Every Essential AI Skill in 25 Minutes (2025)
Summary
Quotes
0:00I have learned all the AI things for you. Here's the cliffnotes version of everything you need to know about AI in my opinion in 2025.
0:23By the end of this video you will know more about AI than like 99% of the population.
0:46Artificial intelligence refers to computer programs that can complete cognitive tasks typically associated with human intelligence.
0:55What we typically refer to as AI these days is called generative AI, which can generate new content such as text, images, audio, and video.
1:18Large language models like GPT, Gemini, and Claude can process and generate text, and many are multimodal.
1:27Many models are natively multimodal, meaning they can input and output not only text but also images, audio, and video.
2:32Prompting is the process of providing specific instructions to a Genai tool to receive new information or to achieve a desired outcome on a task.
2:49Prompting is the single highest return on investment skill that you can possibly learn.
3:30When crafting a prompt, think first about the task you want it to do.
4:11You can ask the AI to start the caption with a fun fact about octopuses, then announcement, ending with three hashtags.
5:16The more context you can provide, the more specific and better the results.
5:37Providing examples of posts you like helps the AI capture nuances and improve results.
5:59The process involves evaluate and then iterate, working with the AI to refine outputs.
6:22If results aren’t good enough, revisit frameworks, add more details, and consider constraints or splitting prompts.
8:39Prompting skills are becoming more important than ever, serving as the glue that ensures you get the results you want consistently.
9:50AI agents can handle a lot of common questions autonomously, and when well-prompted, can generate initial versions of web applications quickly.
10:44An AI agent is made up of components like a model, tools, memory, speech capability, guardrails, and orchestration, which work together to perform tasks effectively.
12:38Prompt precision is especially critical in multi-agent systems where networks of agents interact, making consistency and clarity essential.
13:49If you do know how to code, I recommend checking out OpenAI's agents SDK which does have all these components built into it.
16:36You simply tell the AI what it is that you wanted to build and it just handles the implementation for you.
18:55In the era of vibe coding, you may not need to code everything by yourself, but it still helps to understand the common frameworks used for building applications.
19:29Use version control like Git or GitHub, or else things will break and you will lose your progress.
20:13Whenever you're in doubt, add more context. The more details and background you provide to AI, the better your results will be.
20:34You're either implementing a feature or debugging your code. Focus on context, frameworks, and incremental changes for better results.
23:23In the AI world, progress is measured in weeks, not months or years, making adaptation and trend recognition crucial.
24:34Implement AI-assisted coding and vibe coding to dramatically lower barriers for new builders and increase developer productivity.