AI and Developer Productivity

Course details

If you’re looking for new ways to leverage AI as a software developer, this course was designed for you. Get an essential overview of how you can start using AI to improve your development productivity, creativity, and professional problem-solving skills. Join instructor Temidayo Adefioye as he shows you how to successfully integrate tools like Microsoft Copilot and ChatGPT into your workflow, while also appreciating the value of AI as a supplement rather than a mere replacement for your own personal process.

Learn how to upskill and become an AI-powered developer to remain competitive and innovative in the industry. This course covers the following concepts and provides hands-on examples and demos along the way: the role of AI in development, how to effectively use prompts, code optimization, automated testing and quality assurance, intelligent debugging and issue resolution strategies, collaborative development for remote teams, documentation techniques, interview preparation, and more.

Concepts

0. Introduction

01 - AI and developer productivity
02 - What you should know
03 - Understanding the role of AI in software development
04 - Amplifying developer creativity - The AI advantage

1. Exploring GPT Technology and Effective Use of Prompts

05 - Introduction to GPT technology
06 - How GPT works
07 - Prompt engineering strategies
08 - Practical use cases of GPT in software development

2. Code Optimization with AI

09 - A disclaimer before we begin
10 - GPT for idea generation
11 - Leveraging AI for code reviews
12 - AI-assisted code completion
13 - Bug detection with AI
14 - AI-powered performance optimization

3. Automated Testing and Quality Assurance Enhanced by AI

15 - The traditional challenges of software testing
16 - Test data generation with AI
17 - Test script generation with AI
18 - The pros and cons of using AI tools for test scripting

4. Intelligent Debugging and Issue Resolution Strategies

19 - Understanding common coding errors
20 - GPT-powered debugging tools
21 - Efficient issue identification
22 - Contextual issue resolution

5. Collaborative Development for Remote Teams with AI

23 - Collaboration and modern software development
24 - AI-powered communication tools

6. AI-Powered Code Documentation Techniques

25 - The significance of clear code documentation
26 - Generating your first draft with AI

7. AI Interview Preparation - Technical Questions and Confidence Building

27 - The traditional challenges of acing an interview
28 - Technical interview practice with AI
29 - Behavioral interview preparation with AI
30 - Best practices for interview success

Conclusion

31 - Using AI to improve productivity