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Updated in [April 29th, 2023]
Course Overview: This course provides an introduction to Figma and Bravo, two no-code platforms that allow users to create and develop their own products without coding. It covers the basics of UX/UI design, how to design user-friendly and business-efficient interfaces, and how to use Bravo Studio to turn designs and prototypes into real mobile apps. Additionally, the course covers how to use Airtable to connect data with the app.
Possible Development Directions: After completing this course, users will have the skills to create and develop their own products without coding. They will be able to use Figma to design user-friendly and business-efficient interfaces, use Bravo Studio to turn designs and prototypes into real mobile apps, and use Airtable to connect data with the app. Additionally, users will be able to use their newfound skills to create and develop their own products, iterate and build a successful business without code, and accelerate corporate innovation with no-code rapid prototyping.
Related Learning Suggestions: After completing this course, users may want to explore other no-code platforms, such as Bubble, Webflow, and Glide. Additionally, users may want to explore other aspects of UX/UI design, such as user research, user testing, and usability testing. Finally, users may want to explore other aspects of product development, such as marketing, customer service, and analytics.
[Applications]
After completing this course, participants will be able to apply their knowledge to create their own projects with Figma and Bravo Studio. They will be able to create user-friendly and business-efficient interfaces, turn their app designs and prototypes into real publishable mobile apps, and use Airtable to connect their app with data. Participants will also be able to use their newfound skills to accelerate corporate innovation with no-code rapid prototyping.
[Career Paths]
1. UX/UI Designer: UX/UI Designers are responsible for creating user-friendly and visually appealing interfaces for websites and applications. They use a variety of tools, such as Figma, to create wireframes, prototypes, and mockups. They also conduct user research and usability testing to ensure the design meets the needs of the user. The demand for UX/UI Designers is growing rapidly as companies recognize the importance of creating a great user experience.
2. No-Code Developer: No-Code Developers are responsible for creating applications and websites without writing code. They use tools such as Bravo Studio to create prototypes and publishable mobile apps. No-Code Developers are in high demand as companies look to quickly develop applications and websites without the need for coding.
3. Data Analyst: Data Analysts are responsible for analyzing data to identify trends and insights. They use tools such as Airtable to create relational databases and analyze data. Data Analysts are in high demand as companies look to gain insights from their data.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, including programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree path is becoming increasingly popular as technology continues to evolve and become more integrated into our lives.
2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as systems analysis, database management, and network security. This degree path is becoming increasingly popular as businesses look to leverage technology to improve their operations.
3. Bachelor of Science in Cybersecurity: This degree path focuses on the security of computer systems and networks. It covers topics such as cryptography, network security, and digital forensics. This degree path is becoming increasingly important as cyber threats continue to grow and become more sophisticated.
4. Bachelor of Science in Data Science: This degree path focuses on the analysis of large datasets to uncover patterns and insights. It covers topics such as data mining, machine learning, and predictive analytics. This degree path is becoming increasingly popular as businesses look to leverage data to make better decisions.
