MASTER AI IN 16 HOURS AND BECOME IRREPLACEABLE BEFORE 2025 ENDS!

The spooky season is here—candies, costumes, and fear is everywhere.
But the real nightmare? It's not ghosts—it's job loss
Over 71% of people believe AI will take their jobs by 2025. The anxiety is real: Are you good enough? Fast enough? Smart enough?

But here's your treat this Halloween—a real solution to end the fear

Join the online 2-Day LIVE AI MASTERMIND by Outskill - a hands-on intensive training designed to make you an AI powered professional who can learn, earn and Build with AI.

Usually $395, but as a part of their halloween sale 🎃, you can get in for completely FREE!

Rated 9.8/10 by trustpilot– an opportunity that makes you an AI Generalist who can build, solve & work on anything with AI, Instead of fearing it.

In just 16 hours & 5 sessions, you will:

✅ Build AI agents that save up to 20+ hours weekly and turn time into money
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✅ Launch your $10K+ AI consulting business in 90 days or less
✅ Automate 80% of your workload and scale your income without working more hours

Learn strategies used by biggest giants like google, amazon, microsoft from their practitioners 🚀🔥

🧠Live sessions- Saturday and Sunday
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🎁 You will also unlock $5000+ in AI bonuses: prompt bibles 📚, roadmap to monetize AI 💰 and your personalised AI toolkit builder ⚙️  — all free when you attend!

Join in now, (we have limited free seats! )

Why does the same AI tool sometimes give you a perfect answer, and other times just... miss the mark? Context ≠ Prompt.

It’s not just about writing better prompts. It’s about building better context.

I’ve been exploring Context Engineering, I put this this beginner-friendly guide breaks it down clearly how to set up the right input environment so AI tools actually understand what we want

A few takeaways that stood out:

✔️ Context ≠ Prompt. It's everything around it: user data, tone, goals, memory, timing, tools.
✔️ Good context = more accurate, helpful, and personalized responses.
✔️ There are 4 layers to work with: User, Temporal, Environmental, and Task context.
✔️ Context Engineering is already being used in AI agents, support bots, copilots, and more.
✔️ It’s not just about more data — it’s about the right data, in the right structure.

This guide also compares Prompt vs Context Engineering and shares real tools you can try like LangChain, RAG, and OpenAI Assistants API.

If you're building with LLMs or even just using AI daily — this is something worth learning.

Want the full guide? I’ve got you covered.

How are you currently applying context in your AI workflows?

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Here is how it works:
* Fill out the form to qualify
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* Approved participants get a custom pair of Nike Air Force 1s

Why teams are taking this call:
* Leave Redshift complexity behind
* Better performance and manageability, open format flexibility, lower costs that is built for the AI Era
* Score some fresh kicks

We had fun making the video. If this is your stack, grab your slot now.

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📢 Want to sponsor or support this newsletter? Reach out and let's collaborate! 🚀

Best,

Ravit Jain

Founder & Host of The Ravit Show