Course Outline
Introduction to Prompt Engineering
- Grasping the fundamentals of prompts, context, tokens, and models.
- Exploring prompt categories such as zero-shot, one-shot, and few-shot.
- Differentiating between system and user instructions across various APIs.
Writing Prompts for Code Generation
- Producing code from natural language descriptions.
- Managing output formats and selecting the appropriate programming language.
- Handling complex logic and multi-function implementations.
Using Prompts for Code Explanation and Debugging
- Clarifying legacy or unfamiliar code segments.
- Requesting logic walkthroughs and edge case analysis.
- Identifying and explaining bugs or performance inefficiencies.
Prompting for Test Automation and SQL Generation
- Deriving test cases from requirements or existing code.
- Translating natural language into structured SQL queries.
- Formatting outputs for seamless integration into test suites.
Prompt Refinement and Iterative Design
- Enhancing outcomes through prompt chaining and feedback loops.
- Implementing error recovery and prompt tuning strategies.
- Reviewing case studies on refinement for technical tasks.
Common Pitfalls and Mitigation Strategies
- Preventing hallucinated code and security vulnerabilities.
- Managing incomplete or ambiguous inputs.
- Establishing safe fallback prompts and guardrails.
Best Practices and Tools
- Leveraging prompt libraries and reuse patterns.
- Implementing prompt templates within VS Code or API-based workflows.
- Assessing prompt quality and performance in production settings.
Summary and Next Steps
Requirements
Audience
- Developers utilizing LLMs for code generation or analysis.
- Technical leads investigating AI tools within their workflows.
- Software professionals exploring LLM integrations.
- Background in software development or scripting.
- Knowledge of common programming languages (e.g., Python, JavaScript, SQL).
- Foundational understanding of large language models and AI tools such as ChatGPT, Claude, or Copilot.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1300 € + VAT*
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Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
