- Basic understanding of software development
- Experience with at least one programming language (e.g., Python, JavaScript)
Audience
- Software developers
- Product managers
- Technical team leads
AI Coding Assistants are tools designed to improve the efficiency and creativity of software developers.
This instructor-led, live training (online or onsite) is aimed at beginner-level participants who wish to understand AI coding assistants, their capabilities, how they can enhance the development process, and the ethical considerations surrounding their use.
By the end of this training, participants will be able to:
- Understand the purpose and capabilities of AI coding assistants.
- Identify different AI coding assistant tools and their features.
- Utilize AI coding assistants for basic coding tasks.
- Address basic ethical considerations and responsible use of AI in development.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Introduction to AI Coding Assistants
- What are AI coding assistants?
- History and evolution of AI in software development
- Benefits and limitations of AI coding assistants
Core Technologies Behind AI Coding Assistants
- Overview of machine learning and natural language processing
- Introduction to code generation algorithms
- Integration of AI with development tools
Exploring Popular AI Coding Assistant Tools
- Overview of tools like GitHub Copilot, IntelliCode
- Hands-on sessions with basic features
- Comparative analysis of different tools
Basic Workflow Integration
- Setting up an AI coding assistant in an IDE
- Using AI assistants for simple coding tasks
- Customizing the assistant for specific needs
Ethical Considerations and Responsible Use
- Understanding bias and fairness in AI tools
- Basic guidelines for responsible use
- Privacy and security concerns
Project Work
- Applying an AI coding assistant to a small project
- Peer review and feedback
- Discussion on project improvements and lessons learned
Summary and Next Steps
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