Prompt Engineering Using Gen-AI tool-GitHub Copilot
(3 Days TOC)
Day 1:
Natural Language Processing (NLP)
-
- Introduction to Natural Language Processing
- Preprocessing and Text Representation
- Text classification
- Understand Language Models
- Explore Sentiment Analysis and Opinion Mining
- Understand Text Classification and Categorization
- Analyze NLP Libraries and Tools
Large Language Models (LLMs)
-
- Introduction to Large Language Models
- Architecture of LLM stack
- Modelling of LLM, Fine Tuning of LLM models
- Applications of LLMs with Use cases
- Future developments, Limitations and Ethics in LLMs
Prompt Engineering
-
- Understanding Prompts in AI
- Importance of Prompts in AI Development
- The Importance of Prompt Engineering
- Applications of Prompt Engineering
- Prompts for Contents
- Prompts for Resumes & Cover Letter
- Prompts for Resumes & Interview Preparation
- Prompts for Learning
- Sample Prompts for Sales & Marketing -Non-technical
- Sample Prompts for Developers-Technical
- Prompts for Developers-Bug detection and fixing
- Prompts for Developers-System design and architecture
- Prompts for Promoters-SEO
- Prompts for Testers-Mock data generation
- Prompts for Unit Testers-Unit Test generation
- Prompts for Documentation
- Prompts for Shell Commands -CLI
- Prompts for Regular Expression
Day 2:
Gen-AI Tool -GitHub Copilot
- Introduction to GitHub Copilot
- Features and Functionality
- Understanding Gen-AI Tools
- What is Gen-AI Tools?
- Role of Gen-AI Tools in Prompt Engineering
- Comparison with Traditional AI Development Methods
- What is GitHub Copilot?
- Purpose and Features
- Learn to use AI to write code for you
- List of Supported Languages
- Language-Specific Features and Capabilities
- Installation and Setup
- Integration with IDEs and Code Editors (Visual Studio, Visual Studio Code)
- Language Models and Machine Learning Techniques
- Code Generation Process
- Copilot Inputs - Write Comments and Type Code
- GitHub Copilot in the CLI
Prompt engineering with REACT Using Gen-AI tool- GitHub Copilot
- Integration with REACT for Prompt Engineering
- Setting Up Development Environment
- Creating Your First Prompt with REACT
- Introduction to REACT
- Purpose and Scope of REACT
- Applications of REACT in AI Development
- Using GitHub Copilot for Prompt Suggestions
- Advanced Techniques in Prompt Engineering
- Create the Home Page for a Static Web Page
- Using Bootstrap classes with Prompt Engineering
- Generating Java Script Code using GitHub Copilot
- Working with REACT Project with Gen-AI
Day 3
Development Using Gen-AI tool- GitHub Copilot
- Best Practices for REACT and GitHub Copilot
- Generate JSX code suing Gen-AI
- Generate Functional Component using GitHub Copilot
- Generate Class Component using GitHub Copilot
- Create React components for About, Help
- Create React component for Login
- Create React component for Location services
- Generating REACT Form suing Gen-AI
- Creating Single Page Application in REACT using Gen-AI
- Generate Hooks Code Using GitHub Copilot
- Generating AXOS code to Consume the REST API using Gen-AI
- Handing the REACT Error using Gen-AI
- Proposing code fixes using Gen-AI
- Answering coding questions suing Gen-AI
- Asking GitHub Copilot Chat questions about your code
Case Study / Project Development using Gen-AI tool / Post Evaluation
Prompt Engineering with REACT Using Gen-AI tool-GitHub Copilot
(5 Days TOC)
Day1:
- Prompt Engineering
- Understanding Prompts in AI
- Importance of Prompts in AI Development
- The Importance of Prompt Engineering
- Applications of Prompt Engineering
- Prompts for Contents
- Prompts for Resumes & Cover Letter
- Prompts for Resumes & Interview Preparation
- Prompts for Learning
- Sample Prompts for Sales & Marketing -Non-technical
- Sample Prompts for Developers-Technical
- Prompts for Developers-Bug detection and fixing
- Prompts for Developers-System design and architecture
- Prompts for Promoters-SEO
- Prompts for Testers-Mock data generation
- Prompts for Unit Testers-Unit Test generation
- Prompts for Documentation
- Prompts for Shell Commands -CLI
- Prompts for Regular Expression
Day 2
- Gen-AI Tool -GitHub Copilot
- Introduction to GitHub Copilot
- Features and Functionality
- Understanding Gen-AI Tools
- What is Gen-AI Tools?
- Role of Gen-AI Tools in Prompt Engineering
- Comparison with Traditional AI Development Methods
- What is GitHub Copilot?
- Purpose and Features
- Learn to use AI to write code for you
- List of Supported Languages
- Language-Specific Features and Capabilities
- Installation and Setup
- Integration with IDEs and Code Editors (Visual Studio, Visual Studio Code)
- Language Models and Machine Learning Techniques
- Code Generation Process
- Copilot Inputs - Write Comments and Type Code
- Indicate that licensed / copyright code is not suggested by tool or display.
- Support for offline mode
- Provide code assistance in the style of my company’s style guide and org policies
- Write code to make code more efficient (e.g. run faster)
- Explain the logic of any existing methods (point by point).
- GitHub Copilot in the CLI
- Explain an entire class and the methods inside it (with logic), in points.
- Based on regex pattern output switch case to be implemented.
- Based on the regex pattern output If. Else condition code to be implemented.
Day 3
Prompt engineering with REACT Using Gen-AI tool- GitHub Copilot
- Integration with REACT for Prompt Engineering
- Setting Up Development Environment
- Creating Your First Prompt with REACT
- Using GitHub Copilot for Prompt Suggestions
- Advanced Techniques in Prompt Engineering
- Customizing Prompts for Specific Tasks
- Optimizing Prompt Inputs and Outputs
- Collaborative Prompt Development with REACT and GitHub Copilot
- Introduction to REACT
- Purpose and Scope of REACT
- Key Features and Capabilities
- Applications of REACT in AI Development
- Create the Home Page for a Static Web Page
- Create the Login Page
- Create the Contact Us Page
- Create the Service Page
- Create pages for About, Help
- Creating CSS classes and use that in Html tags
- Using Bootstrap classes with Prompt Engineering
- Generating Java Script Code using GitHub Copilot
- Working with REACT Project with Gen-AI
Day 4
REACT Development Using Gen-AI tool- GitHub Copilot
- Best Practices for REACT and GitHub Copilot
- Writing Effective Prompts
- Version Control Strategies
- Debugging and Troubleshooting Tips
- Generate JSX code suing Gen-AI
- Generate Functional Component using GitHub Copilot
- Generate Class Component using GitHub Copilot
- Create React components for About, Help
- Create React component for Login
- Create React component for Location services
- Generating REACT Form suing Gen-AI
- Creating Single Page Application in REACT using Gen-AI
- Generate Hooks Code Using GitHub Copilot
- Generating AXOS code to Consume the REST API using Gen-AI
- Handing the REACT Error using Gen-AI
- Proposing code fixes using Gen-AI
- Answering coding questions suing Gen-AI
- Asking GitHub Copilot Chat questions about your code
Day 5
Case Studies and Examples
- Real-world Applications of Prompt Engineering
- Demonstrations with REACT and GitHub Copilot
- Success Stories and Use Cases
- Future Trends and Developments
- Evolving Landscape of Prompt Engineering
- Potential Improvements in Gen-AI Tools
- Implications for AI Development and Research
Case Study / Project Development using Gen-AI tool with REACT / Post Evaluation
GitHub Copilot with PHP & Drupal
Introduction to GitHub Copilot
- Introduction
- GitHub Copilot, your AI pair programmer
- Set up, configure, and troubleshoot GitHub Copilot
- Exercise - Develop with AI powered code suggestions using GitHub Copilot and VS Code
Introduction to prompt engineering with GitHub Copilot
- Prompt engineering foundations and best practices
- GitHub Copilot user prompt process flow
- GitHub Copilot Large Language Models (LLMs)
Introduction to GitHub Copilot for Business
- About GitHub Copilot for Business
- GitHub Copilot for Business use cases and customer stories
- How to get started with GitHub Copilot for Business
Using GitHub Copilot with PHP
- Exercise - Set up GitHub Copilot to work with Visual Studio Code
- Use GitHub Copilot with PHP
- Exercise - Update a PHP portfolio with GitHub Copilot
Using GitHub Copilot with Drupal
- What is GitHub Copilot
- Use GitHub Copilot with Drupal Custom Programming
- Exercise - Update a Drupal Custom Module with GitHub Copilot
Project with GitHub Copilot and Drupal
- Prepare for challenge
- Exercise - Add the GitHub Copilot extension
- Exercise - Create the Custom Registration Form using Drupal & generate the Code using GitHub Copilot.
Prompt Engineering for Java and .NET Developers.
Course Description:
This course is designed to equip junior Java and .NET developers with skills in prompt engineering. Participants will learn to design, implement, and optimize prompts, making their applications more accessible and user-friendly. They will also learn how to create efficient and user-friendly prompts, enhancing the overall usability and accessibility of their software applications.
Prerequisites:
- Java and/or .NET programming language application knowledge
Course Objectives:
By end of this program participants should be able to:
1. Describe the importance of prompt engineering and the principles of designing user-friendly CLIs and GUIs.
2 Create and optimize prompts for efficiency and usability.
6. Analyze user feedback for continuous improvement.
7. Implement error handling mechanism and troubleshoot common prompt issues.
8. Explore best practices and industry standards.
9. Gain insights into securing prompt applications, including user data, communication channels, and storage.
10. Discover advanced topics in prompt engineering, including voice-based prompts.
Course Outline:
Introduction to Prompt Engineering
- Overview of prompt engineering
- Importance in software development
- CLI vs. GUI: Pros and cons
- Industry examples of effective prompts
Software Development Life Cycle (SDLC) for Prompts
- Introduction to SDLC in prompt engineering
- Phases of SDLC: Planning, Design, Development, Testing, Deployment, Maintenance
- Agile vs. Waterfall methodologies for prompt development
- Managing requirements and user stories specific to prompts
User-Centered Design
- Principles of user-centered design
- User personas and scenarios
- Wireframing and prototyping
- Usability testing and feedback
Version Control and Collaboration
- Utilizing version control systems (e.g., Git) for prompt projects
- Collaborative development with distributed teams
- Code branching and merging strategies
- Code review and pull request workflows
Java for Prompt Engineering
- Introduction to Java for CLI/GUI development
- Using JavaFX for GUIs
- Building a basic Java CLI application
- Adding interactivity and navigation
.NET for Prompt Engineering
- Introduction to .NET for CLI/GUI development
- Using Windows Forms for GUIs (C#)
- Building a basic .NET CLI application (C#)
- Implementing event-driven interfaces
Error Handling and User Feedback
- Implementing error handling mechanisms in prompts
- Collecting and analyzing user feedback
- Continuous improvement through user feedback loops
- Debugging and troubleshooting common prompt issues
Security Considerations
- Understanding security risks in prompts
- Secure coding practices for prompts
- Handling user data securely in CLI and GUI applications
- Securing communication channels and data storage
Accessibility and User Experience
- Designing prompts for accessibility
- Adhering to accessibility standards
- Enhancing user experience through prompts
- Case studies of successful prompt engineering
Prompt Optimization
- Performance optimization for prompts
- Minimizing resource consumption
- Implementing caching and efficient data retrieval
- Reducing latency in GUIs
Integration of Language Models (LLMs) like ChatGPT
- Introduction to Language Models for natural language processing
- Integrating ChatGPT into CLI and GUI applications
- Use cases for conversational prompts
- Designing conversational user interfaces (CUIs)
Advanced Topics in Prompt Engineering
- Multilingual support for prompts
- Voice-based prompts and virtual assistants
- Progressive web apps (PWAs) for prompt delivery
- Customization and personalization of prompts
Best Practices and Industry Standards
- Best practices for prompt engineering
Final Project - Advanced Prompt Engineering
- Comprehensive project integrating concepts from the course
- Panel evaluation and feedback