GenAI Learning Path-SWE. & Architecture-Foundational
Completed by Biplab Kumar Mitra on August 25, 2026
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Badge ID: I_JDy-JnSIeyQ8viZ1iHWg
About this Badge
This foundational learning path introduces software engineers and architects to core Generative AI concepts. Learn to boost productivity with GitHub Copilot, understand large language models, and apply prompt engineering techniques. Explore agentic AI systems and Python-based architectures to build intelligent applications. Ideal for those beginning their GenAI journey in software engineering and architecture.
Learning objectives
- Develop effective prompt engineering techniques to enhance the performance and reliability of generative AI models.
- Utilize GitHub Copilot to optimize coding practices and improve software development efficiency through AI-driven code generation.
- Architect intelligent Python agents capable of autonomous reasoning and complex problem-solving using advanced agentic AI patterns.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Generative AI Agents
- Software Development Tools
- Microsoft Visual Studio
- Google Cloud Platform
- Integrated Development Environments
- Plan Execution
- Secure Coding
- Artificial Intelligence
- Transaction Processing
- IBM Cloud
- Generative AI
- Microsoft Copilot
- Programming Principles
- Agentic systems
- Prompt Engineering
- Persona Development
- Collaborative Software
- Software Installation
- ChatGPT
- GitHub
- Program Development
- Computer Programming
- Application Development
- Development Environment
- Software Development
- Application Programming Interface (API)
- Persona (User Experience)
- Skills section collapsed. Showing 6 of 28 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.