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
โข Software developers and programmers
โข Full-stack, backend, and frontend developers
โข Application and web developers
โข Technical leads and engineers
โข Students and professionals pursuing software development
Pre-requisites
โข Basic knowledge of at least one programming language
โข Understanding of software development concepts
โข Familiarity with development tools and workflows
โข No prior AI or ChatGPT experience required
Skillset Achieved
โข Ability to use ChatGPT for coding and development tasks
โข Skills to write effective prompts for code-related use cases
โข Improved debugging, refactoring, and optimization techniques
โข Enhanced documentation and testing support
โข 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
โข Role of ChatGPT in modern software development
โข Understanding strengths and limitations of AI coding assistants
โข Best practices for using AI in development workflows
Code Generation and Refactoring
โข Writing code snippets using ChatGPT
โข Refactoring existing code for readability and performance
โข Converting code between programming languages
Debugging and Problem Solving
โข Identifying bugs and logic errors
โข Explaining error messages and stack traces
โข Step-by-step debugging support using prompts
Documentation and Code Explanation
โข Generating code comments and documentation
โข Explaining legacy or unfamiliar codebases
โข Creating README files and technical guides
Testing and Quality Assurance Support
โข Generating unit test cases
โข Test data creation and edge-case identification
โข Supporting test planning and validation
API and Integration Support
โข Designing and documenting APIs
โข Understanding third-party API usage
โข Generating sample requests and responses
Learning and Upskilling with ChatGPT
โข Learning new programming languages and frameworks
โข Understanding algorithms and data structures
โข Preparing for technical interviews and coding challenges
Security, Ethics, and Responsible AI Usage
โข Avoiding insecure code generation
โข Understanding data privacy and IP concerns
โข Best practices for safe AI-assisted development
Hands-on Practice and Developer Use Cases
โข Real-world coding scenarios
โข Prompt engineering exercises for developers
โข 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
โข Participation in hands-on coding exercises
โข Practical prompt-based development tasks
โข 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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