The course focuses on practical, hands-on use cases such as code generation, debugging, refactoring, documentation, testing support, and learning new technologies.
Overview
ChatGPT for Developers Training is designed to help software developers leverage ChatGPT as an AI-powered coding assistant across the software development lifecycle. The course focuses on practical, hands-on use cases such as code generation, debugging, refactoring, documentation, testing support, and learning new technologies. Participants will learn how to use ChatGPT responsibly and effectively to improve development speed, code quality, and problem-solving capabilities without replacing core engineering judgment.
Learning Outcomes
- Use ChatGPT to accelerate software development workflows.
- Generate, debug, and optimize code using AI tools.
- Improve productivity in testing, documentation, and problem-solving.
- Apply prompt engineering for development tasks.
- Integrate AI assistance into modern coding practices.
Duration & Delivery Mode
14 hours
Target Audience
• Software developers and programmers
• Full-stack, backend, and frontend developers
• Application and web developers
• Technical leads and engineers
• Students and professionals pursuing software development
Pre-requisites
• Basic knowledge of at least one programming language
• Understanding of software development concepts
• Familiarity with development tools and workflows
• No prior AI or ChatGPT experience required
Skillset Achieved
• Ability to use ChatGPT for coding and development tasks
• Skills to write effective prompts for code-related use cases
• Improved debugging, refactoring, and optimization techniques
• Enhanced documentation and testing support
• Awareness of AI limitations, security, and ethical considerations
Course Outcome
After completing this training, participants will be able to use ChatGPT as an effective development assistant to write, debug, test, and document code more efficiently. Learners will improve productivity and code quality while applying responsible and secure AI practices in real-world software development environments.
Course Outline
Introduction to AI-Assisted Development
• Role of ChatGPT in modern software development
• Understanding strengths and limitations of AI coding assistants
• Best practices for using AI in development workflows
Code Generation and Refactoring
• Writing code snippets using ChatGPT
• Refactoring existing code for readability and performance
• Converting code between programming languages
Debugging and Problem Solving
• Identifying bugs and logic errors
• Explaining error messages and stack traces
• Step-by-step debugging support using prompts
Documentation and Code Explanation
• Generating code comments and documentation
• Explaining legacy or unfamiliar codebases
• Creating README files and technical guides
Testing and Quality Assurance Support
• Generating unit test cases
• Test data creation and edge-case identification
• Supporting test planning and validation
API and Integration Support
• Designing and documenting APIs
• Understanding third-party API usage
• Generating sample requests and responses
Learning and Upskilling with ChatGPT
• Learning new programming languages and frameworks
• Understanding algorithms and data structures
• Preparing for technical interviews and coding challenges
Security, Ethics, and Responsible AI Usage
• Avoiding insecure code generation
• Understanding data privacy and IP concerns
• Best practices for safe AI-assisted development
Hands-on Practice and Developer Use Cases
• Real-world coding scenarios
• Prompt engineering exercises for developers
• Participant-led problem-solving sessions
Assessment Topics
- Introduction to AI for Developers
- Prompt Engineering for Coding
- Code Generation and Debugging
- Documentation and Testing Automation
- AI-Assisted Development Workflows
- Practical Coding Exercises
Evaluation
• Participation in hands-on coding exercises
• Practical prompt-based development tasks
• Scenario-based technical assessment
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
Participants who successfully complete the training and evaluation will receive an AcadNXT Certificate of Completion in ChatGPT for Developers Training, validating their ability to apply AI tools effectively in software development workflows.
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