Autodesk Certified Expert in Generative Design for Manufacturing

BERKELEY SCHOOL OF BUSINESS, ARTS & SCIENCES

The Autodesk Certified Expert in Generative Design for Manufacturing certification validates advanced expertise in applying generative design workflows to create optimized, manufacturable, and high-performance product designs using Autodesk tools.

Overview

The Autodesk Certified Expert in Generative Design for Manufacturing certification demonstrates expert-level proficiency in leveraging generative design technology to solve complex manufacturing challenges. This credential validates the ability to define design constraints, materials, loads, and manufacturing methods, generate multiple optimized design outcomes, evaluate performance trade-offs, and prepare production-ready solutions. It is designed for professionals who integrate generative design into real-world engineering workflows to reduce material usage, improve strength-to-weight ratios, enhance sustainability, and accelerate innovation in advanced manufacturing environments.

Offered By

Autodesk, Inc.

 

Head office

San Francisco, California, United States

 

Members

Global Autodesk User and Professional Community (Millions+ worldwide)

 

What are the Objectives?
  • Validate expert-level skills in applying generative design workflows for manufacturing optimization.
  • Develop the ability to define design constraints, materials, loads, and manufacturing methods.
  • Enable creation of high-performance, lightweight, and production-ready design solutions.
  • Support innovation through AI-driven design exploration and optimization.
  • Improve sustainability by reducing material usage and waste.
  • Enhance professional credibility in advanced manufacturing and digital product development.

 

What is the eligibility?

This certification is intended for professionals with hands-on experience in generative design and advanced manufacturing workflows using Autodesk tools. It is recommended for mechanical engineers, product designers, manufacturing engineers, CAD/CAE professionals, and innovation specialists who have practical experience in defining design constraints, materials, loads, manufacturing methods, and evaluating generative design outcomes. Candidates should be familiar with optimization-driven design, performance analysis, and production-ready generative workflows.

 

Who can do?
anyone who is interested to learn about following concepts can pursue Autodesk Certified Expert in Generative Design for Manufacturing:
Generative Design Workflow Setup, Defining Design Constraints and Objectives, Material and Manufacturing Method Selection, Load Cases and Performance Criteria Setup, Design Optimization and Outcome Evaluation, Lightweight Structure and Topology Optimization, Production-Ready Generative Design Preparation, Sustainability-Driven Design Optimization.
individuals with the following designations:
Mechanical Engineers, Product Designers, Manufacturing Engineers, Industrial Designers, CAD/CAE Professionals, Design Optimization Specialists, R&D Engineers, Innovation Engineers.

Course Structure

Lecture 1: Instructional Methodology

The course is delivered through advanced instructional methods combining theoretical foundations with hands-on generative design workflows for manufacturing applications.
 

Lessons covering generative design principles

Guided practice exercises in Fusion

Challenge assignments for real-world design scenarios

Continuous assessments for performance tracking

Practice exam aligned with expert-level certification

Lecture 2: Generative Design Fundamentals

Understanding the core principles of generative design and its application in modern manufacturing workflows.
 

Introduction to generative design concepts

Design space definition

Constraints and objectives

Outcome generation and evaluation

Lecture 3: Design Setup and Inputs

Defining design conditions, constraints, loads, and materials for optimized generative outcomes.
 

Load cases and boundary conditions

Material selection and properties

Manufacturing constraints

Preserved and obstacle geometry

Lecture 4: Outcome Generation and Exploration

Generating multiple design solutions and evaluating them based on performance, cost, and manufacturability.
 

Generating design alternatives

Interpreting outcomes and performance metrics

Filtering and comparing results

Decision-making strategies

Lecture 5: Design Refinement

Refining and modifying generated designs to meet engineering and manufacturing requirements.
 

Geometry smoothing and editing

Converting to solid models

Performance optimization

Preparing for downstream processes

Lecture 6: Manufacturing Considerations

Applying manufacturing constraints and ensuring designs are suitable for production processes.
 

Additive manufacturing constraints

Subtractive manufacturing considerations

Material efficiency and cost optimization

Design for manufacturability

Lecture 7: Simulation and Validation

Validating generative designs using simulation tools to ensure performance and reliability.
 

Stress and load analysis

Performance validation

Iterative testing and refinement

Failure analysis

Lecture 8: Documentation and Collaboration

Preparing design outputs and collaborating across engineering and manufacturing teams.
 

Exporting design files

Creating technical documentation

Design communication workflows

Data management and version control

Lecture 9: Final Certification Exam

A proctored expert-level certification exam assessing advanced generative design knowledge and application without software access.
 

Advanced multiple-choice questions

Drag-and-drop object association

Active-screen interface analysis

Hot-area graphical selection

Scenario-based and performance evaluation questions

Lecture Plan

Learning Methodology

Berkeley offers expertly developed learning materials tailored to meet participants' needs, ensuring comprehensive coverage of the syllabus and optimal exam preparation.

‣ Tailored Material: Guides are designed to cover the entire syllabus, offering full preparation and deep understanding.

‣ In-Depth Content: Unlike superficial outlines, our materials provide fully developed theories and concepts, equipping participants with complete knowledge.

‣ Strategic Study: We help participants prioritize study time by indicating the weight of each topic, allowing efficient focus on crucial areas.

‣ Difficulty Levels: Topics are labeled as "Awareness" or "Proficiency," guiding participants to allocate time based on the required depth of knowledge.

‣ Comprehensive Coverage: Our materials include detailed theory and a glossary of technical terms to clarify complex concepts.

‣ Effective Learning Techniques: Visual aids and memorization techniques ensure long-lasting retention, helping candidates succeed.

Berkeley’s methodologies equip participants with the essential knowledge and tools for both exams and future success.

Lecture Image
Lectures

Our lecture plan integrates structured learning with interactive teaching methods, promoting engagement and collaboration. This approach ensures a comprehensive understanding of concepts, fostering critical thinking and practical application in real-world scenarios.

Lecture Image
Practice Session

Practice sessions offer hands-on experience through guided exercises, enhancing skills and reinforcing knowledge. This practical approach ensures mastery of concepts, promoting.

Lecture Image
Mock Examination

Mock examinations simulate real test conditions, providing valuable practice and assessment. This helps identify strengths and weaknesses, ensuring thorough preparation and boosting confidence for actual exams.

Berkeley's performance standards

Evaluates and ensure the quality of the training program and all its deliverables. This is measured through the following indicators:
‣ Instructors' experience and style in presenting and explaining topics.
‣ Variety and balance of teaching methods (such as discussions, case studies, mock exams, and videos) used in the course to ensure retention and to match the learning objectives.
‣ Level of interactivity.
‣ Feedback from program participants.
‣ Full compliance with Institute standards and guidelines for preparation and study requirements and methodology.
‣ Progress reports from the training program provider.

What are the Exam Information?

The Autodesk Certified Expert in Generative Design for Manufacturing exam validates a candidate’s ability to apply advanced generative design workflows, define constraints and performance goals, select materials and manufacturing methods, generate optimized design outcomes, and prepare production-ready solutions using Autodesk tools. It measures real-world expertise in AI-driven design optimization and manufacturing-focused innovation.

 

Exam Format & Duration
Part/Module Exam Format Exam Duration
Lecture 1: Instructional Methodology

Internal assessments including advanced practical exercises and multiple-choice questions.

 

Ongoing assessments with a final practice exam of 60 minutes

Lecture 2: Generative Design Fundamentals

Multiple-choice questions with applied conceptual tasks.

 

50 minutes

Lecture 3: Design Setup and Inputs

Scenario-based setup tasks with multiple-choice questions.

 

60 minutes

Lecture 4: Outcome Generation and Exploration

Analysis-based assessment with multiple-choice questions.

 

60 minutes

Lecture 5: Design Refinement

Practical refinement tasks with MCQs.

 

60 minutes

Lecture 6: Manufacturing Considerations

Scenario-based questions with applied evaluation tasks.

 

60 minutes

Lecture 7: Simulation and Validation

Simulation-based assessment with multiple-choice questions.

 

60 minutes

Lecture 8: Documentation and Collaboration

Documentation-based tasks with MCQs.

 

50 minutes

Lecture 9: Final Certification Exam

Selected-response exam including multiple-choice, drag-and-drop, active-screen, hot-area, and graphic-interpretation questions.

 

120 minutes (45–60 questions)

Exam Dates

Available on-demand year-round.

 

Passing Criteria

Minimum passing score set by Autodesk (scaled scoring system).

 

Exam Locations

Online proctored exam and Pearson VUE authorized test centers worldwide.

 

Success Stories

“As a strong advocate for education and human development, I commend Berkeley for its exceptional commitment to empowering future leaders. The institution stands as a symbol of excellence, innovation, and opportunity. Students who walk its halls are nurtured with knowledge, values, and vision—qualities that contribute to building a stronger and more prosperous future for our nation.”- H.H. Shaikh Khalifa Al Hamid

Visit our Alumni

Alumni Benefits

‣ Exclusive Networking Events: Access invitations to industry-leading events and thought-leadership gatherings featuring renowned speakers.


‣ Monthly Updates: Stay informed with a newsletter highlighting the latest research, events, and activities from the school.


‣ LinkedIn Community Access: Join the Executive Education LinkedIn group for networking and professional development opportunities.


‣ Educational Discounts: Enjoy a 20% discount on open-enrollment programs and access to workshops focused on emerging trends.


‣ Global Alumni Network: Connect with a diverse alumni community through the Berkeley School’s online network and engage in country and interest groups.

Is It Worth the Investment?

Earning the Autodesk Certified Expert in Generative Design for Manufacturing certification strengthens career prospects in advanced product design and digital manufacturing by validating expert-level generative design and optimization skills. This certification demonstrates the ability to create high-performance, lightweight, and production-ready designs using AI-driven generative workflows and manufacturing-aware design strategies.

Typical Roles

Generative Design Engineer

Mechanical Design Engineer

Product Development Engineer

Manufacturing Design Engineer

R&D Engineer

Industrial Product Designer

Design Optimization Specialist

Advanced CAD/CAE Specialist

Career Value

High demand in aerospace, automotive, additive manufacturing, and advanced engineering industries

Improves employability in innovation-driven and high-performance design roles

Supports progression into senior engineering and product innovation leadership positions

Enhances professional credibility in AI-assisted design and advanced manufacturing workflows

Validates real-world generative design and optimization expertise

What You Earn

You will get a certificate of completion, which is highly reputed and accepted by employers

Future Trends:

Supports AI-driven design, generative manufacturing, lightweight optimization, and Industry 4.0 workflows.

Fundamental Knowledge:

Builds strong understanding of generative design principles, optimization techniques, and manufacturing constraints.

Technical Skills:

Develops hands-on expertise in Autodesk generative design tools, performance-driven modeling, and production-ready design workflows.

Career Advancement:

Enables progression into senior design engineering, R&D, and innovation leadership roles.

Industry Relevance:

Highly valued in advanced manufacturing, product innovation, and engineering design industries.

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FAQ: Autodesk Certified Expert in Generative Design for Manufacturing

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