Why enroll for AI for Computational Design and Manufacturing?
By 2032, the size of the global generative AI manufacturing market is expected to exceed USD 6,963.45 million
Over 80% of executives in the business and consumer space expect their businesses to use AI automation by 2025
According to Deloitte, 93% of manufacturing companies see AI as a crucial technology for driving growth and innovation
Artificial Intelligence in Manufacturing Training Benefits
As per a recent report by Bloomberg, the market for generative AI is expected to reach $1.3 trillion by 2032, and the World Economic Forum's "The Future of Jobs Report 2020" projects that AI will displace 85 million jobs worldwide by 2025. This course equips learners with the skills needed to leverage AI effectively, including data analysis, predictive modeling, optimization, and ethical AI use, empowering them to drive innovation and efficiency in manufacturing operations. By acquiring in-demand skills and staying abreast of industry trends, learners can future-proof their expertise and contribute to the transformative journey of AI in manufacturing.
Annual Salary
Hiring Companies
Want to become a Manufacturing Manager?
Annual Salary
Hiring Companies
Want to become a Manufacturing Manager?
Annual Salary
Hiring Companies
Want to become a Manufacturing Manager?
Why AI for Computational Design and Manufacturing from edureka
Live Interactive Learning
World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing
Lifetime Access
Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content
24x7 Support
One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time
Hands-On Project Based Learning
Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments
Industry Recognised Certification
Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion
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About your AI for Computational Design and Manufacturing
Artificial Intelligence (AI) in Manufacturing Skills Covered
Leveraging Generative AI
Data analysis and Interpretation
Data Visualization
Predictive Analysis
Root Cause Analysis
Decision Making
Artificial Intelligence (AI) in Manufacturing Tools Covered
Artificial Intelligence (AI) in Manufacturing Course Curriculum
Curriculum Designed by Experts
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Leveraging Generative AI in Manufacturing
10 Topics
Topics:
Introduction to AI in Manufacturing
Understanding Generative AI Fundamentals
Key Concepts in Generative AI
Exploring Generative AI Applications in Manufacturing
Benefits and Challenges of Generative AI in Manufacturing
Real-world Examples of Generative AI in Manufacturing
Introduction to Industry 4.0 and AI Integration
Importance of Data Infrastructure for AI in Manufacturing
Considerations for Ethical and Responsible AI Use in Manufacturing
Future Trends and Opportunities in Generative AI for Manufacturing
Hands-On:
Data-driven decision-making in Industry 4.0.
Skills
Understanding AI fundamentals
Knowledge of Generative AI
Exploring Generative AI applications
Industry 4.0 and AI integration
Importance of data infrastructure for AI in manufacturing
Considerations for ethical and responsible AI use
Advanced Manufacturing with Artificial Intelligence (AI)
19 Topics
Topics:
Develop a strategic plan
Identify opportunities for process improvement
Quality assurance and testing
Product development
More accurate demand forecasting
Hyper-personalized manufacturing
Optimizing manufacturing processes
AI-driven Inspection Systems
Information Architecture for AI in Manufacturing
Generative AI for Product Design
AI for Supply Chain Optimization
AI for Predictive Maintenance
AI-enabled Robotics in Manufacturing
AI for Energy Management
AI-driven Predictive Analytics
Production Planning with AI
AI-driven Customer Engagement
Adaptive Manufacturing with AI
AI-driven Simulation for Optimization
Hands-On:
AI-driven Process Optimization in Manufacturing
Implementing Predictive Maintenance System
Production Planning and Scheduling Optimization
Skills
Data analysis
Optimization
AI integration
Problem-solving
Ethical and responsible AI use
Impact of AI in Manufacturing Unleashing Productivity
13 Topics
Topics:
Enhanced Product Inspection and Quality Assurance
Augmented Human Capabilities in Manufacturing
AI as a Competitive Advantage in Manufacturing
Waste Identification and Elimination through AI
Innovating Recycling and Material Reuse with AI
Real-time Monitoring and Control in Manufacturing
AI Adoption for Inventory Management and Forecasting
Human-AI Collaboration for Productivity
Addressing Cybersecurity Risks in AI Manufacturing
AI-driven Adaptive Manufacturing and Customization
Ethical Considerations in AI for Manufacturing
AI's Impact on Manufacturing Workforce
Successful AI Implementations in Manufacturing
Hands-On:
AI-driven Quality Assurance System
AI-driven Material Reuse and Recycling Optimization
Skills
Data analysis and Interpretation
Ethical considerations
Innovation
Sustainability mindset
Adaptability
Utilizing AI for KPI Monitoring and Data Analysis in Manufacturing
15 Topics
Topics:
Optimizing production processes
Transforming data analysis with AI/ML
Effective quality control with AI/ML
Enhancing business performance with AI/ML
Predictive analytics for KPI monitoring
Real-time data monitoring and visualization
Anomaly detection and root cause analysis
Predictive maintenance for improved equipment reliability
Customer satisfaction analysis and improvement strategies
Adaptive manufacturing strategies based on data insights
AI-enabled decision support systems for KPI optimization
Automated reporting and dashboard development for KPI tracking
Continuous improvement initiatives guided by AI-driven insights
Risk assessment and mitigation using AI/ML techniques
Utilization of AI/ML in KPI monitoring and data analysis.
Hands-On:
Predictive KPI Analysis for Performance Optimization
AI-Driven Root Cause Analysis for KPI Improvement
Skills
Data analysis and Interpretation
Predictive Analysis
Root Cause Analysis
Decision Making
Free Career Counselling
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Artificial Intelligence (AI) in Manufacturing Course Details
About AI in Manufacturing Course
The Artificial Intelligence (AI) in Manufacturing course offers a comprehensive exploration of how AI technologies are transforming the manufacturing industry. Learners start with AI basics before delving into more complex topics like Industry 4.0 integration, and the value of data infrastructure. Practical insights into AI applications in manufacturing are offered by real-world examples, case studies, and interactive projects. These topics include supply chain management, process optimization, quality control, and predictive maintenance. The course gives learners the tools they need to use AI effectively, such as data analysis, optimization, predictive modeling, and moral AI application, enabling them to spur efficiency and innovation in manufacturing processes.
Why take up this Artificial Intelligence in Manufacturing Course?
Enrolling in the Artificial Intelligence (AI) in Manufacturing Course presents a strategic opportunity to stay ahead in the dynamic manufacturing landscape. By mastering AI fundamentals and their applications in manufacturing, participants can drive innovation, optimize processes, and elevate their careers. With hands-on projects and real-world case studies, the course equips learners to tackle industry challenges and meet the growing demand for AI-driven solutions. By acquiring in-demand skills and staying abreast of industry trends, learners can future-proof their expertise and contribute to the transformative journey of AI in manufacturing.
Who should take up this Artificial Intelligence in Manufacturing Course?
This course is tailored for:
Manufacturing Engineer
Integration Specialist
Manufacturing Optimization Analyst
Quality Assurance Engineer
Supply Chain Analyst
Maintenance Planner
What are the prerequisites for this AI in Manufacturing Course?
There are no prerequisites required for this Artificial Intelligence (AI) in Manufacturing course. However, it is beneficial to have:
Basic Python Programming Knowledge
Problem Solving Skills
What are the system requirements for this Artificial Intelligence in Manufacturing course?
The system requirements for a Artificial Intelligence (AI) in Manufacturing course include:
A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor to run NLP and machine learning models is required.
Stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
How will I execute the practicals in this AI in Manufacturing Course?
Practicals for this course will be implemented using Python, VS Code and Jupyter Notebook. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
Artificial Intelligence (AI) in Manufacturing Projects
AI-driven Material Reuse and Recycling Optimization
In manufacturing operations, there is a significant amount of waste generated from production processes, including unused materials and by-products. However, identifying opportun....
AI-Driven Root Cause Analysis for KPI Improvement
In manufacturing operations, fluctuations in key performance indicators (KPIs) such as production yield, quality metrics, and equipment downtime can impact operational efficiency....
Artificial Intelligence (AI) in Manufacturing Certification
To unlock the Edureka’s Artificial Intelligence (AI) in Manufacturing course completion certificate, you must ensure the following:
Completely participate in this Artificial Intelligence (AI) in Manufacturing Course.
Evaluation and completion of the quizzes and projects listed.
The Artificial Intelligence (AI) in Manufacturing Course Certification enhances the value of your credentials by confirming your expertise in this fast-developing area. It provides thorough instruction on how to use AI technologies to improve manufacturing processes' productivity, efficiency, and inventiveness. Participants learn about the principles of artificial intelligence (AI), applications of generative AI, and how 4.0 integrates with it. The certification adds value by ensuring professionals are well-equipped to navigate the changing landscape of artificial intelligence in manufacturing by teaching them how to use AI for data analysis, KPI monitoring, and continuous improvement initiatives.
This course is tailored for:
Manufacturing Engineer
Integration Specialist
Manufacturing Optimization Analyst
Quality Assurance Engineer
Supply Chain Analyst
Maintenance Planner
John Doe
Title
with Grade X
XYZ123431st Jul 2024
The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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Artificial Intelligence in Manufacturing Course FAQs
What is the importance of AI in the manufacturing industry?
The importance of AI in the manufacturing industry lies in its ability to optimize processes, improve efficiency, reduce costs, and drive innovation. AI enables predictive analytics, automation, and intelligent decision-making, leading to enhanced competitiveness and agility in a rapidly evolving market.
How can AI improve efficiency and productivity in manufacturing processes?
AI can improve efficiency and productivity in manufacturing processes by automating repetitive tasks, optimizing resource allocation, predicting maintenance needs, and enabling real-time monitoring and control of operations. This results in reduced downtime, improved throughput, and higher overall output quality.
Will I get placement assistance after completing this AI in Manufacturing Course?
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
Who are the instructors for Artificial Intelligence AI in Manufacturing?
All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.
What if I have more queries after completion of AI in Manufacturing ?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co.
What if I miss a class of Artificial Intelligence in Manufacturing ?
You will never miss a lecture at Edureka! You can choose either of the two options:
View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.
What AI is used in manufacturing?
AI in manufacturing uses machine learning and deep neural networks for better data analysis and decision-making
What is the scope of AI in manufacturing?
AI plays a vital role in improving productivity, efficiency, and decision-making processes in the manufacturing industry.
Is AI the future of manufacturing?
Artificial Intelligence (AI) has become a popular technology for various industries, including manufacturing. It is becoming an essential tool in the manufacturing sector because it helps optimize processes and increase efficiency.
What are the other Courses on Artificial Intelligence provided by Edureka?