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  3. GenAI for Mobile App Developers (iOS, Android)

GenAI for Mobile App Developers (iOS, Android)

The "GenAI for Mobile App Developers" course at GenAI Academy explores how Generative AI can transform mobile app development, helping participants streamline their workflows.

Karlis Zars
Karlis Zars
Data Science | core | 1 hour |   Published: Nov 2024
In partnership with:  Coursera

    Discussions

Overview

1KSTUDENTS*
98.2%RECOMMEND*

This course includes:

  • 2 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online

At the GenAI Academy, the "GenAI for Mobile App Developers" course explores the transformative power of Generative Artificial Intelligence (GenAI) in mobile app development practices. This comprehensive course equips participants to harness the capabilities of GenAI to streamline their development workflows. 

Through interactive discussions, video demonstrations, and hands-on exercises, attendees will discover how GenAI can optimize efficiency in mobile app testing, user interface optimization, performance analysis, and automation. The curriculum also addresses the challenges and best practices associated with implementing GenAI in mobile app development. 

Upon completing the course, mobile app developers will gain the expertise and competencies necessary to leverage GenAI's capabilities to boost productivity, reduce costs, and enhance collaboration. Whether you're an experienced mobile app developer seeking to stay ahead of the curve or a newcomer looking to future-proof your skillset, this course provides a solid foundation for unlocking new levels of efficiency, innovation, and success in your professional endeavors.

Skills You Will Gain

Efficiency
Automation
Productivity

Learning Outcomes (At the end of this program you will be able to)

  • Review the limitations of GenAI for Mobile App development.
  • Evaluate the results of GenAI for a real-world application in mobile app development functions.
  • Compare and contrast the risks, challenges, and ethical considerations of GenAI in the workplace for Mobile App development functions. 

Prerequisites

No prior knowledge of artificial intelligence is required for this course. However, participants should have a solid understanding of mobile app development principles and practices to fully grasp the applications of GenAI in this context.
 

Who Should Attend

The "GenAI for Mobile App Developers" course is designed for experienced mobile app developers who aim to stay current with emerging technologies and improve their development skills. It also targets newcomers to the field who want to future-proof their skillset and gain a competitive edge in the job market. Additionally, professionals seeking to upskill and enhance their expertise in mobile app development will benefit from this course.
 

Curriculum

Instructors

Frequently Asked Questions

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: GenAI for Mobile App Developers (iOS, Android)
Karlis Zars

Karlis Zars

Karlis is a dedicated professional committed to shaping the next generation of software developers. With over seven years of experience, he serves as a JAVA Trainer at Software Development Academy, where he mentors aspiring developers and equips them with the skills needed to thrive in the fast-paced tech industry.

Beyond the classroom, Karlis is deeply involved in cutting-edge research as a PhD student in Computer Science at the University of Latvia. His research focuses on artificial intelligence and machine learning, exploring innovative applications that drive industry advancements.

Karlis began his journey in technology with hands-on experience as a Robotic Process Automation Developer at Rimi Baltic Group, where he designed and implemented automated solutions that transformed business processes. His previous roles as a Developer at ELVA and a Junior Software Developer at D8 Corporation allowed him to hone his expertise in Java, JavaScript, Linux, and Flutter, contributing to his well-rounded understanding of software development.

Throughout his career, Karlis has remained committed to delivering high-quality, user-friendly solutions that address complex challenges. His experience as a System Administrator at Lauku Avīze AS and a Software Tester at Lattelecom helped cultivate a diverse skill set and a keen eye for detail.

Karlis’ academic journey at Latvijas Universitāte, where he is pursuing a Doctor of Philosophy in Computer Science, has further enriched his knowledge and reinforced his commitment to excellence in both academia and industry.

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Segment 01 - Introduction to GenAI for Mobile App Developers

Segment 02 - Glossary for GenAI and Mobile App Developers

Segment 03 - History & Background for GenAI and Mobile App Developers

Segment 04 - Demo for Creating App UI Component with ChatGPT

Segment 05 - Demo for Optimizing Flutter App Code with Cody

Segment 06 - Demo for Automating Unit Testing in Flutter Apps with Cody

Segment 07 - Remediating Risks and Ethical Concerns

Segment 08 - Demo for Creating a Dart Scoring App with Flutter and ChatGPT

Segment 09 - Demo for Developing a Simple Flutter Game with Gemini

Segment 10 - Practice Project for Mobile App Developers

Segment 11 - Closing Thoughts: What’s Next