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Guri Singh Profile picture
@heygurisingh
Jul 23 • 20 tweets • 11 min read • Read on X
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🚨 BREAKING: Microsoft just dropped an 18-episode series called "Generative AI for Beginners".

Ideal for beginners, developers, and AI enthusiasts looking to build a solid foundation.

Here’s a breakdown (Save this👇):🧵 Image
Episode 1: Introduction to Generative AI and LLMs

Carlotta Castelluccio discusses Generative AI and large language models, explaining their mechanisms and their transformative impact on various industries, particularly education.

learn.microsoft.com/en-us/shows/ge…Image
Episode 2: Exploring and Comparing Different LLMs

Carlotta Castelluccio and Pablo Lopes talk about different big language models, how they are used in different industries, and how businesses can take advantage of them.

learn.microsoft.com/en-us/shows/ge…Image
Episode 3: Using Generative AI Responsibly

Talks about why it's important to use AI responsibly in apps that create content.

It explains how to make sure AI outputs are fair and don't cause harm and gives steps to use AI responsibly.

learn.microsoft.com/en-us/shows/ge…Image
Episode 4: Understanding Prompt Engineering Fundamentals

Nitya Narasimhan explains the basics of prompt engineering, showing how to create good prompts and improve them to get better results from generative AI.

learn.microsoft.com/en-us/shows/ge…Image
Episode 5: Creating Advanced Prompts

Chris Noring explores advanced techniques for creating prompts to make AI responses better. He shows how these methods work with real-life examples.

learn.microsoft.com/en-us/shows/ge…Image
Episode 6: Building Text Generation Applications

–Explains the main ideas of creating text with OpenAI and teaches you how to make a text-generation app step by step, changing settings like prompt, temperature, and tokens to get the result you want.

learn.microsoft.com/en-us/shows/ge…Image
Episode 7: Building Chat Applications

– Jasmine Greenaway shows how to build and add smart chat apps into systems we already use. She covers how to customize them, make them work better, and keep an eye on how they perform.

learn.microsoft.com/en-us/shows/ge…Image
Episode 8: Building Search Apps (Vector Databases)

– Dave Glover talks about making smart search apps using vector embeddings. In this episode, he shows how to build a search app for an education startup's video library. The app helps find the right video parts by using and searching through text embeddings.

learn.microsoft.com/en-us/shows/ge…Image
Episode 9: Building Image Generation Applications

–Chris Noring and Pablo Lopes show how to create pictures from text descriptions using models like DALL-E and MidJourney, and guide you through making an image-generation app step by step.

learn.microsoft.com/en-us/shows/ge…Image
Episode 10: Building Low-Code AI Applications

– Someleze Diko explains how to use low-code tools like Microsoft Power Platform with AI. This episode talks about using AI features such as Copilot and AI Builder to make apps and workflows with AI, without needing a lot of coding skills.

learn.microsoft.com/en-us/shows/ge…Image
Episode 11: Integrating External Applications with Function Calling

– Korey Stegared-Pace talks about using function calling with large language models (LLMs). He explains what function calling is, shows how to set up an OpenAI function call, and how to use it in an app to make AI do more things.

learn.microsoft.com/en-us/shows/ge…Image
Episode 12: Designing UX for AI Applications

– Bethany Jepchumba talks about how to create user-friendly designs for apps that use AI. She highlights the need to build trust and be clear with users to make sure AI is used responsibly. The focus is on knowing what users need and designing AI tools that allow for teamwork and feedback.

learn.microsoft.com/en-us/shows/ge…Image
Episode 13: Securing Your Generative AI Applications

– Explains the security issues for AI systems. Korey Stegared-Pace talks about common risks and dangers to AI programs and shares ways and tips to keep AI systems safe from these dangers.

learn.microsoft.com/en-us/shows/ge…Image
Episode 14: The Generative AI Application Lifecycle

– Pablo Lopes dives into the dynamic world of the generative AI lifecycle—where innovation never rests. Discover the shift from traditional machine learning to cutting-edge large language model operations. This session unveils the essential tools, metrics, and strategies to elevate and sustain AI applications.

learn.microsoft.com/en-us/shows/ge…Image
Episode 15: Retrieval Augmented Generation (RAG) and Vector Databases

– Bethany Jepchumba explores how to connect large language models (LLMs) with your own data using Retrieval Augmented Generation (RAG). The lesson covers what RAG is, why it's helpful, how to make and use a vector database for storing information, and how to add RAG to an app.

learn.microsoft.com/en-us/shows/ge…Image
Episode 16: Open Source Models and Hugging Face

– Explores the world of open-source large language models. Korey Stegared-Pace talks about why open-source LLMs can be better than private ones and shows how to find and use open models, like on Hugging Face or Azure AI Studio. Also includes tips on how to fine-tune these open models.

learn.microsoft.com/en-us/shows/ge…Image
Episode 17: AI Agents – This section introduces AI Agents, systems where large language models (LLMs) perform tasks using tools or frameworks.

Korey Stegared-Pace explains what AI agents are, examines four distinct agent frameworks, highlights what makes each one unique, and discusses the optimal scenarios for using these agent-based methods in developing AI applications.

learn.microsoft.com/en-us/shows/ge…Image
Episode 18: Fine-Tuning LLMs

– Nitya Narasimhan talks about how to make pre-trained language models work better for certain tasks. In this last part, she explains what fine-tuning is, when it's helpful, and how to fine-tune a large language model, while also mentioning the limits of fine-tuning.

learn.microsoft.com/en-us/shows/ge…Image
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More from @heygurisingh

Guri Singh Profile picture
Jul 23
ChatGPT is a MONEY-printing machine.

You can make more than $1000 per day.

Here are 10 ways you can become RICH using ChatGPT:
1. Sell digital products:

Ask ChatGPT for ideas on things like e-books, info guides, tutorials, and courses.

You can sell these to make over $100 a day.
2. Lead Generation:

Many companies create engaging materials to attract interest in their products or services.

You can use ChatGPT to assist these companies by generating sales leads.
Read 13 tweets
Guri Singh Profile picture
Jul 22
10 ChatGPT prompts so powerful and useful, they feel illegal to use:
1. Learn anything from a 20-year expert even if you're clueless

"Pretend you are an expert with 20 years of experience in {industry/topic}. Break down the core principles a total beginner must understand. Use analogies, step-by-step logic, and simplify everything like I’m 5."
2. Brutally honest thought partner to sharpen your thinking

"Act as my personal thought partner. I’ll describe {my idea/problem}, and I want you to question every assumption, point out blind spots, and help me evolve it into something 10x better."
Read 13 tweets
Guri Singh Profile picture
Jul 21
Gemini 2.5 Pro is dangerously good.

But 99% of people are sleeping on what it can actually do.

I’ve used it to build apps, generate content, automate deep research, and more.

Here are 5 ways to use Gemini 2.5 Pro that feel like cheating: Image
1. Marketing Automation

Marketing is expensive and slow.
Hiring a pro team can cost $10k/month.
Now I use Gemini to create entire marketing systems fast.

Here’s my marketing automation prompt:

"You are now my AI marketing strategist.

Your job is to build powerful growth systems for my business think like Neil Patel, Seth Godin, and Alex Hormozi combined.

I want you to:

Build full-funnel strategies (top to bottom)

Write ad copy, landing pages, and email sequences

Recommend automation tools, lead magnets, and channel tactics

Prioritize fast ROI, data-driven decisions, and creative thinking

Always ask clarifying questions before answering. Think long-term and execute short-term.

Do marketing like experts do. Ask: “What would Hormozi, Seth, or Neil do?"

Copy the prompt and paste it in Gemini new chat.

After that, start asking it questions.
2. Writing Content (Blogs + Social)

Good ghostwriters are $5k/month (minimum).
I needed content yesterday but on a budget.
Gemini writes authority-level blogs, tweets, and posts in minutes.

My go-to content prompt:

"You are now my AI ghostwriter and content machine.

Write like a mix of Naval Ravikant, Ann Handley, and David Ogilvy.

Your job is to:

Write viral threads, blogs, and newsletters

Break down ideas clearly, with hooks and storytelling

Create repurposable content across Twitter, LinkedIn, and blogs

Always follow this rule: Clarity beats cleverness.

Act like a content genius who asks: “How would Naval tweet this? Would Ogilvy approve this headline?”
Read 7 tweets
Guri Singh Profile picture
Jul 19
R.I.P McKinsey.

You don’t need a $300k consultant anymore.

You can now run full competitive market analysis using Grok 4.

Here are the exact 3 mega-prompts I use to replicate McKinsey-style insights for free: Image
Let me tell you what McKinsey consultants actually do:

1. Analyze industry trends and competitive dynamics
2. Benchmark companies and products
3. Identify strategic risks and opportunities
4. Package it all in fancy slides and charge 6 figures

But guess what?

AI can now do 90% of that instantly.

Let me show you how:
We use these 3 mega prompts for different tasks:

1/ The Consultant Framework

Prompt: "You are a world-class strategy consultant trained by McKinsey, BCG, and Bain. Act as if you were hired to provide a $300,000 strategic analysis for a client in the [INDUSTRY] sector.

Here is your mission:

1. Analyze the current state of the [INDUSTRY] market.
2. Identify key trends, emerging threats, and disruptive innovations.
3. Map out the top 3-5 competitors and benchmark their business models, strengths, weaknesses, pricing, distribution, and brand positioning.
4. Use frameworks like SWOT, Porter’s Five Forces, and strategic value chain analysis to assess risks and opportunities.
5. Provide a one-page strategic brief with actionable insights and recommendations for a hypothetical company entering or growing in this space.

Output everything in concise bullet points or tables. Make it structured and ready to paste into slides. Think like a McKinsey partner preparing for a C-suite meeting.

Industry: [INSERT INDUSTRY OR MARKET HERE]"
Read 7 tweets
Guri Singh Profile picture
Jul 16
These 13 free courses will teach you more about AI agents than any university degree.

From prompt engineering to automation, everything’s included.

Here’s the breakdown + links (save this) ↓
1. Multi-AI Agent Systems with Crewai :

Build swarms of AI agents that collaborate to solve real-world problems. deeplearning.ai/short-courses/…
2. Foundations of Prompt Engineering (AWS):

Craft prompts that make your agents smarter, faster, and more reliable. skillbuilder.aws/learn/VF6H4SZ1…Image
Read 15 tweets
Guri Singh Profile picture
Jul 14
Grok 4 is terrifyingly powerful.

But most people don't know how to use it.

I just used it to automate content creation, conduct research, perform code reviews, build apps and more.

Here are 10 ways to use Grok 4 and automate your boring work: Image
1. Market research

Here's the prompt I used for market research automation:

"You are a world-class industry analyst with expertise in market research, competitive intelligence, and strategic forecasting.

Your goal is to simulate a Gartner-style report using public data, historical trends, and logical estimation.

For each request:

• Generate clear, structured insights based on known market signals.
• Build data-backed forecasts using assumptions (state them).
• Identify top vendors and categorize them by niche, scale, or innovation.
• Highlight risks, emerging players, and future trends.

Be analytical, not vague. Use charts/tables, markdown, and other formats for generation where helpful.

Be explicit about what’s estimated vs known.

Use this structure:

1. Market Overview
2. Key Players
3. Forecast (1–3 years)
4. Opportunities & Risks
5. Strategic Insights""
2. Build complete websites / apps

Here's the prompt I used:

"Name Your Applet:
Describe What Your App Does:

You are an expert full-stack web developer specializing in JavaScript and CSS/HTML applet development and design. Your task is to develop expert-level code for this project.

Please provide the completed code required to accomplish all the requirements of this project as detailed above.

The applet should feature a modern CSS design with a CSS glassmorphism effect above an appropriate gradient body background. Use flex-direction: column unless your app needs a different layout. Include an h1 title tag above the app container. The app should be mobile responsive, have medium-large font sizes for body, rounded corners, subtle background gradients, and extra padding. The app should be centered on the page. Add a centered copyright ''©2025 {Applet Name}'' below the app container.

Make sure your code is clean and includes concise and professional code comment documentation"
Read 12 tweets

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