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.
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.
Autodesk, Inc.
San Francisco, California, United States
Global Autodesk User and Professional Community (Millions+ worldwide)
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.
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
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
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
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
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
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
Validating generative designs using simulation tools to ensure performance and reliability.
Stress and load analysis
Performance validation
Iterative testing and refinement
Failure analysis
Preparing design outputs and collaborating across engineering and manufacturing teams.
Exporting design files
Creating technical documentation
Design communication workflows
Data management and version control
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
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.
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.
Practice sessions offer hands-on experience through guided exercises, enhancing skills and reinforcing knowledge. This practical approach ensures mastery of concepts, promoting.
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.
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.
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.
| 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) |
Available on-demand year-round.
Minimum passing score set by Autodesk (scaled scoring system).
Online proctored exam and Pearson VUE authorized test centers worldwide.
“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
‣ 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.
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.
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
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
You will get a certificate of completion, which is highly reputed and accepted by employers
Supports AI-driven design, generative manufacturing, lightweight optimization, and Industry 4.0 workflows.
Builds strong understanding of generative design principles, optimization techniques, and manufacturing constraints.
Develops hands-on expertise in Autodesk generative design tools, performance-driven modeling, and production-ready design workflows.
Enables progression into senior design engineering, R&D, and innovation leadership roles.