AI Flash Course

Welcome to the beginning of your AI journey! In this introductory lecture, we set the stage for transforming how you interact with artificial intelligence and outline the core, practical objectives of the course.

What we will cover in this lecture:

• The Course Vision: An overview of the AI Hack Code philosophy and how it serves as your definitive guide to moving from general prompting to highly efficient development.

• Building Applications: A preview of how we will use AI to actively construct an app from the ground up—ideal for accelerating the development of specific projects, such as mobile test-preparation applications.

• Automating Your Daily Workload: Strategies for identifying and automating repetitive tasks in your professional routine, whether you are writing firmware, managing a team of engineers, or handling standard administrative duties.

• Moving Beyond the Chatbot: Understanding the importance of graduating from casual, conversational AI usage to leveraging these systems as powerful, integrated productivity tools.

• Exploring Everyday Tools: A brief introduction to the accessible AI tools we will be mastering to optimise your daily workflow.

By the end of this introduction, you will have a clear roadmap of the hands-on skills we are going to develop. Next up, we will dive directly into a concrete example to show you exactly what is possible!

In this section, we dive into the core skill of effective AI communication: prompt engineering. We will explore how to transition from casual, general chatting to issuing structured, highly efficient commands to the machine.

Key Concepts Covered in this Lecture:

• The Magic Trick: You will see how an "Aesthetic Study Buddy" app can be built in real-time without prior coding experience. This demonstrates that modern development with AI is shifting to be more about logic rather than syntax.

• Modular Prompting Framework: You will learn to construct your prompts using four essential components: Context, Task, Constraints, and Format.

• The RTF Framework: We will cover how defining a specific Role, Task, and Format significantly reduces AI hallucinations. This framework forces the AI to focus on the exact expertise required for your specific job.

• Practical ChatGPT Examples: You will watch a live comparison demonstrating the difference between a vague prompt and a highly detailed prompt. This example shows how a structured prompt can immediately generate a complex, 3-day cramming schedule formatted as a Markdown table without needing iterative back-and-forth communication.

• Custom Instructions & Memory: We will discuss how to optimise your AI tools by setting a permanent context so you do not have to repeat your background information. You will also learn to set style profiles and operational rules, which is highly recommended for keeping outputs concise and managing costs if you are using a paid AI plan.

By mastering these fundamental "cheat codes," you will be fully prepared to start generating accurate, usable code and automating complex tasks.

In this lecture, we explore how to leverage AI memory and custom instructions to make your workflow significantly more efficient. By teaching the AI about your specific preferences and background once, you can eliminate the need to repeat yourself in future interactions.

Key Concepts Covered in this Lecture:

• Establishing Permanent Context: Learn how to provide the AI with persistent information about who you are and what you do, ensuring it always has the correct background context for your requests.

• Defining Style Profiles: Discover how to instruct the AI to respond in a specific manner, such as keeping answers concise and strictly technical. This is especially useful for managing output length and saving on token costs if you are using a paid AI plan.

• Setting Operational Rules: We discuss how to establish global guidelines and constraints for the AI to follow across all your daily tasks.

• Managing Saved Memories: Watch a hands-on demonstration using Microsoft Copilot that shows how to verify what the AI has remembered about you. You will learn how to test its memory directly in the chat, navigate the personalisation settings, and manually delete or modify stored information.

By the end of this lecture, you will know how to personalise your AI tools so they function as a tailored assistant rather than a generic search engine. Next up, we will move into Section 2: Automating the Boring Stuff!