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OnSpace Mobile App builder: Build AI Apps in minutes
👉https://www.onspace.ai/agentic-app-builder?via=tg_aichads
With OnSpace, you can build AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
- Create app by chatting with AI;
- Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
- Download APK,AAB file, publish to AppStore.
- Add payments and monetize like in-app-purchase and Stripe.
- Functional login & signup.
- Database + dashboard in minutes.
- Full tutorial on YouTube and within 1 day customer service
👉https://www.onspace.ai/agentic-app-builder?via=tg_aichads
With OnSpace, you can build AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
- Create app by chatting with AI;
- Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
- Download APK,AAB file, publish to AppStore.
- Add payments and monetize like in-app-purchase and Stripe.
- Functional login & signup.
- Database + dashboard in minutes.
- Full tutorial on YouTube and within 1 day customer service
❤4👍1
✅ Complete AI (Artificial Intelligence) Roadmap 🤖🚀
1️⃣ Basics of AI
🔹 What is AI?
🔹 Types: Narrow AI vs General AI
🔹 AI vs ML vs DL
🔹 Real-world applications
2️⃣ Python for AI
🔹 Python syntax & libraries
🔹 NumPy, Pandas for data handling
🔹 Matplotlib, Seaborn for visualization
3️⃣ Math Foundation
🔹 Linear Algebra: Vectors, Matrices
🔹 Probability & Statistics
🔹 Calculus basics
🔹 Optimization techniques
4️⃣ Machine Learning (ML)
🔹 Supervised vs Unsupervised
🔹 Regression, Classification, Clustering
🔹 Scikit-learn for ML
🔹 Model evaluation metrics
5️⃣ Deep Learning (DL)
🔹 Neural Networks basics
🔹 Activation functions, backpropagation
🔹 TensorFlow / PyTorch
🔹 CNNs, RNNs, LSTMs
6️⃣ NLP (Natural Language Processing)
🔹 Text cleaning & tokenization
🔹 Word embeddings (Word2Vec, GloVe)
🔹 Transformers & BERT
🔹 Chatbots & summarization
7️⃣ Computer Vision
🔹 Image processing basics
🔹 OpenCV for CV tasks
🔹 Object detection, image classification
🔹 CNN architectures (ResNet, YOLO)
8️⃣ Model Deployment
🔹 Streamlit / Flask APIs
🔹 Docker for containerization
🔹 Deploy on cloud: Render, Hugging Face, AWS
9️⃣ Tools & Ecosystem
🔹 Git & GitHub
🔹 Jupyter Notebooks
🔹 DVC, MLflow (for tracking models)
🔟 Build AI Projects
🔹 Chatbot, Face recognition
🔹 Spam classifier, Stock prediction
🔹 Language translator, Object detector
1️⃣ Basics of AI
🔹 What is AI?
🔹 Types: Narrow AI vs General AI
🔹 AI vs ML vs DL
🔹 Real-world applications
2️⃣ Python for AI
🔹 Python syntax & libraries
🔹 NumPy, Pandas for data handling
🔹 Matplotlib, Seaborn for visualization
3️⃣ Math Foundation
🔹 Linear Algebra: Vectors, Matrices
🔹 Probability & Statistics
🔹 Calculus basics
🔹 Optimization techniques
4️⃣ Machine Learning (ML)
🔹 Supervised vs Unsupervised
🔹 Regression, Classification, Clustering
🔹 Scikit-learn for ML
🔹 Model evaluation metrics
5️⃣ Deep Learning (DL)
🔹 Neural Networks basics
🔹 Activation functions, backpropagation
🔹 TensorFlow / PyTorch
🔹 CNNs, RNNs, LSTMs
6️⃣ NLP (Natural Language Processing)
🔹 Text cleaning & tokenization
🔹 Word embeddings (Word2Vec, GloVe)
🔹 Transformers & BERT
🔹 Chatbots & summarization
7️⃣ Computer Vision
🔹 Image processing basics
🔹 OpenCV for CV tasks
🔹 Object detection, image classification
🔹 CNN architectures (ResNet, YOLO)
8️⃣ Model Deployment
🔹 Streamlit / Flask APIs
🔹 Docker for containerization
🔹 Deploy on cloud: Render, Hugging Face, AWS
9️⃣ Tools & Ecosystem
🔹 Git & GitHub
🔹 Jupyter Notebooks
🔹 DVC, MLflow (for tracking models)
🔟 Build AI Projects
🔹 Chatbot, Face recognition
🔹 Spam classifier, Stock prediction
🔹 Language translator, Object detector
❤1👍1
how to use chatgpt to learn any skill.pdf
11.1 MB
How to Use ChatGpt to Learn Any Skill 3 X Faster 🤯
React ❤️ For More
React ❤️ For More
❤7
🌐 Here’s how I would learn Artificial Intelligence fast in 2025 if I had to start from zero:
1) Understand the basics of AI and its branches. 🧠💡
Learn about:
– Machine Learning (ML)
– Deep Learning (DL)
– Natural Language Processing (NLP)
– Computer Vision
2) Get comfortable with Python programming. 🐍💻
Focus on libraries like NumPy, Pandas, Matplotlib, scikit-learn, TensorFlow, and PyTorch.
3) Learn fundamental math concepts. ➕✖️📊
Brush up on:
– Linear algebra
– Probability & statistics
– Calculus basics
4) Start with simple AI algorithms. 🔍🌳
Explore:
– Search algorithms (A*, BFS, DFS)
– Basic ML models (linear/logistic regression, decision trees)
5) Move to neural networks and deep learning. 🧠⚡
Understand perceptrons, activation functions, CNNs, RNNs.
6) Get hands-on with AI applications. 🤖🛠️
Try building:
– Chatbots (NLP)
– Image classifiers (computer vision)
– Recommendation systems
7) Study reinforcement learning basics. 🎮🎯
Learn concepts like agents, environments, rewards, policies.
8) Explore AI ethics and safety. ⚖️🔒
Understand bias, fairness, transparency, and responsible AI.
9) Build real projects and participate in competitions. 🚀🏆
Use platforms like Kaggle or AI challenges to practice.
10) Learn deployment and scaling of AI models. ☁️🚀
Use cloud services, Docker, APIs to serve AI applications.
💬 Tap ❤️ for more!
#AI #ArtificialIntelligence
1) Understand the basics of AI and its branches. 🧠💡
Learn about:
– Machine Learning (ML)
– Deep Learning (DL)
– Natural Language Processing (NLP)
– Computer Vision
2) Get comfortable with Python programming. 🐍💻
Focus on libraries like NumPy, Pandas, Matplotlib, scikit-learn, TensorFlow, and PyTorch.
3) Learn fundamental math concepts. ➕✖️📊
Brush up on:
– Linear algebra
– Probability & statistics
– Calculus basics
4) Start with simple AI algorithms. 🔍🌳
Explore:
– Search algorithms (A*, BFS, DFS)
– Basic ML models (linear/logistic regression, decision trees)
5) Move to neural networks and deep learning. 🧠⚡
Understand perceptrons, activation functions, CNNs, RNNs.
6) Get hands-on with AI applications. 🤖🛠️
Try building:
– Chatbots (NLP)
– Image classifiers (computer vision)
– Recommendation systems
7) Study reinforcement learning basics. 🎮🎯
Learn concepts like agents, environments, rewards, policies.
8) Explore AI ethics and safety. ⚖️🔒
Understand bias, fairness, transparency, and responsible AI.
9) Build real projects and participate in competitions. 🚀🏆
Use platforms like Kaggle or AI challenges to practice.
10) Learn deployment and scaling of AI models. ☁️🚀
Use cloud services, Docker, APIs to serve AI applications.
💬 Tap ❤️ for more!
#AI #ArtificialIntelligence
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✅ Useful AI Tools You Should Know 🤖💻
🎙️ Voiceovers & AI Music
1️⃣ ElevenLabs
2️⃣ Speechma
3️⃣ Natural Readers
4️⃣ Suno AI
🎥 Video AI Tools
5️⃣ Kling AI
6️⃣ HaizouAI Minimax
7️⃣ Pika Labs
8️⃣ RunwayML
9️⃣ Heygen AI
🔟 OpenMagic
🖼️ Image Creation
1️⃣2️⃣ Midjourney AI
1️⃣3️⃣ Leonardo AI
1️⃣4️⃣ Microsoft Image Creator
1️⃣5️⃣ Ideogram
1️⃣6️⃣ Rendernet AI
1️⃣7️⃣ Dzine AI
1️⃣8️⃣ Krea AI
1️⃣9️⃣ Freepik AI
📊 Presentation Tools
2️⃣1️⃣ Tome AI
2️⃣2️⃣ Scribe AI
2️⃣3️⃣ Gamma AI
🎨 Graphic Design & Image Editors
2️⃣4️⃣ Canva
2️⃣5️⃣ Kittl
2️⃣6️⃣ Photopea
2️⃣7️⃣ ImgUpscaler
🛠️ Multipurpose AI Tools
2️⃣8️⃣ Grok AI
2️⃣9️⃣ DeepSeek AI
3️⃣0️⃣ Perplexity AI
3️⃣1️⃣ Google AI Studio
🌐 AI Website Builders
3️⃣2️⃣ 10Web
3️⃣3️⃣ ChatSimple
3️⃣4️⃣ N8N
3️⃣5️⃣ Zapier
3️⃣6️⃣ ChatBase
🏢 AI Tools for Businesses
3️⃣7️⃣ Notion
3️⃣8️⃣ BeaconsAI
3️⃣9️⃣ Beehiiv
💬 Tap ❤️ for more!
🎙️ Voiceovers & AI Music
1️⃣ ElevenLabs
2️⃣ Speechma
3️⃣ Natural Readers
4️⃣ Suno AI
🎥 Video AI Tools
5️⃣ Kling AI
6️⃣ HaizouAI Minimax
7️⃣ Pika Labs
8️⃣ RunwayML
9️⃣ Heygen AI
🔟 OpenMagic
🖼️ Image Creation
1️⃣2️⃣ Midjourney AI
1️⃣3️⃣ Leonardo AI
1️⃣4️⃣ Microsoft Image Creator
1️⃣5️⃣ Ideogram
1️⃣6️⃣ Rendernet AI
1️⃣7️⃣ Dzine AI
1️⃣8️⃣ Krea AI
1️⃣9️⃣ Freepik AI
📊 Presentation Tools
2️⃣1️⃣ Tome AI
2️⃣2️⃣ Scribe AI
2️⃣3️⃣ Gamma AI
🎨 Graphic Design & Image Editors
2️⃣4️⃣ Canva
2️⃣5️⃣ Kittl
2️⃣6️⃣ Photopea
2️⃣7️⃣ ImgUpscaler
🛠️ Multipurpose AI Tools
2️⃣8️⃣ Grok AI
2️⃣9️⃣ DeepSeek AI
3️⃣0️⃣ Perplexity AI
3️⃣1️⃣ Google AI Studio
🌐 AI Website Builders
3️⃣2️⃣ 10Web
3️⃣3️⃣ ChatSimple
3️⃣4️⃣ N8N
3️⃣5️⃣ Zapier
3️⃣6️⃣ ChatBase
🏢 AI Tools for Businesses
3️⃣7️⃣ Notion
3️⃣8️⃣ BeaconsAI
3️⃣9️⃣ Beehiiv
💬 Tap ❤️ for more!
❤10👍1
7 No-Code tools for startups:
1. Canva — Graphics
2. Notion — Organize
3. Webflow — Website
4. Beehiiv — Newsletter
5. Senja — Testimonials
6. CopyAI — Copywriting
7. ChatGPT — Knowledge
1. Canva — Graphics
2. Notion — Organize
3. Webflow — Website
4. Beehiiv — Newsletter
5. Senja — Testimonials
6. CopyAI — Copywriting
7. ChatGPT — Knowledge
❤3🕊2
ai notes.pdf
31.3 MB
AI Notes PDF is here 📚✍️
Inside you’ll get:
🧠 AI & Machine Learning basics
📊 Important algorithms
🌍 Real-world examples
📝 Quick revision notes
Perfect for beginners & freshers.
React "❤️" For More
Inside you’ll get:
🧠 AI & Machine Learning basics
📊 Important algorithms
🌍 Real-world examples
📝 Quick revision notes
Perfect for beginners & freshers.
React "❤️" For More
❤12
AI Developers — finally something serious.
A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B platform on April 1st, 2026.
Not a freelance marketplace.
Not an agency network.
A verified AI builder network.
Only a few spots are still open.
If you can actually ship outcomes like:
• RAG / Agents in production
• Automations + API integrations
• FastAPI tools, internal apps, backend systems
→ 30-sec video
https://www.youtube.com/watch?v=v3lNRgAd6AE
→ apply now (free + anonymous).
http://assesment.brainlancer.com/?src=telegram
Step 1: 5 min form
Step 2: 15–20 min AI interview
Step 3: short call → early access
👉 Brainlancer.com (Landingpage)
👉 https://www.linkedin.com/in/soner-catakli/ (CEO)
A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B platform on April 1st, 2026.
Not a freelance marketplace.
Not an agency network.
A verified AI builder network.
Only a few spots are still open.
If you can actually ship outcomes like:
• RAG / Agents in production
• Automations + API integrations
• FastAPI tools, internal apps, backend systems
→ 30-sec video
https://www.youtube.com/watch?v=v3lNRgAd6AE
→ apply now (free + anonymous).
http://assesment.brainlancer.com/?src=telegram
Step 1: 5 min form
Step 2: 15–20 min AI interview
Step 3: short call → early access
👉 Brainlancer.com (Landingpage)
👉 https://www.linkedin.com/in/soner-catakli/ (CEO)
❤5
AI Expert Roadmap
Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert.
What is actually pretty cool is that you can click in any part of roadmap and learn more about mentioned concept!
https://i.am.ai/roadmap/
Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert.
What is actually pretty cool is that you can click in any part of roadmap and learn more about mentioned concept!
https://i.am.ai/roadmap/
❤2
Top 5 Super Fast LLM API Providers
1️⃣ Cerebras
Extreme throughput using wafer-scale hardware architecture.
Best for high-QPS workloads, long generations, and maximum tokens per second.
2️⃣ Groq
Ultra-low time to first token with deterministic execution.
Perfect for chat apps, agents, copilots, and real-time responsiveness.
3️⃣ SambaNova
Strong sustained performance with reconfigurable dataflow architecture.
Ideal for Llama-family deployments needing stable, high throughput.
4️⃣ Fireworks AI
Software-first optimization with quantization and speculative decoding.
Reliable, consistent speed across multiple large model families.
5️⃣ Baseten
Highly optimized serving with strong GLM-4.7 performance.
Great choice when GLM speed matters more than peak GPT throughput.
1️⃣ Cerebras
Extreme throughput using wafer-scale hardware architecture.
Best for high-QPS workloads, long generations, and maximum tokens per second.
2️⃣ Groq
Ultra-low time to first token with deterministic execution.
Perfect for chat apps, agents, copilots, and real-time responsiveness.
3️⃣ SambaNova
Strong sustained performance with reconfigurable dataflow architecture.
Ideal for Llama-family deployments needing stable, high throughput.
4️⃣ Fireworks AI
Software-first optimization with quantization and speculative decoding.
Reliable, consistent speed across multiple large model families.
5️⃣ Baseten
Highly optimized serving with strong GLM-4.7 performance.
Great choice when GLM speed matters more than peak GPT throughput.
❤4👍1🔥1