π How to Start Learning AI in 2026 π€π₯
π§ STEP 1: Learn Programming Basics
β Start with Python
β Variables, Loops & Functions
β OOP Concepts
β APIs & JSON Basics
π STEP 2: Learn Data Handling
β Data Cleaning
β Data Analysis
β Data Visualization
β CSV, Excel & APIs
π Libraries to Learn:
β Pandas
β NumPy
β Matplotlib
π STEP 3: Understand Machine Learning
β Supervised Learning
β Unsupervised Learning
β Model Training
β Prediction Models
π Frameworks to Learn:
β Scikit-learn
β XGBoost
π§ STEP 4: Learn Deep Learning
β Neural Networks
β CNN & Transformers
β Image & Text AI
β Fine-Tuning Models
π Frameworks to Learn:
β TensorFlow
β PyTorch
β Keras
π¬ STEP 5: Learn Generative AI
β Prompt Engineering
β AI Chatbots
β AI Agents
β RAG Applications
π Tools to Learn:
β Chat
β LangChain
β Hugging Face Transformers
β Ollama
βοΈ STEP 6: Learn Deployment
β APIs with FastAPI
β Docker Basics
β Cloud Deployment
β AI App Hosting
π Platforms to Learn:
β FastAPI
β Docker
β AWS
π₯ STEP 7: Build Real Projects
β AI Resume Analyzer
β AI Chatbot
β AI Voice Assistant
β Recommendation System
β AI SaaS Product
π¬ Tap β€οΈ if this helped you!
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