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Duration 14 hours
Course Outline
Introduction to LLMs in Software Development
- An overview of LLMs and their function in code generation
- The historical evolution of automated coding tools
- Assessing the capabilities and limitations of LLMs in coding tasks
LLMs for Automated Code Generation
- Configuring LLMs for effective code generation
- Best practices for crafting prompts and interpreting LLM outputs
- Practical exercises involving LLMs to generate code for common patterns
Improving Code Quality with LLMs
- Leveraging LLMs for code reviews and bug resolution
- Integrating LLMs with version control systems
- Case studies demonstrating how LLMs enhance code efficiency
LLMs for Software Documentation
- Automating the generation of documentation using LLMs
- Ensuring consistency and completeness in generated documentation
- Adapting LLMs to suit various documentation styles and industry standards
Advanced LLM Techniques
- Fine-tuning LLMs for specific coding languages and frameworks
- Developing custom LLM models tailored to unique project requirements
- Exploring recent advancements in LLM technology
Ethical and Legal Considerations
- Evaluating the ethical implications of automated code generation
- Understanding the legal dimensions of utilizing LLM-generated code
- Best practices for the responsible deployment of LLMs in software development
Project Work
- Applying LLMs to practical coding tasks
- Conducting peer reviews and participating in collaborative problem-solving sessions
Summary and Next Steps
Requirements
- Familiarity with standard software development processes
- Proficiency in at least one programming language (e.g., Python, JavaScript)
- Basic understanding of machine learning concepts
Target Audience
- Software developers
- Technical writers
- Project managers
Testimonials (1)
Very good knowledge of the trainer. Good support during commissioning and exercises.
Wilhem - e.solutions GmbH
Course - LLMs for Code Generation and Documentation
Machine Translated
