Course Details
Topic 1 : Starting a structural project
- Link or import files
- Understand the concept of copy and monitor elements from a linked file
- Create additional grids and levels
- Create a site file and understand shared coordinates
Topic 2: Working with structural components part 1
- Working with structural columns
- Working with structural walls Part 1
- Working with structural walls Part 2
- Working with structural floors Part 1
- Working with structural floors Part 2
- Working with structural framing Part 1
- Working with structural framing Part 2
- Working with structural framing Part 3
- Working with structural connections
Topic 3: Working with structural components part 2
- Working with stairs
- Working with foundations Part 1
- Working with foundations Part 2
- Working with reinforcement tools - Part 1
- Working with reinforcement tools Part 2
- Working with reinforcement tools - Part 3
- Working with reinforcement tools Part 4
- Working with reinforcement tools -Part 5
- Working with reinforcement tools - Part 6
- Working with selection sets
- Using and modifying element materials
Topic 4: Content creation and management
- Manage family categories and types
- Creating family content
- Create a type catalog
- Editing object styles
Topic 5: Working with views and annotations
- Creating and managing callout views
- Creating and using detail components
- Duplicating views Part 1
- Duplicating views part 2
- Creating a site plan
- Developing and customizing schedules
- Creating and modifying annotation families for documentation
Topic 6: Revision and sheet management
- Working with revisions
- Setting up and managing sheets
Topic 7: Collaboration and project management
- Working with phases
- Working with design options
- Using worksharing features
- Assessing and reviewing warnings in Revit
- Checking a model for interferences
- Understanding and using the audit and compact tools
- Using the purge command
- Transferring project standards
- Configuring export and print settings
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
TBD
Hardware: Window or Mac Laptops
Job Roles
- Architect
- Draftsman
- Building Designer
- BIM Manager
- Structural Engineer
- MEP Engineer
- Interior Designer
- Construction Coordinator
- Architectural Technologist
- Landscape Architect
- Urban Planner
- Project Manager (in construction and architecture)
- Architectural Illustrator
- Design Architect
- CAD Technician (looking to transition to BIM)
Trainers
Dr. Aanand: Dr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.
He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.
He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.
Amir Othman: Amir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.
With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator
www.kronologimalaysia.com and www.diezeitachse.de
He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.
After the realization set in that, I do not want to make it as an electronic engineer, I took the decision to go and try something new out of pure curiosity and thirst for new adventure. It didn't come quite handy but I have changed my major three times. It's not a surprise that I studied artificial intelligence and found myself all over again. I have a strong passion for machine learning and data science, fueled by the drive to learn and the endurance for growth beyond the ordinary.
Lee Cheong Loong: Lee Cheong Loong is a manager with an EMBA – 21 years working experience indifference role/ Dept. (Sales, Logistic, IT, Online Store, Internal Trainer and Customer services), involved in multiple IT project (Server P2V upgrade, Network infra upgrade, and ERP system Deployment). He has switched career to Project management role, Big - data / Data scientist related project, with Professional Certification Big Data & Analytics, Professional Certificate in Tableau, & Pass the HRDF Certified Trainer Programme. He also involves in AI chatbot and application development to help small-medium practitioner (accounting industry).