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Redefining Software Development Roles in the AI Era

Redefining Software Development Roles in the AI Era

1h 1mBeginner2025-07-09

Authors

Harit Himanshu

Harit Himanshu

Course details

In this course, software practitioner and leader Harit Himanshu equips software developers with the knowledge and skills needed to thrive in an industry being transformed by artificial intelligence. Explore how AI is changing traditional development workflows and learn practical techniques for effectively collaborating with AI coding assistants. Discover how to leverage AI to handle routine coding tasks while focusing your expertise on higher-value activities like system design, problem decomposition, and user experience. When you complete this course, you'll have a strategic roadmap for evolving your skills and positioning yourself as a developer who can maximize the potential of AI tools, rather than compete against them.

Learning objectives
Identify how AI is transforming the software development landscape and evaluate its impact on traditional developer roles and workflows.
Apply effective prompt engineering techniques to maximize productivity when working with AI coding assistants like GitHub Copilot, ChatGPT, and Claude.
Implement AI-augmented development practices that combine human expertise with AI capabilities to solve complex programming challenges more efficiently.
Design a strategic career development plan that leverages AI tools while focusing on high-value skills that differentiate human developers in the AI era.
Create a personalized workflow that integrates AI assistance into your development process to increase productivity while maintaining code quality.

Skills covered

Software DesignTech Career SkillsProgramming FoundationsArtificial Intelligence FoundationsCybersecurityArtificial Intelligence (AI)Cloud ComputingData ScienceSoftware DevelopmentOne-Off

Concepts

0. Introduction

  • 01 - Redefining software development roles in the age of AI

1. Course Overview

  • 02 - Course overview and objectives
  • 03 - Prerequisites and target audience

2. The Evolving Developer Landscape

  • 04 - From machine code to prompts - The developer evolution
  • 05 - How AI is transforming software development
  • 06 - Traditional coding vs. AI assistance

3. AI-Augmented Development

  • 07 - Effective pair programming with AI tools
  • 08 - Leveraging various AI tools for writing code
  • 09 - Prompt engineering for developers

4. Product Development in the AI Era

  • 10 - AI-powered agile development
  • 11 - Customer insights to features with AI

5. Future-Proofing Your Developer Career

  • 12 - Building your AI learning roadmap
  • 13 - Developing your T-shaped value proposition in the AI age
  • 14 - Essential AI skills in today's developer job market

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