How to Learn AI Skills for Jobs

 

AI Skills  How to Learn

1. Start with the Foundations

📌 Core Skills: Python, Math (Linear Algebra, Calculus, Stats), ML Basics

• Free Courses:

  • Python for Everybody (Coursera)

  • Mathematics for ML (Imperial College London)

  • Google’s Machine Learning Crash Course

• Books:

  • "Python Machine Learning" by Sebastian Raschka

  • "Hands-On Machine Learning with Scikit-Learn & TensorFlow" by Aurélien Géron

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2. Dive into Machine Learning & Deep Learning

📌 Key Skills: Supervised/Unsupervised Learning, Neural Networks, NLP, Computer Vision

• Free Courses:

  • Andrew Ng’s ML Course (Stanford)

  • Fast.ai Practical Deep Learning

  • Deep Learning Specialization (DeepLearning.AI)

• Tools to Practice:

  • Kaggle (for datasets & competitions)

  • Google Colab (free GPU for training models)

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3. Master AI Engineering & Deployment (MLOps)

📌 Key Skills: Model Deployment, Docker, Kubernetes, Cloud AI

• Courses:

  • MLOps Zoomcamp (DataTalks.Club)

  • AWS Machine Learning (Free Tier)

• Tools:

  • TensorFlow Serving, Flask, FastAPI

  • GitHub Actions for CI/CD

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4. Specialize in High-Demand AI Domains

Domain	Skills to Learn	Resources
NLP	Transformers, GPT, BERT, LangChain	Hugging Face Course
Computer Vision	YOLO, OpenCV, GANs	CS231n (Stanford)
AI in Healthcare	Medical Imaging, Drug Discovery	AI for Medicine (DeepLearning.AI)
Robotics	ROS, Reinforcement Learning	Robotics Nanodegree (Udacity)

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5. Work on Real Projects (Portfolio Building)

• Beginner:

  • Predict house prices (Kaggle)

  • Build a chatbot (Dialogflow/Rasa)

• Intermediate:

  • Fine-tune LLMs (Llama 2, Mistral)

  • Deploy an AI model on AWS/Azure

• Advanced:

  • Contribute to open-source AI (Hugging Face, PyTorch)

  • Publish AI research (ArXiv, Medium)

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6. Join AI Communities & Stay Updated

• Forums:

  • r/MachineLearning (Reddit)

  • AI Alignment Forum

• Newsletters:

  • The Batch (DeepLearning.AI)

  • AlphaSignal (AI Research)

  • Blog

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7. Earn Certifications (Optional but Helpful)

Certification	Provider
Google TensorFlow Developer	Google
Microsoft Azure AI Engineer	Microsoft
NVIDIA Deep Learning Institute	NVIDIA

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Final Tips for Success

✅ Learn by doing – Build projects & compete on Kaggle.
✅ Follow AI leaders – Andrej Karpathy, Yann LeCun, Andrew Ng.
✅ Stay adaptable – AI evolves fast; keep up with trends.