Beginner’s Step-By-Step Guide to Studying Artificial Intelligence

Beginner’s Step-By-Step Guide to Studying Artificial Intelligence

AI is changing different industries and opening up new employment opportunities. If you have started learning AI online and want to start your AI career, let’s look at a basic roadmap you can follow for 2025.

1. Get to know the core ideas behind AI.

What is AI all about?

Get familiar with AI, machine learning, deep learning and what they are used for in reality.

Recommended Resources:

The Coursera course called Google’s AI for Everyone

The course covers elements of AI (Online).

2. Ensure that You Build A Strong Basis for Understanding Math & Programming

Mathematics:

Pay special attention to linear algebra, probability, statistics and calculus.

Programming:

Make sure you learn Python since it is the most used language in AI.

Recommended Resources:

Khan Academy Math offers its online courses.

Python for Everybody, hosted by Coursera

3. Study the main ideas in the area of Machine Learning.

Supervised learning versus unsupervised learning

Major Approaches in Machine Learning include linear regression, decision trees, clustering and neural networks.

Recommended Resources:

Machine Learning taught by Andrew Ng on Coursera

Machine Learning insights from Google with their crash course

4. Work on Specific Technologies

Why Projects?

It is very important to use concepts with real situations.

Ideas:

Image classification

Sentiment analysis

Chatbots

Platforms:

Kaggle

Google Colab

5. Get to know the concept of Deep Learning.

Subjects include neural networks, CNNs, RNNs and transformers.

Recommended Resources:

Coursera platform offers a Deep Learning Specialization course.

Fast.ai Practical Deep Learning

6. Become part of the AI Community

Why?

Make use of networking, gain a mentor and keep learning.

How?

Interact with people and post questions in relevant communities such as Reddit and Stack Overflow.

Go to online seminars and gatherings for AI.

Assist in projects that are open-source.

7. Create a strong portfolio and search for vacant positions.

Showcase:

GitHub repositories

Having your own website or blog

The final results of Kaggle competitions

Apply:

Jobs that do not require much experience.

Internships

People sometimes call them research assistant positions.