The Vision of YegaTech's AI AEC Innovations School

To educate architecture, engineering, and construction executives, professionals, technologists, and innovation leaders about AI technologies and applications to increase profits and fast-track their success.

What You'll Get 

By the end of this course, you will: 

  1. Understand the business impacts and outcomes of data and AI applications in the architecture, engineering, and construction (AEC) industry,
  2. Learn how to include data values in your design and construction projects,
  3. Join the AEC Innovations Community, a global community of like-minded AEC professionals, innovators, entrepreneurs, and technologists
  4. Earn an AI leadership certification from YegaTech's AEC Innovations School.


Course Access

  1. Once registered, you'll have access to all lessons and content of the course for six months. 
  2. Bonus: A 30-minute group coaching call (Available on-demand)


Syllabus

Module 1: Understand what AI is

Module 2: Identify how data is used

Module 3: Know what AEC AI systems are

Module 4: Examples of AI systems in AEC

Pre-requisite

You don't need any prior technical knowledge about artificial intelligence, machine learning, or data analytics. 

Who Can Take This Course?

Anyone who wants to learn about AI, its use cases, and applications in the architecture, engineering, and construction industry. 


Additional Info:

The course has 52 lessons, and the first five lessons are available for FREE. So make sure to check them out. If, for any reason, you're not completely satisfied with the course, contact us within 30 days, and we'll issue a full refund.


Course curriculum

    1. Becoming an AI Leader in AEC

      FREE PREVIEW

    2. Introduction

      FREE PREVIEW

    3. Legal Disclaimer

      FREE PREVIEW

    1. Module 1: Introduction

      FREE PREVIEW

    2. What is AI?

      FREE PREVIEW

    3. What is Computer Vision?

      FREE PREVIEW

    4. What is Speech Recognition and Synthesis?

    5. What is Natural Language Processing (NLP)?

    6. What is Machine Learning?

    7. What is Supervised Machine Learning?

    8. Examples of Supervised Learning in AEC

    9. What is Unsupervised Machine Learning?

    10. What is Knowledge Representation and Reasoning?

    11. Understand how Robots Work

    12. Understand Search and Optimization

    13. Is Generative Design AI?

    14. AI System Example in AEC: Don't start from scratch

    15. Module 1 Summary

    16. Module 1: Quiz

    1. Module 2: Introduction

    2. What is Data?

    3. Examples of Data in AEC

    4. Five Data Characteristics

    5. Characteristic 1: Data Volume

    6. Characteristic 2: Data Velocity

    7. Characteristic 3: Data Variety

    8. Characteristic 4: Data Veracity

    9. Characteristic 5: Data Value

    10. Analytics Value Escalator

    11. Descriptive Analytics

    12. Diagnostic Analytics

    13. Predictive Analytics

    14. Prescriptive Analytics

    15. Data Challenges in AEC

    16. Data Governance

    17. AI Example in AEC: Facility management and operations

    18. Module 2- Summary

    19. Module 2: Quiz

    1. Module 3: Introduction

    2. What are AI Systems?

    3. How to Interact with AI Systems?

    4. Two Types of AEC AI Systems

    5. Two Types of problems in design and construction

    6. What AI Systems cannot do? Causation

    7. What AI Systems Cannot Do? Counterfactuals

    8. What AI Systems Cannot Do? Constraints

    9. Module 3- Summary

    10. Module 3: Quiz

    1. Module 4: Introduction

    2. Learning to Simulate with AI

    3. Energy Simulation with AI

    4. Prefab Recommendation Engine

    5. Welding Inspection with AI

    6. Increase Sales and Profit Margin with AI

    7. Module 4: Summary

    8. Assignment: AI Use Cases in Your Organization

    1. Summary

    2. What's next?

    3. Course Survey

About this course

  • $500.00
  • 59 lessons
  • 2 hours of video content

Instructors

Mehdi Nourbakhsh

Mehdi is an author, speaker, and the CEO of YegaTech, a technology consulting company in AEC. He’s devoted to helping CEOs, CTOs, innovation directors, and business executives to grow their businesses and differentiate themselves and their companies via AI technology and innovation. With a decade of experience in the research and development of innovative AI solutions in the AEC and manufacturing industry at YegaTech, Autodesk, and Georgia Institute of Technology, Mehdi brings a unique perspective to the AEC industry. Mehdi has led and advised on several AI solutions that are used by tens of thousands of AEC and manufacturing professionals every day.

Samaneh Zolfagharian

Samaneh is a product technologist with over seven years of experience in launching SaaS products and seven years of experience in R&D within the construction industry. She devised and executed a business plan and strategy for connecting manufacturing and AEC solutions, leading to an Industrialized Construction initiative. Before this initiative, she was one of Autodesk’s product managers leading the manufacturing solution database aiming to elevate the planning, program, and production of manufacturing processes. Samaneh holds a Ph.D. in Design Computing and Construction Management from Georgia Tech. She is a published author and has more than 30 research papers (with 200+ citations) in peer-reviewed journals and conferences.

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