Introduction
Did you know you can learn AI for free without spending any money at all? Many students across the globe want to learn AI as there is huge demand for this course and because of this there are countless platforms offering high quality paid courses.
For some students who are struggling with money it is very much difficult to learn paid AI courses. Worry not in this article we will guide you to learn AI from scratch and with slow and steady process you can gain fundamental concepts regarding AI.
As demand for AI professionals is quite high and it is growing continuously, there are lots of companies that want to hire AI engineers, AI consultants and AI data analysts etc for their rapid growth. As an AI professional you can expect a salary of $136,000 to $375,000 annually.
As adoption of AI in all kinds of industry is taking its toll it becomes necessary to learn AI. Having said that, you can see a flood of AI courses on the internet which are being offered by various learning platforms.
This free AI Roadmap article enables you to grasp broader pictures of AI learning where you will get all necessary topics to enter into the AI courses.
We will also provide what area you need to focus to adapt the pace of current AI learning and apart from that you will get necessary links to some of the amazing free courses offered by different platforms.
So without wasting time….let’s discuss how to study AI for absolutely free?
Steps to learn AI for free
Step-1 : Python Learning
For AI Courses the most suitable programming language is python with its versatility it smoothes AI learning. So you need to brush up your python language daily.
Don’t worry you should not have to be pro at it, rather you should focus on the fundamentals which will enable you to make many AI applications. As a beginner you must have to grasp the basics of python to get started with AI learnings.
As python is more versatile and have amazing libraries specially designed for machine learning it becomes a priority to learn python.
To learn python you can take this 4.5 hours YouTube course which is offered by freecodecamp.org.
For Hindi audience you can learn python from 100 days python series offered by YouTube channel called code with Harry
For a python certification courses you can learn it from Coursera
To know details and more about python courses check out this article “5 best online Python Courses with certificate free and paid”.
Step-2 : Learn Havard Free AI courses with Python
Step-2 will be your exciting journey as you are now trying to learn AI from a reputed University. Harvard’s free AI course is really amazing with easy understanding and a suitable method of Learning you will slowly slowly learn AI and will get a broader picture of their practical applications.
The instructor’s teaching style is very clear and lets you understand every concept without making you bored and overall after this course you will be well acquainted with AI terminologies and can find yourself thinking like AI professionals.
Moreover you will get to learn about how to develop AI solutions which includes graphs, algorithms, classification, reinforcement learning etc.
With this now you are completely ready to make AI applications and also learn the techniques behind AI algorithms to make large language models.
To avail this courses check out this “CS 50’s Introduction to Artificial Intelligence with Python”
Step-3 : Learning Developer Platform Github
After learning python and this Harvard’s free AI course you will now have developed the capability to implement AI models and can play with various datasets.
So it’s time to take your learnings to the community. You can connect with a wider AI community on the developer platforms like Github where you can edit and learn and would be able to change codes that are published by many developers. Apart from that networking and talking with your fellow developers is the key in order to get the latest trends and techniques in AI technologies.
Github allows multiple people to work on the same project and where you can modify another person’s project with your AI techniques. Overall you will get a fun way of learning.
To learn Git and Github check out the free code camp crash course which is freely available on YouTube.
Step-4 : Now it’s time to learn LLM
To create chat gpt like LLM which is trained over massive datasets with trillions of parameters you need to understand LLM more deeply.
This Generative AI model has the capability to perform a wide variety of tasks outperforming various traditional AI models.
It can do complex tasks such as coding, automation, data analysis with simple prompts which is now becoming the hot topic to learn it. Companies are now in a rush to implement LLMs into their workflow in order to increase productivity. That’s why you must focus to understand LLMs as well.
There bunch of free courses available to understand LLMs more deeply
- Intro to large language models by Google : This course is beginner friendly and will get you all the basic related to LLMs.
This advanced course is really great and is available in deeplearning.ai and you can learn at your own pace and can develop most in-demand skills by the leading industry experts. To get this certification you need to pay $50.
Step-5 : Fine tuning LLMs
After learning all the basics of AI and LLM now it’s time to find tuning it for better capabilities.
You have to back and forth between huge datasets to gain and reiterate until it is achieved the suitable stage. Many companies would like to find tuning because of their huge datasets and for this fine-tuning they always recruit highly skilled AI Engineers who have the capability to deploy models with better capabilities.
For this fine-tuning there is a course offered by deepleaearning.ai which can be accessed from Coursera platform. To avail this course check “Fine-tuning large language models(LLMs)“
Next Approach in AI Learning to stay ahead of the game
By following the 5 steps in this article, you’ll unlock a treasure trove of AI knowledge! These skills will open doors to exciting careers in machine learning, AI engineering, and consulting. But that’s just the beginning. While online courses provide a solid foundation, here are four more tips to boost your job prospects.
Projects
Working on projects lets you use the skills you’ve learned with real-world datasets, giving you valuable hands-on experience. These projects can make you stand out and help you get jobs in the field, even if you don’t have prior work experience. To find better AI projects, check out platforms like GitHub, Kaggle, and university research labs.
Daily update of AI Trends
The AI industry is advancing at lightning speed, with new techniques and models emerging all the time. Keeping up with these cutting-edge technologies will give you a competitive edge. For easy-to-understand insights on complex AI topics, check out AitechXi and Analytics Vidhya—they make staying updated both accessible and exciting!
Read books, Research articles and blogs
Reading books on ai is another way to grasp more knowledge. Everyone thinks that by learning AI only from the internet will gain you significant knowledge but that’s not true you need some time to spend with the books because book reading is great for eye as compared to computer learning and at the same time it also build more neural connections than computer learning.
So whenever you get time learn from books as books are the real treasure trove and can make your AI terminologies more frequent and apart from that if you want to learn best AI and machine learning books please check the article
- “ What are some good books on artificial intelligence?”?
- “5 free machine learning books”
For best AI blogs you can check our article on “10 best AI blogs to follow”
Connect to AI Community
To truly excel in AI, it’s essential to immerse yourself in a supportive community. Engaging with others who share your passion will significantly enhance your learning experience and unlock numerous opportunities. Attending local AI networking events is a great way to build relationships with peers in the field. Additionally, contributing to open-source projects on platforms like GitHub can help you connect with professional AI developers. These interactions can lead to job offers, collaboration projects, and valuable mentorships, boosting your career prospects immensely.
Bottomline
If you try to implement your learning daily then you will become an AI professional in few months and can develop necessary skill sets to grab a high paying job.
Apart from that you can work in various remote AI jobs in various platforms from your home as well. Soas an AI professional you can develop multiple revenue stream from different sources.
FAQs
Q. How can I learn AI free?
A: Use free online resources like Coursera, edX, Khan Academy, and YouTube. Access libraries, join forums, and participate in community groups for shared learning and networking.
Q. How can I learn AI myself?
A: First learn basics of python from the above said free platform then take Harvard’s AI course with python and gradually increase the pace of learning. For more details check this article.
Q. Is AI difficult to learn?
A: No, it is not difficult to learn. However you need to learn daily to keep pace with the developments of AI. Initially it will be more exciting but as you go deep you may find it difficult but don’t worry that’s the actual phase of learning and if you can develop that ability gradually then you can become pro at AI and can leverage more income. So learn daily…