Generative AI Essentials: Prompt Engineering Masterclass

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 44 Lessons (2h 40m) | 952 MB

Master the art of prompt engineering, and maximize your impact with gen AI tools like ChatGPT, Copilot, Gemini & Claude

Generative AI has unlocked incredible potential, but its true power lies in how you communicate with it.

As Andrej Karpathy famously said: “Prompt engineering is programming in English; your ability to express intent defines the machine’s ability to deliver value”.

In this course, we’ll start by reviewing the basics of generative AI and LLMs – how they interpret instructions, generate responses, and learn from context. We’ll introduce the concept of tokens and context windows, and demonstrate how small changes to your prompting strategy can produce dramatically different results.

Next we’ll introduce our unique BRIDGE framework – a six-part system for building prompts that deliver consistent and accurate results. We’ll walk through each component step-by-step, and showcase the importance of background context, requests, inputs, deliverables, guardrails and evaluation. We’ll also share helpful resources like prompt templates and checklists that you can apply to your own work.

From there we’ll share best practices to help you maximize your AI productivity, like leveraging stored memories, projects, and custom GPTs, and preview some enterprise capabilities for additional privacy and security. We’ll also showcase some advanced prompting techniques like chain of thought, branching, XML tagging, multi-shot prompting and more.

COURSE OUTLINE:

• Prompt Engineering 101
  • Review the basics of gen AI and LLMs, learn why prompt engineering matters, and explore key concepts like tokens and context windows
• The BRIDGE Framework
  • Learn a proven, practical framework for writing clear, structured prompts that consistently and dramatically improve AI outputs
• Prompting Best Practices
  • Explore tools and techniques to maximize your AI productivity, including stored memories, prompt templates, projects, custom GPTs and more
• Advanced Techniques
  • Introduce advanced prompting techniques like chain-of-thought, prompt branching, XML tagging and multi-shot prompting
• Final Course Project
  • Use generative AI and advanced prompting techniques to analyze customer feedback for a local café, identify key customer segments, and help inform strategy for a new marketing campaign

What you’ll learn

• Understand how LLMs interpret instructions, process tokens, generate responses, and learn from context
• Apply proven, practical frameworks for delivering consistent and accurate AI outputs
• Learn best practices for using AI responsibly and effectively, including stored memories, projects, custom GPTs and enterprise privacy features
• Explore advanced techniques like chain of thought, branching, multi-shot prompting and more

Who this course is for:

• Individuals who want to master prompt engineering and learn how to communicate clearly and effectively with AI systems
• Leaders looking to guide their teams in using AI effectively, improving accuracy, creativity, and consistency in their outputs
• Anyone who wants to build confidence using tools like ChatGPT and Copilot to save time, spark creativity, and make smarter, faster decisions