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Learn the secrets of effective prompt creation to get the best out of LLMs

Prompt Engineeting Masterclass (No Code)

  • DURATION

    2 Days

  • WEEKLY

    6 Hours

  • FEE

    Contact us

About the Course

Welcome to the Age of Generative AI!

The world is on the cusp of a new era, powered by the transformative potential of generative artificial intelligence (AI). These intelligent models, capable of creating original content and mimicking human-like output, are poised to reshape nearly every facet of our lives, from the way we work to the way we create. At the heart of this revolution lies prompt engineering, the art of crafting instructions that unlock the full potential of these powerful tools.

Generative AI: A Canvas of Possibilities

Imagine a world where AI writes compelling novels, generates stunning artwork, and even designs revolutionary new products. This is the reality promised by generative AI, with its ability to:

  • Create text: From poems and scripts to code and musical pieces, generative AI can craft original content in any format imaginable. (Source: OpenAI API, 2023)
  • Generate images: AI-powered tools can churn out realistic photographs, illustrations, and even 3D models, pushing the boundaries of creative expression. (Source: NVIDIA Dall-E 2, 2023)
  • Develop code: AI can analyze existing code and generate new snippets or even entire programs, automating repetitive tasks and accelerating software development. (Source: GitHub Copilot, 2022)
  • Design products: AI algorithms can analyze user preferences and generate innovative product concepts, optimizing designs for efficiency and user experience. (Source: Autodesk Dreamcatcher, 2023)

Prompt Engineering: The Master’s Key

But like any powerful tool, generative AI requires guidance. This is where prompt engineering comes in. By crafting the perfect instructions, you can steer AI towards the specific outputs you desire, tailoring its creativity to your unique needs. Effective prompt engineering can:

  • Enhance accuracy and control: By fine-tuning your prompts, you can ensure the AI stays within your desired parameters and avoids producing biased or harmful outputs. (Source: Stanford University AI100 Report, 2023)
  • Boost efficiency and productivity: Precisely worded prompts can lead to faster and more accurate results, streamlining workflows and saving valuable time. (Source: Google AI Blog, 2023)
  • Democratize AI access: By simplifying the process of interacting with AI, prompt engineering makes these tools accessible to a wider range of users, regardless of their technical background. (Source: OpenAI Blog, 2023)

The Economic Impact: A New Frontier

The economic implications of generative AI and prompt engineering are vast. Studies estimate that by 2030, these technologies could contribute:

  • $14 trillion to $15.7 trillion to the global economy (Source: McKinsey Global Institute, 2023)
  • Up to 20 million new jobs in fields like AI development, data analysis, and creative industries (Source: World Economic Forum, 2023)
  • Significant productivity gains across various sectors, leading to increased efficiency and competitiveness (Source: Accenture Research, 2023)

This course is your gateway to enter this transformative technology. You’ll learn the fundamentals of generative AI and LLMs, explore the power of prompt engineering, and gain the practical skills to leverage these tools in your own work. Whether you’re an artist, a developer, an entrepreneur, or simply curious about the future, this course will equip you to navigate the exciting world of AI and shape the possibilities it holds.

Join us and unleash the power of your creativity!

Prerequisites

  • Curiosity
  • Patience
  • Basic arithmetic skills - Brackets, division, multiplication, addition, subtraction
  • Ability to operate a computer, keyboard and mouse
  • Ability to use a web browser to access and use the internet

Hardware and Software Requirements

  • Physical operational computer (not in virtualization) – Fedora 34 or greater OR PopOS/Ubuntu 20.04 or greater, OR Windows 10 or greater, OR MacOS 10 or greater
  • 16 GB RAM
  • Broadband internet connection > 5 MBPS
  • 50 GB free hard disk space.

Learning Objective

Knowledge:
  • Define key terms related to Generative AI and Large Language Models (LLMs), including AI, generative AI, LLM, prompt engineering, ChatGPT, etc.
  • Understand the basic architecture and capabilities of LLMs like ChatGPT.
  • Explain the importance of prompting in guiding LLM outputs and achieving desired results.
  • Identify different prompting techniques for various purposes like role-playing, rephrasing, adjusting styles, enhancing, correcting, proofreading, etc.
  • Learn methods for extracting information from LLMs through summarization, contraction, and expansion techniques.
  • Understand the capabilities and limitations of LLMs in creative writing, code generation, translation, and other applications.
  • Explore ethical considerations regarding LLM usage, including potential biases, hallucinations, and legal implications.
Skills:
  • Craft effective prompts to achieve specific goals using ChatGPT and other LLMs.
  • Utilize LLMs for various creative and practical tasks, including creative writing, code generation, translation, information extraction, etc.
  • Apply techniques for enhancing, correcting, and proofreading LLM outputs.
  • Analyze and compare outputs from different LLMs.
  • Identify potential biases and hallucinations in LLM outputs.
  • Understand and follow responsible practices for LLM usage.

Learning Outcome

By the end of the course, participants will be able to:

  • Explain the concepts of AI, generative AI, LLMs, and prompt engineering in their own words.
  • Use ChatGPT and other LLMs effectively for various tasks through well-crafted prompts.
  • Apply advanced prompting techniques like role-playing, rephrasing, and style-specific prompts.
  • Leverage LLMs for creative writing, code generation, information extraction, translation, and other practical applications.
  • Critically evaluate LLM outputs for accuracy, completeness, and potential biases.
  • Employ responsible LLM usage practices and mitigate potential ethical concerns.
  • Compare and contrast outputs from different LLMs and analyze their strengths and weaknesses.
  • Design and implement innovative LLM-based projects for personal or professional use.

Fineprint

  • The topics presented are tentative and we reserve the right to add or remove a topic to update or improve the bootcamp, or for a technical or time reasons.
  • † taxes extra.
teacher
Manuj Chandra

Manuj Chandra

Data Science

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