliver superior product quality, operational efficiency, and long-term competitiveness.

Comprehensive Course Outline

Module 1: Fundamentals of Surface Mount Technology Process Engineering

  • Understanding Surface Mount Technology principles, production workflows, and manufacturing requirements.

  • Exploring SMT process stages from PCB preparation to final inspection.

  • Analyzing manufacturing standards supporting reliable electronic assemblies.

  • Examining emerging trends transforming SMT process engineering.

Module 2: PCB Design and Design for Manufacturing

  • Understanding PCB design considerations affecting SMT manufacturability.

  • Exploring Design for Manufacturing and Design for Assembly optimization methods.

  • Analyzing component layout strategies for reliable assembly processes.

  • Studying advanced PCB manufacturability improvement techniques.

Module 3: Solder Paste Printing Process Optimization

  • Understanding stencil design, solder paste properties, and printing methodologies.

  • Exploring printing parameter optimization for consistent solder deposition.

  • Analyzing common printing defects and corrective engineering actions.

  • Studying advanced solder paste inspection and quality control techniques.

Module 4: Component Placement Technologies

  • Understanding automated pick-and-place equipment and programming methodologies.

  • Exploring component handling techniques for high-speed production environments.

  • Analyzing placement accuracy and equipment performance optimization.

  • Studying advanced placement technologies for miniaturized electronic assemblies.

Module 5: Reflow Soldering Process Engineering

  • Understanding thermal profiling and reflow soldering process optimization.

  • Exploring temperature control strategies for reliable solder joint formation.

  • Analyzing solder defects caused by improper thermal management.

  • Studying advanced reflow technologies for complex electronic assemblies.

Module 6: SMT Defect Analysis and Root Cause Investigation

  • Understanding structured methodologies for identifying SMT manufacturing defects.

  • Exploring root cause analysis techniques for recurring assembly failures.

  • Analyzing solder joint reliability and component placement defects.

  • Studying advanced corrective and preventive action implementation.

Module 7: Automated Optical Inspection and X-Ray Analysis

  • Understanding automated optical inspection technologies for SMT production.

  • Exploring X-ray inspection techniques for hidden solder joint evaluation.

  • Analyzing inspection data to improve manufacturing quality.

  • Studying advanced inspection systems supporting intelligent manufacturing.

Module 8: In-Circuit Testing and Functional Verification

  • Understanding in-circuit testing methodologies for electronic assemblies.

  • Exploring functional testing strategies for product validation.

  • Analyzing test coverage and manufacturing quality assurance techniques.

  • Studying advanced electronic testing technologies.

Module 9: Statistical Process Control and Process Capability

  • Understanding Statistical Process Control applications in SMT manufacturing.

  • Exploring process capability analysis for continuous quality improvement.

  • Analyzing manufacturing variation using statistical engineering tools.

  • Studying advanced process monitoring and optimization methodologies.

Module 10: Lean Manufacturing and Six Sigma for SMT

  • Understanding Lean Manufacturing principles supporting SMT production excellence.

  • Exploring Six Sigma methodologies for defect reduction and process improvement.

  • Analyzing value stream mapping and waste elimination strategies.

  • Studying advanced continuous improvement techniques for electronics manufacturing.

Module 11: Advanced Electronic Packaging Technologies

  • Understanding Ball Grid Array, Chip Scale Package, and fine-pitch assembly processes.

  • Exploring high-density interconnect technologies for modern electronics.

  • Analyzing manufacturing challenges associated with advanced packaging.

  • Studying next-generation electronic assembly techniques.

Module 12: Industry 4.0 and Smart SMT Manufacturing

  • Understanding Industry 4.0 technologies transforming SMT production environments.

  • Exploring Industrial Internet of Things connectivity for manufacturing optimization.

  • Analyzing artificial intelligence applications for predictive quality control.

  • Studying digital twins supporting intelligent production management.

Module 13: Robotics and Manufacturing Automation

  • Understanding robotic systems supporting SMT production processes.

  • Exploring collaborative robots for flexible electronics manufacturing.

  • Analyzing automated material handling and production line integration.

  • Studying advanced intelligent automation technologies.

Module 14: Equipment Reliability and Preventive Maintenance

  • Understanding maintenance strategies for SMT production equipment.

  • Exploring predictive maintenance using intelligent monitoring systems.

  • Analyzing equipment reliability and Overall Equipment Effectiveness improvement.

  • Studying advanced maintenance engineering practices.

Module 15: Emerging SMT Technologies and Future Manufacturing Trends

  • Exploring next-generation SMT equipment and advanced electronic assembly innovations.

  • Understanding sustainability, energy efficiency, and environmentally responsible manufacturing.

  • Analyzing future trends influencing global SMT manufacturing competitiveness.

  • Examining smart factory innovations supporting autonomous production systems.

Module 16: Advanced SMT Process Engineering Projects

  • Developing practical SMT process optimization projects using industrial engineering methodologies.

  • Implementing manufacturing improvements that enhance yield, quality, and productivity.

  • Evaluating SMT process performance using engineering metrics and statistical analysis.

  • Applying advanced SMT engineering knowledge to real industrial manufacturing applications.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.

Course Duration 10 Days

Online Training Registration

Training Mode Platform Fee Enroll
Online Training Zoom/ Google Meet 1,740USD Register

Classroom/On-site Training Schedule

Course Date Location Fee Enroll
14/09/2026 to 25/09/2026 Nairobi 2,900 USD Register
14/09/2026 to 25/09/2026 Mombasa 3,400 USD Register
12/10/2026 to 23/10/2026 Nairobi 2,900 USD Register
09/11/2026 to 20/11/2026 Nairobi 2,900 USD Register
09/11/2026 to 20/11/2026 Mombasa 3,400 USD Register
07/12/2026 to 18/12/2026 Nairobi 2,900 USD Register
14/12/2026 to 25/12/2026 Mombasa 3,400 USD Register

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