Last week, I spent five hours—and forty-nine bucks—taking Google’s new AI Essentials course for beginners.

Was it worth it? Well, since I’d like to make that money back (my ever-growing habit of chatting with AI instead of humans isn’t cheap), I put together this video to cover my top five takeaways. I’ll keep it real about the pros and cons, and answer the big question: Is this certificate actually useful, or are you just wasting your time and cash? And, you know, is it something that’ll help you get paid—not just earn a fancy line on your resume? (That sounded less awkward in my head.)

Takeaway #1: The Three Types of AI Tools

First up, the course sorts AI tools into three buckets.

One: Standalone tools.

These are your plug-and-play apps—just open them and start. Think ChatGPT, Gemini, Claude, and Perplexity for chatbots, plus specialized stuff like Otter.ai, Midjourney, and Gamma. Different tools, different uses, but all of them can be launched from their websites or apps, no extra installs, no headaches.

Two: Tools that have integrated AI features.

That’s stuff like Google Docs or Slides, where AI quietly powers things behind the scenes. So, you could paste your Doc draft into ChatGPT as a standalone option, or just let Gemini do its thing inside Docs. Same idea with images: use Midjourney by itself, or generate visuals inside Google Slides with Gemini. Standalone tools are like Swiss Army knives; integrated features kind of work while you’re already doing your thing.

Three: Custom AI solutions.

Sounds intimidating, but really, it just means AI that’s built for a special job. Take Johns Hopkins—they’ve got an AI that detects sepsis, and it boosted accuracy from just 2-5% to about 40%. And you don’t have to be a coder—these are designed to be user-friendly. When I worked in sales with about 200 clients every quarter, research was a nightmare. Now, custom AIs can process your client data, spot trends, flag potential problems—no coding, just results.

Quick heads up: Don’t buy the standalone AI Essentials course. I found out (too late for me) that it comes free with Google’s Project Management certification on Coursera—which, by the way, is sponsoring this video. I have a full-time job managing projects myself, mostly self-taught, but checked out the cert since everyone’s been talking about it. Project management is useful no matter your field, and snagging the AI course for free is a solid bonus. Link below if you want to look.

Takeaway #2: Spell Out What You Mean

Jumping back in—prompt engineering. Biggest lesson? Spell out what’s implied.

You know how, if your vegetarian friend asks for lunch spots, you don’t offer steak restaurants? AI needs that context spelled out. So, if you’re using Gemini or ChatGPT and want help negotiating a raise, don’t just say, “I want more money.” Feed in the details: “Last year I got a 10% raise, this year I’m the top performer, the industry is averaging 12%, and I want to ask for 15%.” The more specific you are, the better the answer.

I go deep on this stuff (shameless plug) in my prompt-writing video—link below—and there’s a free cheat sheet if you want a quick productivity boost.

Takeaway #3: Zero Shot vs. Few Shot Prompting

Here’s a basic but important one: “shot” in prompt engineering just means “example.” Zero-shot = no samples and you just ask. “Write me a pickup line for Bumble.” (Not saying I’ve ever actually used that…) One-shot means you give one example. Few-shot is two or more.

So the more relevant examples you give, the more the AI gets your vibe. And, for the record, if my future spouse is watching: I’m not on dating apps, this is just, uh, professional research.

Takeaway #4: Chain of Thought Prompting

For tougher jobs, break them into steps—use Chain of Thought prompting. The course spells it out: split a complex task, feed each piece to the AI, and get better results.

Imagine writing a cover letter. Instead of dumping your resume and the job ad into ChatGPT and saying, “Go for it,” start small: “Write an opening based on my background and this job description.” Then, “Give me a strong body paragraph,” and so on. This gets you a more focused, polished letter. And yes, I made a video walking through that exact process—link below.

Takeaway #5: Remember the Limits

Last big lesson—these tools have real limits.

First, bias in training data.

If an AI only knows minimalist art, it won’t spit out wild neon graphics.

Second, knowledge gaps.

Most AIs are trained up to a certain date. Ask about the latest news, and you might get old info.

Third, hallucinations.

Sometimes the AI straight-up makes stuff up. Sometimes it’s hilarious, but it can also be wrong or dangerous—especially if you’re looking for answers about health or law. Always double-check before taking action.

Who Should (And Shouldn’t) Take This Course

Alright, who’s it for? If you already use ChatGPT or Gemini all the time, or if you’re after advanced stuff, skip it. The course is basic and the examples are, honestly, a little bland. Lots of “AI helped cut call wait times,” without any nitty gritty details about how or what went wrong.

But for newbies, here’s what you get:

One, you’re learning from Google pros—not just YouTubers like me.

Two, visual learners win. The graphics make things click, comparing AI models to cars and engines and making everything a little more concrete.

Three, interactive learning. The quizzes aren’t a joke—you’ve got to pay attention to pass. That forces you to actually absorb the material.

Plus, you walk away with a cheat sheet of AI tools you can try, and a handy glossary.

Final Verdict

So, if you’re new to AI or like to learn by seeing, this class actually gives you something useful. The certificate is legit—nice for your resume and showing future employers you can keep up. If you liked this breakdown, check out my review of Google’s free, more theoretical AI course—it digs even deeper. Alright, that’s it for now—thanks for watching, and good luck out there!

I’ve spent seven months testing 110+ AI tools—started off by watching over 200 YouTube videos from experts and tracking all their picks.

Why? Because using the right AI tools is more than just a time-saver. Nail the right ones, and you breeze through your week; pick the wrong ones, and you might burn hours cursing at your screen.

So, I went deep and narrowed it down to the 14 AI tools that are actually worth your time. Let’s kick it off with the foundation: your main AI assistants. Everything else works better if you know these three.

First is ChatGPT.

You’ve definitely heard of it. It’s awesome for general reasoning, and with GPT 5.2, it’s even better at taking its time and working through things step by step. This “chain of thought” approach means you’re less likely to get those weird, confidently wrong answers.

Claude is my main pick for writing and coding.

Its party trick is this massive context window—up to 200,000 tokens, so you can feed it entire books or long transcripts and it’ll still remember every detail, start to finish. Other models get lost after a few pages; Claude stays sharp.

Then, Gemini.

Google’s in-house model. It’s killer if you live in Google Workspace. Gemini can look at your Gmail, Drive, Calendar, and actually understand the files you’re talking about. Need to find your flight email or double check if you’ve got meetings? Gemini handles it. If Google is your home base at work, Gemini’s like having a hyper-efficient assistant.

Of course, even the smartest AI doesn’t help if it takes forever to get your ideas in.

That’s where Whisper Flow comes in. You hold a hotkey, talk, and it spits out neat, formatted text, anywhere your cursor sits—email, Docs, ChatGPT, wherever. It even edits your speech as it transcribes, throws in the right punctuation, and formats for the app you’re using. And I love the “course correction” feature—say, “Let’s meet Tuesday, um, actually Wednesday,” and it writes, “Let’s meet on Wednesday.” No more weird draft edits.

You can also highlight any text and tell Whisper Flow to fix it—make it professional, bullet list it, condense it. All hands-free. What used to take me 20 minutes to type is now five minutes of talking. There’s a free tier if you want to try it.

If privacy is your thing, Super Whisper is the alternative.

Runs entirely on your Mac; nothing leaves your machine. You lose a little formatting power, and it’s Mac-only for now, but if you deal with sensitive stuff or strict rules at work, this is your privacy solution.

Bottom line: pick Whisper Flow for speed and formatting, Super Whisper for privacy.

Now, capturing what comes in during meetings is almost a must now.

Granola and Fathom are my favorites. Granola is booming with execs who live in video calls. It doesn’t pop in as a bot (which can be awkward), just quietly grabs your audio, and pops out a transcript that actually reads like a human took notes. You can scribble notes as you go, and Granola will expand them into full sentences later.

Fathom is another strong option—completely free, unlimited transcribing, supports Zoom, Google Meet, and Teams. It summarizes meetings, grabs action items, and makes shareable clips right after you hang up. If you want free, start here. If you want polished notes and privacy, Granola is better.

Of course, transcripts are only useful if you can find the info later.

That’s where the next two tools come in—they totally changed how I research.

First is Perplexity. It’s like Google Search on autopilot: reads all the results, collects the facts, gives you a tidy answer with links to sources. No more sifting through ten tabs or wondering where info came from. I use it every time I’m checking something tricky or learning new stuff. It’s my go-to search for anything deeper than “how’s the weather.”

Next, Notebook LM, Google’s deep research tool. It does web search, but the real magic is what it does with your own documents. Upload your PDFs, research papers, reports, whatever—and it only answers using what you’ve given it. No made-up facts, just your real data. It’ll even turn a summary into a podcast-style chat between two AIs, so you can listen while multitasking. Short version: Perplexity for the web, Notebook LM for your personal documents.

On the visuals front, image-generation AI has gotten wild—sometimes you can’t tell if it’s AI or a pro photographer’s work.

Two must-know tools here.

Midjourney absolutely crushes it for style and creative quality. Images are cinematic and polished, genuinely better than a lot of Photoshop work. The Discord thing used to be clunky, but now there’s a web version. It takes a bit to learn, but the output is worth it. If looks matter, start here.

For images where text has to look perfect—social posts, thumbnails, posters—Nano Banana Pro (built on Gemini) finally fixes the text issue. Letters show up clean and readable, in any language you need. Plus, it gets context, which is huge for infographics or product shots. Try it on gemini.google.com—there’s a free version.

Once you’ve got images, turning them into video is the new big thing.

VO3.1 is Google’s answer, and the wild part is it generates audio and video together—sound effects, dialogue, lip syncing, all in one go. Clips go up to a minute, and you can chain them for longer videos, all at 1080p. It works right inside Google Flow or Gemini.

Cling is the other top pick—it shines for turning images into video, and it keeps character faces and styles consistent (up to four reference pics so things don’t warp from frame to frame). Plus, it’s cheaper if you’re churning out lots of variations. So, go with VO3.1 if you want sound and cinematic clips, or Cling for image animation and character stability.

Once you have all these tools for research, visuals, and video, things get scattered fast.

That’s where automation tools matter. 8N is a low-code platform that lets you link everything together—think: Perplexity researches, Claude summarizes, and the result lands where you need it, all hands-free. Make.com is another easy option with tons of visual templates for quick setups. Once you build out workflows, you’ll be stunned how much time you save.

All this tech can make you crazy efficient, but here’s the real trick: it all comes down to how you prompt. The difference between a so-so AI answer and a perfect one is usually just in how you ask. There’s actually a method to it—I boiled down six hours of Google’s prompting wisdom into a quick video. When you’re ready to get more from every tool on this list, check that out. Trust me, your prompts are where the real magic happens.