Google Gemini is the smartest AI right now.
But 90% of people prompt it like ChatGPT.
That's why I made the Gemini Mastery Guide:
→ How Gemini thinks differently
→ Prompts built for Gemini
→ 2000+ AI Prompts
Comment "Gemini" and I'll DM it free.@David263146 Follow me🙏
Google Gemini is the smartest AI right now.
But 90% of people prompt it like ChatGPT.
That's why I made the Gemini Mastery Guide:
→ How Gemini thinks differently
→ Prompts built for Gemini
→ 2000+ AI Prompts
Comment "Gemini" and I'll DM it free.@David263146 Follow me🙏
Google Gemini is the smartest AI right now.
But 90% of people prompt it like ChatGPT.
That's why I made the Gemini Mastery Guide:
→ How Gemini thinks differently
→ Prompts built for Gemini
→ 2000+ AI Prompts
Comment "Gemini" and I'll DM it free.@David263146 Follow me🙏
College teaches subjects.
The internet teaches leverage.
These are 10 websites every student should know before graduating:
1. https://t.co/f6uZnhFiub — Turn your textbooks and notes into an AI tutor.
2. https://t.co/uObp1Sywxq — Search research papers with AI-powered answers.
3. https://t.co/2fIr5xYVpX — Massive library of books and academic resources.
4. https://t.co/SMppkUWTPs — AI research assistant with cited sources.
5. https://t.co/2edUcznObF — Organize references and generate citations automatically.
6. https://t.co/AiX6YOdlYv — Solve math, science, and engineering problems step by step.
7. https://t.co/XR1Kyhzydd — Student-focused job and internship platform.
8. https://t.co/YiVYCXticg — Discover scholarships matched to your profile.
9. https://t.co/uODSEektBl — One of the best free courses on effective learning.
10. https://t.co/zmvnWc6ZHx — Thousands of professional courses, often free through universities.
The students with the biggest advantage aren't always the smartest.
They simply discover better tools sooner.
Bookmark this for later. 🎓
🚨Anthropic has one of the most powerful learning tools ever created.
But almost nobody uses it properly.
Here are 7 Claude prompts that will help you learn way faster.👇👇
We’ve spent the last two years bringing our work to AI.
OpenTag flips the workflow by bringing AI directly into GitHub and Slack. Less context switching, more getting things done.
Love seeing more open-source infrastructure like this.
Most people want to become an AI Engineer.
Very few know what to learn... and in what order.
Here’s a roadmap that takes you from beginner → production-ready AI Engineer 👇
1️⃣ Master the foundations
• Python programming
• Data structures & algorithms
• Linear algebra
• Probability & statistics
• SQL basics
Without this, everything else becomes harder.
2️⃣ Learn data engineering
• Data collection
• Cleaning & preprocessing
• EDA
• Feature engineering
• Data visualization
AI is only as good as the data behind it.
3️⃣ Understand machine learning
• Supervised learning
• Unsupervised learning
• Model evaluation
• Cross-validation
• Scikit-learn
Learn how models actually make decisions.
4️⃣ Dive into deep learning
• Neural networks
• Backpropagation
• Activation functions
• PyTorch / TensorFlow
This is where modern AI starts.
5️⃣ Learn NLP
• Tokenization
• Embeddings
• Transformers
• Fine-tuning
The foundation of ChatGPT, Claude, and Gemini.
6️⃣ Explore computer vision
• CNNs
• Object detection
• Image segmentation
• OpenCV
Teach machines to understand images.
7️⃣ Master GenAI & LLMs
• Prompt engineering
• RAG
• Fine-tuning
• Vector databases
• LangChain & LlamaIndex
This is the highest-leverage skill stack today.
8️⃣ Learn MLOps
• FastAPI
• Docker
• CI/CD
• Monitoring
• MLflow
Because models are useless if they can't be deployed.
9️⃣ Study AI system design
• Scaling strategies
• Real-time inference
• Caching
• Cost optimization
The difference between demos and production systems.
🔟 Stay ahead
• Agentic AI
• Multimodal models
• AutoML
• AI safety
• Latest research
The field changes every week.
💡 Reality check:
Most people spend months consuming AI content.
The top 1% spend that time building projects.
Build. Deploy. Iterate. Repeat.
📌 Save this roadmap
🔁 Repost for aspiring AI engineers
Setup
Step 1: Open Excel, Word, or PowerPoint.
Step 2: Click Add-ins on the Home tab.
Step 3: Search for "Claude".
Step 4: Click Add, sign in, and open the sidebar.
Step 5: Select "Claude 4.7 Sonnet" or "Opus" for complex tasks.
Step 6: Upload your file or prompt Claude to analyze the open document.
Content creators, this is for you 👇
10 AI tools that can completely transform your workflow:
🎬 https://t.co/uPc9Ybw8NZ – Video editing
🎙️ https://t.co/bg862stKeI – Transcription
🎨 @midjourney – AI image generation
✍️ @CohesiveAI – Content writing
🌐 Dora – Website builder
🎥 @riverside – Video creation
🗣️ Vozo – AI dubbing
📢 Aimensa – AI marketing
📸 @flair – Product photos
📝 @HyperWriteAI – AI writing
AI isn’t replacing creators.
It’s helping creators scale faster.
Which tool do you use most?
#AITools #ContentCreation #AI
Claude + Instagram = Money Machine 💸
No camera. No editing. No showing your face.
I'm sharing the 12 exact prompts I use to generate daily virals and make the maximum money possible ⬇️
My aunt has had a Costco Executive Membership for 4 years.
She thought it just meant "slightly bigger discount at checkout."
I pulled up her account. She had over $1,300/year sitting inside a membership she already pays for — untouched.
Here's everything she didn't know:
Most people want to become an AI Engineer.
Very few know what to learn... and in what order.
Here’s a roadmap that takes you from beginner → production-ready AI Engineer 👇
1️⃣ Master the foundations
• Python programming
• Data structures & algorithms
• Linear algebra
• Probability & statistics
• SQL basics
Without this, everything else becomes harder.
2️⃣ Learn data engineering
• Data collection
• Cleaning & preprocessing
• EDA
• Feature engineering
• Data visualization
AI is only as good as the data behind it.
3️⃣ Understand machine learning
• Supervised learning
• Unsupervised learning
• Model evaluation
• Cross-validation
• Scikit-learn
Learn how models actually make decisions.
4️⃣ Dive into deep learning
• Neural networks
• Backpropagation
• Activation functions
• PyTorch / TensorFlow
This is where modern AI starts.
5️⃣ Learn NLP
• Tokenization
• Embeddings
• Transformers
• Fine-tuning
The foundation of ChatGPT, Claude, and Gemini.
6️⃣ Explore computer vision
• CNNs
• Object detection
• Image segmentation
• OpenCV
Teach machines to understand images.
7️⃣ Master GenAI & LLMs
• Prompt engineering
• RAG
• Fine-tuning
• Vector databases
• LangChain & LlamaIndex
This is the highest-leverage skill stack today.
8️⃣ Learn MLOps
• FastAPI
• Docker
• CI/CD
• Monitoring
• MLflow
Because models are useless if they can't be deployed.
9️⃣ Study AI system design
• Scaling strategies
• Real-time inference
• Caching
• Cost optimization
The difference between demos and production systems.
🔟 Stay ahead
• Agentic AI
• Multimodal models
• AutoML
• AI safety
• Latest research
The field changes every week.
💡 Reality check:
Most people spend months consuming AI content.
The top 1% spend that time building projects.
Build. Deploy. Iterate. Repeat.
📌 Save this roadmap
🔁 Repost for aspiring AI engineers