Booking options
Price on Enquiry
Price on Enquiry
Delivered Online
Full day
All levels
Duration
1 Days
6 CPD hours
This course is intended for
To gain the most from attending this course you should possess the following incoming skills:
Basic knowledge of programming concepts and syntax in Python.
Familiarity with common data formats such as CSV, JSON, and XML.
Experience using command-line interfaces and basic text editing tools.
Understanding of basic machine learning concepts and algorithms.
Overview
Working in an interactive learning environment, led by our engaging expert, you will:
Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions.
Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4.
Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements.
Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases.
Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions.
Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex.
Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development.
Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment.
Introduction to Prompt Engineering
Overview of prompt engineering and its importance in AI applications
Major applications of prompt engineering in business
Common challenges faced in prompt engineering
Overview of GPT-4 and its role in prompt engineering
Key terminology and concepts in prompt engineering
Getting Things Ready: Text Preprocessing and Data Cleansing
Importance of data preprocessing in prompt engineering
Techniques for text cleaning and normalization
Tokenization and n-grams
Stop word removal and stemming
Regular expressions and pattern matching
GPT-4 Tokenization and Input Formatting
GPT-4 tokenization and its role in prompt engineering
Understanding and formatting GPT-4 inputs
Context windows and token limits
Controlling response length and quality
Techniques for handling out-of-vocabulary tokens
Prompt Design and Optimization
Master the skills to design, optimize, and test prompts for various business tasks.
Designing effective prompts for different tasks
Techniques for prompt optimization
GPT-4 system and user parameters for controlling behavior
Importance of prompt testing and iteration
Best practices for prompt engineering in business applications
Advanced Techniques and Tools in Prompt Engineering
Learn advanced techniques and tools for prompt engineering and their integration in business applications.
Conditional text generation with GPT-4
Techniques for handling multi-turn conversations
Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground
Integration of GPT-4 with other software platforms and tools
Monitoring and maintaining prompt performance
Code Generation and Testing with Prompt Engineering
Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects.
Introduction to code generation with AI models like GPT-4
Designing prompts for code generation across programming languages
Techniques for specifying requirements and constraints in prompts
Generating and interpreting code snippets using AI-driven solutions
Integrating generated code into existing projects and codebases
Best practices for testing and validating AI-generated code
Ethics and Responsible AI
Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business.
Ethical considerations in prompt engineering
Bias in AI systems and its impact on prompt engineering
Techniques to minimize bias and ensure fairness
Best practices for responsible AI deployment in business applications
Monitoring and addressing ethical concerns in prompt engineering
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