Nowadays, one word is heard everywhere – AI, that is, Artificial Intelligence. Whether you are surfing YouTube, watching an e-commerce website, or talking to a chatbot – AI is everywhere. And this is why learning AI and Machine Learning has become a smart career choice in 2025.
But the question arises – where to start? Which courses are right? And if you are a complete beginner, how to proceed?
In this article, we will explain in simple language which are the top AI and ML courses in 2025, how you should start, and how you can take your skills to the professional level.
Why are AI and Machine Learning important?
AI is no longer just a part of movies. It has now become a part of our everyday life:
- Your mobile’s face unlock works with AI.
- Google Maps shows you directions — that too is machine learning.
- When Netflix suggests a series of your choice — that too is done by AI.
Now imagine, if AI is doing so much work, then how much will be the demand for those who learn it?
Best AI and ML Courses of 2025
Now let’s talk about the top courses that are available on online platforms, and which teach you from basic to advanced level.
Specialized Courses and Nanodegree Programs
Machine Learning Specialization – Coursera (by Stanford)
- This course created by Andrew Ng is the most popular in the whole world.
- You learn: regression, clustering, neural networks, and how to build models.
- The course includes video lectures, quizzes, and projects.
Deep Learning Specialization – Coursera
- This course is for those who want to go deeper into machine learning.
- It covers topics like CNN, RNN, GAN.
- It is perfect for content creators, researchers, and data scientists.
AI Programming with Python – Udacity
- This course works on technologies like Python, NumPy, Pandas, and TensorFlow.
- Practical projects make learning easier.
IBM AI Engineering Professional Certificate
- It teaches ML as well as Deep Learning, NLP, and model deployment.
- This IBM course is recognized in the industry.
Easy courses for absolute beginners
Machine Learning Crash Course – Google AI
- If you want to learn for free and get started, then this course is the best.
- It has interactive videos, case studies, and coding labs.
AI for Everyone – DeepLearning.AI
- This course can be a great start for you even if you do not have a technical background.
- It explains how AI works and how it is used in business.
Introduction to Artificial Intelligence – IBM
- This course teaches basic concepts of AI such as search algorithms, logic and natural language processing.
AWS Fundamentals: Machine Learning and AI – Amazon
- This course is based on Amazon Web Services and teaches model training, testing and deployment.
Special Area Courses
Generative AI Courses
- These courses based on technologies like ChatGPT, DALL·E are now becoming very popular.
- DeepLearning.AI and IBM are offering courses that help in understanding Creative AI.
NLP – Natural Language Processing
- NLP is the technology to understand text and voice.
- PW Skills, Coursera and Udacity are offering good courses in this field.
Computer Vision
- If you want to understand Image Recognition, Object Detection and Facial Recognition, then these courses are for you.
- NVIDIA and Fast.ai provide good content for this.
Reinforcement Learning
- If you want to give AI the ability to learn and take decisions on its own, then this field is for you.
- In this, Agent–Environment Interaction and Reward Mechanism are explained.
How to choose the right course?
According to your background
- If you are a college student or do not have a technical background, then start with AI for Everyone or Google Crash Course.
- Do you know programming? Then go straight to Deep Learning or NLP.
Decide your career goal
- Do you want to become a Data Scientist?
- Do you want to go into NLP, Vision or Robotics?
- Choose the course accordingly.
Give priority to practical training
- Take courses with hands-on projects.
- Projects give you experience of working in the industry.
What can you do after doing the course?
After learning AI and ML, you will have many career options:
- Data Analyst / Scientist
- Machine Learning Engineer
- AI Product Manager
- NLP / Computer Vision Specialist
- Freelance AI Trainer / Consultant
What about salary?
- Freshers can get a starting salary of ₹6 lakh per annum.
- After 3–4 years of experience, the salary can reach ₹15–25 lakhs.
- In USA, Canada, and Europe, the salary for AI roles ranges from ₹50 lakhs to ₹1 crore per annum.
Conclusion: Now is the right time to start
2025 is a golden opportunity for AI and ML learners. Whether you are thinking of doing it after 12th or are bored with a job and want to learn something new — AI is open to everyone.
What are you waiting for? Go to any of the platforms mentioned above, choose a course and start your AI journey today.
Gaurav Tagore is a forward-thinking Director known for his impactful work in the education media space. He leads content that helps students make informed academic and career decisions while offering a window into real campus experiences. With a strong focus on clarity and relevance, Gaurav continues to be a trusted voice for student communities across the country.