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AI for Computational Design and Manufacturing
AI for Computational Design and Manufacturing
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6488 Learners4.4 2600 Ratings
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Live Online Classes starting on 25th May 2024
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Instructor-led AI in Manufacturing live online Training Schedule
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Price 16,99915,299
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Why enroll for AI for Computational Design and Manufacturing?
Artificial Intelligence (AI) 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
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Annual Salary
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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
Artificial Intelligence (AI) in Manufacturing Tools Covered
Artificial Intelligence (AI) in Manufacturing Course Curriculum
Curriculum Designed by Experts
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
![skill]( "Hands On Experience")
- Data-driven decision-making in Industry 4.0.
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- AI-driven Process Optimization in Manufacturing
- Implementing Predictive Maintenance System
- Production Planning and Scheduling Optimization
![skill]( "skill you will learn")
- 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
![skill]( "Hands On Experience")
- AI-driven Quality Assurance System
- AI-driven Material Reuse and Recycling Optimization
![skill]( "skill you will learn")
- 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.
![skill]( "Hands On Experience")
- Predictive KPI Analysis for Performance Optimization
- AI-Driven Root Cause Analysis for KPI Improvement
![skill]( "skill you will learn")
- Data analysis and Interpretation
- Predictive Analysis
- Root Cause Analysis
- Decision Making
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Artificial Intelligence (AI) in Manufacturing Course Details
About Artificial Intelligence (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 (AI) 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 (AI) 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 Artificial Intelligence (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 (AI) 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 Artificial Intelligence (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
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Title
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Artificial Intelligence (AI) 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 Artificial Intelligence (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 Artificial Intelligence (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 (AI) 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.
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