Generative AI Productivity - Architect's Wins and Pitfalls

Overview

Unlock the potential of Generative AI to revolutionize software development productivity. This session offers valuable real-world insights drawn from Wealthsimple's journey, highlighting both successes and hurdles in implementation.

Dive into practical examples of how Generative AI can streamline processes, enhance efficiency, and elevate output quality in software engineering.

Gain an understanding of the common pitfalls and effective strategies to overcome them, ensuring a smooth integration into your workflow.

Join us on YouTube for this insightful exploration, ideal for professionals and enthusiasts keen to leverage AI advancements in the tech industry.

Syllabus

• Introduction to Generative AI
Overview of Generative AI technologies
Historical context and evolution
• Understanding Wealthsimple's Use Case
Background on Wealthsimple
Business goals for implementing Generative AI
• Key Concepts of Generative AI in Software Development
Types of Generative AI models
Processes enhanced by Generative AI
• Generative AI Tools and Platforms
Review of popular Generative AI tools
Selection criteria for AI platforms
• Implementation Strategies
Preparing your development environment
Integration with existing systems
Change management and team training
• Productivity Wins with Generative AI
Case studies of successful implementations
Metrics to measure productivity improvements
• Common Pitfalls and How to Avoid Them
Challenges in data quality and availability
Ethical concerns and bias in AI models
Managing expectations and monitoring AI performance
• Wealthsimple's Lessons Learned
Real-world examples of successes and failures
Reflections on iterative improvement
• Future Directions in Generative AI for Software Development
Emerging trends and technologies
Speculations on future applications
• Course Summary and Key Takeaways
Recap of main topics
Resources for further learning and exploration
• Final Q&A and Discussion
Open forum for questions
Sharing experiences and insights from participants
• Capstone Project (Optional)
Design a small-scale Generative AI project for a software development scenario
Group presentation and feedback session

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Subjects

Computer Science