AI Empowered Software Development Foundation explores how experienced software developers and teams can dramatically enhance their productivity with modern AI tools. The course runs across three intensive, hands-on days. These tools include generative AI systems, coding assistants, co-pilots, development environment add-ons, simulated data generation tools, testing tools, deployment tools, and collaboration tools. Throughout, the course emphasizes maintaining code accuracy, security, and responsibility.
This course covers foundational through advanced concepts in AI code assistance and prompt engineering, using a wide range of tools. Numerous labs feature Visual Studio Code and GitHub Copilot, alongside generative AI tools such as ChatGPT, Gemini, Claude, and Perplexity. Attendees use these tools for cross analysis, ideation, architecture design, and best-practices auditing.
Day two turns to operations. Attendees write and optimize test cases using AI-powered testing tools such as Cody and DeepSource. They set up an AI-enhanced CI/CD pipeline with tools like Harness. They also collaborate on a shared project using AI-powered platforms for code review and version control. Day three shifts to technique and governance. Prompt engineering sessions cover zero-shot, few-shot, and chain-of-thought prompting. Attendees use LLMs like ChatGPT, Gemini, and Claude to tackle complex development challenges while learning to recognize and reduce hallucinations. The course closes by evaluating AI-generated content for fairness and bias and identifying security flaws that AI-generated code can introduce, giving teams a responsible, secure foundation for everyday AI-assisted development.
Who Should Attend
Anyone interested in generative AI accelerated software engineering
What Attendees Will Learn
Upon completing AI Empowered Software Development Foundation, participants will be able to:
- Demonstrate mastery of AI tools and techniques to enhance software development productivity
- Show proficiency in applying the target language and SQL with AI-powered assistants
- Use Generative AI to augment critical thinking around code structure and architecture
- Work with AI in problem-solving settings
- Understand the basis for hallucinations and how to reduce them
- Have confidence using AI for testing, deployment, and collaboration
- Identify ethical and responsible AI development practices
- Create high-quality documents, articles and marketing content
Prerequisites
- Proficiency in target language
- Basic SQL skills
- Experience with basic software development workflows
- Familiarity with typical development tools like Git, Docker, and IDEs