AI+ Manufacturing Practitioner™ - eLearning (exam included)
275,00 EUR
- 16 hours
The AI+ Manufacturing Practitioner™ certification equips manufacturing professionals with practical skills to apply AI across production, maintenance, quality, supply chain, and plant operations. Learn how to reduce downtime, optimize processes, improve quality, and turn industrial data into actionable insights. Explore predictive maintenance, computer vision, manufacturing analytics, AI system integration, automation, responsible AI, and ROI measurement through real-world use cases, case studies, and hands-on exercises. Whether you're focused on production, maintenance, quality, operations, or digital transformation, this certification helps you build the skills to drive smarter, safer, and more efficient manufacturing operations.
What Is Included?
Language
Course and material in English
Level
Intermediate level (Category: AI+ Professional)
Access
1 year access to the platform 24/7
8 hours of video lessons & multimedia resources
16 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Tools You’ll Explore
Tableau, Qlik Sense, Lucidchart, PTC ThingWorx, GE Digital Proficy, Rockwell, Automation FactoryTalk Analytics, Ignition by Inductive Automation, C3 AI, and more
Exam
Online Proctored Exam with One Free Retake included
Certificate
Certification of completion included
Master AI-Driven Manufacturing Excellence for Smarter, Safer, and More Efficient Operations
Apply AI across production, maintenance, quality, supply chain, and plant operations.
What Skills Will You Gain?
At the end of this course, you will be able to:
Learn
Learn AI basics, manufacturing applications, human–AI collaboration, and practical industry use cases.
Explore
Explore computer vision, predictive maintenance, production planning, analytics, and intelligent automation.
Understand
Understand data quality, readiness challenges, key data types, and KPI dashboard development.
Determine
Learn AI deployment models, system architecture, integration approaches, and industrial AI mapping.
Identify
Identify high-value use cases, develop pilots, measure results, and build scalable AI adoption plans.
Apply
Apply principles of data governance, cybersecurity, operational safety, human oversight, and AI risk management.
Evaluate
Learn to evaluate AI initiatives, measure ROI, track KPIs, and identify operational improvements.
Generate
Explore digital twins, generative AI, intelligent monitoring, emerging technologies, and AI roadmaps.
Solve
Solve a real-world manufacturing challenge by selecting an AI use case, developing an implementation roadmap, and demonstrating business value.
What Will You Learn?
AI in Manufacturing — Context & Opportunities
Lesson 1
- AI Fundamentals for Manufacturing
- AI Applications Across Plant Operations
- Human & Business Factors in AI Adoption
- Practical Use Cases
- Industry Case Studies
- Hands-On Activity
Core AI Applications in Manufacturing
Lesson 2
- Computer Vision for Manufacturing
- AI for Maintenance & Reliability
- Operational AI Applications
- AI for Planning & Automation
- Practical Use Cases
- Industry Case Studies
- Hands-On Exercise
Manufacturing Data & AI Readiness
Lesson 3
- Types of Manufacturing Data
- Data Readiness & Quality Requirements
- Common Data Readiness Challenges
- Practical Use Cases
- Industry Case Studies
- Hands-On Exercise: Create a Manufacturing KPI Dashboard Using Looker Studio
AI Systems & Architecture in Manufacturing
Lesson 4
- Industrial AI Deployment Approaches
- AI System Architecture & Components
- Solution Integration & Evaluation
- Practical Use Cases
- Industry Case Studies
- Hands-On Exercise: Map an AI System Architecture Using Miro or draw.io
AI Implementation in Manufacturing
Lesson 5
- Identifying & Prioritizing AI Opportunities
- AI Pilot & Proof-of-Concept Design
- Measuring & Scaling AI Impact
- Real-World Implementation Challenges
- Practical Use Cases
- Industry Case Studies
- Hands-On Exercise: Develop an AI Pilot & Implementation Roadmap Using Miro
Responsible AI, Safety & Security
Lesson 6
- Responsible AI in Industrial Operations
- AI Governance & Data Responsibility
- Security & Operational Safety Risks
- Human Oversight & Escalation
- Practical Use Cases
- Industry Case Studies
- Hands-On Exercise: Build an AI Risk & Governance Checklist Using Google Sheets
AI Success, Failure & ROI
Lesson 7
- Common AI Project Challenges & Failures
- Successful AI Adoption Strategies
- ROI Frameworks for Manufacturing AI
- Industry Benchmarking & Comparison
- Practical Use Cases
- Industry Case Studies
- Hands-On Exercise: Estimate AI ROI & Track Business Benefits
Future Trends in Manufacturing AI
Lesson 8
- Emerging AI Trends in Manufacturing
- Digital Twins & Intelligent Monitoring
- Generative AI Applications
- Future AI Adoption Trends
- Practical Use Cases
- Industry Case Studies
- Hands-On Activity: Create an AI Adoption Roadmap
Capstone Project
Lesson 8
- Problem Definition & Scope
- AI Use-Case Selection & Readiness Assessment
- Solution Evaluation & Roadmap Development
- Business Value & Communication
- Capstone Project Tracks
Who Should Enroll in this Program?
Manufacturing Professionals
Plant Managers & Leaders
Production & Process Engineers
Maintenance & Reliability Professionals
Quality & Inspection Teams
Business Analysts & Data Professionals
Automation, IT & OT Professionals
Transformation & Innovation Leaders
AI & Smart Manufacturing Enthusiasts
More Details
Prerequisites
- Manufacturing Knowledge: Basic understanding of manufacturing processes and operations.
- AI & Automation Awareness: Familiarity with AI, machine learning, and industrial automation concepts.
- Data Literacy: Ability to understand operational data, dashboards, KPIs, and performance trends.
- Industrial Technology Familiarity: Basic awareness of MES, SCADA, ERP, sensors, and connected systems.
- Business Analysis Skills: Fundamental understanding of business analysis and decision-making.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
Need a Custom In-company or Group Training?
Request for in-company training program tailored specifically to your team. We offer flexible customization options to align with your business goals, alongside competitive group rates for larger teams. Fill out the form below, and our corporate training experts will design the perfect solution for you.