Artificial Intelligence and Machine Learning are the most in-demand skills in today’s rapidly advancing tech world. Don’t miss the chance, enroll for the most trending AI ML courses and get a chance to grab your first internship or job opportunity.
Are you still confused about which skills you need to get your first internship or job opportunity? In today’s fast-paced, tech-driven world, having knowledge about the in-demand courses can be an advantage. Whether you are a student learning to code, a professional focusing on upskilling yourself, or a business gaining digital information, the focus remains the same – embracing technology.
If you’re fascinated to know about how things work in the backend then you’ve landed at the right place. This blog will focus on the top AI ML courses online listed for all categories-beginner, intermediate and advanced. Upon completion of these courses, you will be skilled in the field of artificial intelligence and machine learning.
Table of Contents
What Is Artificial Intelligence And Machine Learning (AI And ML)?
Artificial Intelligence (AI) is a type of technology that enables computer systems or machines to think and act like humans. Machine Learning (ML) is a part of AI that teaches computer systems to learn from data. Instead of giving the computers step-by-step guide, we provide them with examples and it learns from them. For example, suggestions from YouTube about the videos you might like is Machine Learning.
Artificial Intelligence
Artificial Intelligence is a set of technologies that enable computers to perform a variety of functions. It can see, understand, and translate data into spoken and written languages for recommendations and more.
For example: Voice Assistants like Siri, Alexa can understand your voice commands and give personalised results smartly.
Machine Learning
Machine Learning is a branch of Artificial Intelligence that trains machines to perform a specific task without being programmed for it. ML teaches machines to learn from the data and give results.
For example: When you watch a movie on YouTube or Netflix, the ML algorithm learns your preferences and suggests similar shows and movies.
| 💡AI is like the Brain and ML is How the brain learns. |
Benefits Of Learning AI ML Courses
Many people still live in a bubble, believing that AI and Machine Learning are just for tech-experts, but it’s not! What’s a better chance to boost your career than to enroll in the field (AI/ML) which is reshaping our futures? It is beneficial to learn these in-demand AI/ML skills and unlock high-paying job opportunities.
The best part is that most of the courses are beginner-level and anyone with a positive approach and dedication can excel in AI and Machine Learning skills without even having a technical background.
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7 Best Learn AI ML Online Course 2025
Following are the top AI ML courses that every fresher as well as professional must learn to enhance their skills and boost their resumes.
| Course | Link to Enroll |
| Pregrad AI ML Course (Pregrad) | Click here |
| Supervised Machine Learning- Andrew Ng (Coursera) | Click here |
| AI for everyone (Coursera) | Click here |
| Google ML Crash Course [Google Developers] | Click here |
| Harvard CS50 AI with Python (edX) | Click here |
| Intro to Machine Learning (Udacity) | Click here |
| IBM ML Certificate (Coursera) | Click here |
Top AI/ML Courses 2025: Accessible To Everyone
Here’s a list of top-ranked AI ML courses across the web which will make you job-ready in no time. Most of the courses provide certificates upon completion which helps in enhancing your resume and LinkedIn profile, and also helps your application to stand out amongst all.
1. AI/ML Course By Pregrad [HOT NOW🔥]
This AI ML course by Pregrad is best for students and freshers looking for career-ready skills. The course is open to all and the structure of the course is beginner-friendly to make it easier for people joining from non-tech backgrounds.
- Level: Beginner-friendly
- Certificate: Yes
- Duration: 4 Months
- Direct Link: Enroll Now
What You’ll Learn in this Course?
The AI ML course by Pregrad is designed to train you well in the fields of programming, algorithms, and advanced AI tools.
Have a look at some of the key skills that you’ll learn upon the successful completion of this course.
- Learn Python Programming for AI ML
- TensorFlow, Matplotlib, and Seaborn
- You will be able to understand key ML algorithms like clustering and classification.
- You can even explore advanced AI fields such as NLP and LLMs
- Pregrad makes you work on live projects. So, you can apply the concepts in 10+ live projects and 20+ practical assessments.
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2. Supervised Machine Learning By Coursera
This course will help you learn in building machine learning models in Python. You will have to complete a set of 9 assignments to earn your certificate. This course covers topics like Linear Regression, Logistic Regression, neural networks and many more.
- Level: Beginner
- Certificate: Yes (Paid)
- Duration: Approx 33 hours (flexible schedule)
- Direct Link: Enroll Now
What You’ll Learn in this Course?
Supervised Machine Learning is a course available on Coursera in which you can learn the essential principles of machine learning with a beginner-friendly curriculum.
- You will learn algorithms like linear regression, logistic regression, neural networks, K-means clustering, and anomaly detection.
- You will understand optimization techniques such as gradient descent and concepts like regularisation to avoid overfitting.
- You will also learn to balance theory and practical tips for building ML systems.
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3. AI for Everyone By Coursera
As the name suggests, AI for Everyone is open to all. This is a non-technical AI ML Course offered by Coursera which you can leverage to learn AI online as it explains AI concepts, ethics and strategies. It is highly recommended for product managers, students and decision makers.
- Level: Beginner
- Certificate: Yes
- Duration: 6 hours (Self-Paced)
- Direct Link: Enroll Now
What You’ll Learn in this Course?
It is a non-technical course that is designed by keeping in mind people from both technical and non-technical backgrounds. This course starts from the basics and makes you understand what AI can and cannot do.
- You will learn machine learning, deep learning, neural networks, data science, etc.
- Understand what AI can and cannot do.
- You will learn to find AI opportunities and launch AI projects.
- You will learn how to collaborate with AI teams and build AI strategies.
4. Machine Learning Crash Course By Google
Google has launched its own Machine Learning Course which is a great step to enter into the tech world. It is a free AI Machine Learning course, which anyone can learn at their own pace.
- Level: Beginner to Intermediate
- Certificate: NO
- Duration: 15 hours (Self-Paced)
- Direct Link: Enroll Now
What You’ll Learn in this Course?
Google’s crash course is a fast-paced yet understandable and approachable course. Make your learning experience a fun and interactive one by learning through animated videos and great visualizations.
- Learn essential ML models like Linear Regression, Logistic Regression, and classification techniques.
- Learn the best practices and techniques for working with Machine Learning data.
- You will also learn advanced ML models like neural networks, embeddings, and large language models.
5. Harvard’s CS50’s Introduction to Artificial Intelligence with Python
Harvard, one of the most reputed institutions across the globe is providing an online Artificial Intelligence course using Python with applications like handwriting recognitions, game-playing agents and much more.
- Level: Intermediate
- Certificate: Yes
- Duration: 7 weeks (Self-Paced)
- Direct Link: Enroll Now
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What You’ll Learn in this Course?
Harvard is a top institution in the field of education. You will learn the following skills after you complete Harvard’s CS50 Introduction to Artificial Intelligence with Python course.
- Graph search algorithms
- Adversarial search
- Probability theory
- Markov models
- Neural networks
- Natural language processing
6. Intro to Machine Learning By Udacity
If you are in search of a Free AI Machine Learning Course then your search ends here because “Intro to Machine Learning by Udacity” is a completely free course designed for you to help you understand the process of investigating data through a machine learning lens.
- Level: Intermediate
- Certificate: Yes
- Duration: 61 hours (Self-Paced)
- Direct Link: Enroll Now
What You’ll Learn in this Course?
This course gives you an introduction to machine learning, including Python and scikit. You will work on real data and learn to apply ML algorithms to real data.
- You will learn the basics of classification, clustering, and regression.
- You will also learn techniques like Naive-Bayes, SVMs, Decision Trees, and K-NN.
- You will also work on real-world project using the Enron dataset.
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7. IBM Machine Learning Professional Certificate By Coursera
Machine learning by IBM is an intermediate to advanced level professional certification 6-series course which will teach you to compare the different machine learning algorithms by creating recommender systems in Python.
- Level: Intermediate
- Certificate: Yes
- Duration: 3 Months (flexible schedule)
- Direct Link: Enroll Now
What You’ll Learn in this Course?
You can learn the following skills from the IBM ML Course:
- Learn how to compare different ML algorithms.
- You will learn to predict course ratings by training a neural network and constructing regression and classification models.
- You will gain deep knowledge of KNN, PCA, and non-negative matrix collaborative filtering.
Things To Keep In Mind While Applying For Any AI ML Online Course
As there are plenty of Online courses available online and hence you need to be careful before choosing a course.
1. Enroll from the official website only
Make sure that you use only the official website to enroll for the online learning programs. This helps prevent scams and online fraud. Do not pay or use any website while searching for AI Ml Course epsecially the platforms which is not verified by authorised institutions.
2. Check the Course Curriculum Before Enrolling
Always check the AI ML course curriculum, it gives you an idea about the course structure and you can decide whether the course is suitable to you or not. Also, the curiculum of AI ML course must include hands on projects, live session assists, doubt solving sessions, and other supports.
3. Read Reviews and Check Ratings
Reviews and genuine learners’ feedback help to get an idea of the teaching quality, mentor’s support, and the course’s effectiveness. Make sure you understand the authenticity of the reviews i,e. not having paid reviews or influenced reviews is a sign of good course.
4. Check Refund Policies in advance
Make sure that you check the payment structure and refund policies of any online AI ML course that you are thinking of enrolling in. Verify all factors before enrolling in any course, make sure the course you are selecting fulfills your requirement and is geniune.
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5. Take payment screenshots
Don’t forget to take screenshots after you complete an online transaction which may be helpful in case of any future disputes.
How To Choose The Right AI ML Course?
You may get confused when you see so many options for the same course and you have to choose just one. To avoid making mistakes and choose the right course for yourself, the first thing you have to be clear about is your career goal. Analyse your current skills and try to understand at which stage you are: beginner, intermediate or advanced.
If you are a complete beginner, then you must choose a course that teaches you the introductory AI/ML concepts. It will help you build foundational knowledge before you move towards advanced topics.
You can check out the below courses:
- Pregrad’s AI ML Course
- AI for Everyone (Coursera)
If you already have some prior knowledge in coding, statistics, etc, then you can go for intermediate level or advanced level courses which will focus on deep learning and real-world projects.
You can check out the below courses (intermediate-advanced level):
- IBM Machine Learning Professional Certificate
- Harvard’s CS50 AI with Python
| Tip💡: Always check whether the course includes hands-on projects or not, because AI ML is best learned by applying concepts to real-life data. |
AI/ML Courses FAQs
Q1. Can I learn AI and ML without coding experience?
Ans: Platforms like Pregrad and Coursera offer beginner-friendly courses which are easy to learn even for people from non-tech background, or with no coding experience.
Q2. How long does it take to become job-ready in AI/ML?
Ans: If you learn with full dedication and consistent effort, you can become job ready in the field of artificial intelligence and machine learning within 4-6 months.
Q3. Which AI/ML course is best for beginners?
Ans: The top two recommended courses to begin with for people entering into the field of AI/ML would be:
AI for everyone by Andrew Ng
Q4. What is the duration of Pregrad AI ML Course?
Ans: The duration of Pregrad AI ML Course is 6 months where students will get live sessions and pre-recorded lectures.
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