Where do I start learning AI as a beginner?

Start with Python programming basics, then learn statistics and probability, followed by machine learning concepts using Scikit-learn, and finally deep learning with TensorFlow or PyTorch.

How long does it take to learn AI?

With consistent effort of 3-4 hours per day, you can build a solid AI foundation in 4-6 months. Learning the basics enough to get a job usually takes 6-12 months.

Is maths required for learning AI?

Basic mathematics including statistics, probability, and linear algebra is helpful for understanding ML algorithms. However, beginners can start with Python and libraries first, and learn the math alongside.

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Artificial Intelligence Roadmap for Beginners

A structured 5-step path from zero to job-ready AI engineer.

Python Programming

4-6 weeks

Learn Python basics — variables, loops, functions, and data structures. Python is the #1 language for AI and machine learning.

Variables & Data TypesLoops & ConditionsFunctions & ModulesNumPy & Pandas basics

Math Fundamentals

2-4 weeks

Build understanding of statistics, probability, and linear algebra. These concepts are the foundation of machine learning algorithms.

Statistics & ProbabilityLinear Algebra basicsCalculus fundamentalsData Analysis

Machine Learning

6-8 weeks

Learn core ML concepts — supervised learning, regression, classification, and model evaluation using Scikit-learn.

Supervised vs Unsupervised LearningRegression & ClassificationModel Evaluation MetricsScikit-learn library

Deep Learning & Neural Networks

6-8 weeks

Dive into deep learning frameworks, neural network architectures, and advanced topics like CNNs and RNNs.

Neural Networks basicsTensorFlow & PyTorchCNNs for Image RecognitionNLP fundamentals

AI Projects & Portfolio

Ongoing

Build real AI projects that demonstrate your skills. Projects are essential for getting hired as an AI engineer.

Image ClassifierChatbot developmentRecommendation SystemSentiment Analysis

Follow This Roadmap with Expert Guidance

Shifttotech's AI program covers this full roadmap with live mentorship, hands-on projects, and placement support.

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Artificial Intelligence Roadmap for Beginners

Python Programming

Math Fundamentals

Machine Learning

Deep Learning & Neural Networks

AI Projects & Portfolio

Follow This Roadmap with Expert Guidance

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