Beginner Guide: The 5 Best Free AI Courses for 2023
At current times where AI has no limits and has a wonderful future ahead, getting free AI training means that you are able to keep up with the competitive world and you are not lagging behind without making any investment.
From the beginning of AI logic technologies in mid 20th century and its development to current AI capabilities, there are multiple things to learn and it is better to go into depth to understand what future it has. In order to learn AI, there are multiple courses available online (both paid and free of cost), but in this article, the focus is on AI free courses. The courses have been listed along with their features.
1Prerequisites
However beginner-level courses do not demand the candidate to have some sort of skills for the AI training courses. But in intermediate or expert level courses, there are some prerequisites mentioned commonly:
- The first prerequisite is to have a strong knowledge of mathematics. Within mathematics, you must have a good understanding of probability and statistics, linear algebra and calculus.
- The second prerequisite is the skills of programming. You must know at least one programming language especially Python due to the community service, libraries and its readability.
- The third prerequisite is having basic computer science knowledge. For example software development, algorithms, complexity analysis, searching, sorting, data structures and etc. The basic knowledge of computer science along with problem-solving makes the best combination to learn AI.
2Five Best Free AI Training Courses
In this part of the article, we have listed the Free AI training courses that are available online:
2.1Google AI for Everyone
This course is a Google free AI training program that focuses on beginner learners, As the name says, this course is for everyone and there is no restriction on who gets enrolled. There are no prerequisites mentioned in the course description.
It is a four-week long course if you are able to give 2-3 hours a week.
Level:
As told above, this course is made for everyone and is of a very beginner level. You don’t have to be a champion of machine learning techniques, or deep knowledge of computer science or mathematics to get enrolled in this course. Just become a part of everyone without considering your level in computer science.
Link:
The link to the course is: https://www.edx.org/learn/artificial-intelligence/google-google-ai-for-anyone
Contents:
The courses are divided into multiple contents and parts to make it possible to move step by step in the process of learning AI. The contents are the following:
- What is considered AI and what is not
- AI, ML Deep Learning fitting together
- The AI applications
- What programming looks like? – regression, classification.
- Neural networks
- Ethic work in AI
- Teaching computers how to learn
- The mistake AI apps make due to poor data quality and quantity.
2.2Career Essentials in Generative AI by Microsoft and LinkedIn
This course is a step taken by Microsoft and is a Microsoft AI training free program that holds much importance for the current scenario of AI. Let's have a look at the details.
Level:
Although it is not mentioned about the level for an individual for the course. But it can be seen that this course lies between beginner to intermediate.
Link:
The following is the link to the course: https://www.linkedin.com/learning/paths/career-essentials-in-generative-ai-by-microsoft-and-linkedin
Contents:
This course by Microsoft and Linkedin is highly focused on the generative so the contents of this course also revolve around it. Here is what the course contains:
- What is Generative AI
- The evolution of thoughtful research
- Streamlining work with Microsoft Bing Chat
- Ethics in Generative AI age
- Intro to AI
2.3Udacity's Free AI Course
Udacity is a reputable online learning platform that deals majorly in computer science-related courses. This course is an introduction to the AI and basics of representative applications of AI. This course takes around 4 months to complete.
Level:
The level of this course is intermediate. Apart from that, the prerequisite involves a grip on linear algebra and probability.
Link:
The link to the Udacity course is: https://www.udacity.com/course/intro-to-artificial-intelligence--cs271
Contents:
The contents of this course are clear and concise. They are the following:
- Fundamentals of AI – statistics, ML, logic and planning
- Applications of AI – computer vision, robotics and NLP.
2.4Elements of AI — Helsinki University
This course is focused on the elements of AI and is an free AI training courses created by MinnaLearn and the Univerisity of Helsinki.
Level:
The level of the course is not mentioned, but from the available information and contents, this course is primarily an introductory course on the multiple elements of AI so it is beginner-friendly.
Link:
The link to the course is: https://www.elementsofai.com/
Contents:
The course includes the following contents:
- What is AI
- What can and can be done through AI
- Creating AI methods
2.5Machine Learning Crash Course — Google
The course is offered by Google free of cost and is focused towards machine learning. It is a 15-hour long course which contains 25 lessons and 30 exercises.
Level:
The level of this machine learning course is intermediate to expert. You must know Algebra, Trigonometry, Linear Algebra, Calculus, Python Programming, Bash Terminal and Statistics.
Link:
The link to the course is: https://developers.google.com/machine-learning/crash-course
Contents:
This course includes
- Introduction to machine learning
- Using Tensor flow APIs
3Common Goals of Learning AI Courses
There are multiple goals set by learners of AI, but there are some common goals that the individuals have when they enrol in such courses:
3.1Career Development
AI is an emerging field and learning it helps individuals to understand the science behind it. When the individuals are done with the course, they can get a degree for it, as well as certifications that might help them to land their dream job as well as excel in their careers.
3.2Skill Acquisition
In the world of skills, no one talks about degrees. At current times, certifications in courses such as AI means that you are gaining the relevant skills that might help you in securing the skills that you want to get.
3.3Problem-solving
AI is a subject that helps individuals to work on problem-solving skills. AI is something that is creating ways to make decisions and to solve problems so why not work on problem-solving skills?
3.4Entrepreneurship
Learning AI courses might help you to open a business. With the knowledge and skills of AI, you can always come up with something new in order to get in the market.
3.5Personal Interest
Some tech-savvy individuals are always eager to learn emerging fields such as AI. It depends on personal interest and growth to opt out courses of in AI.
4Websites to Learn AI Courses
There are several websites available that provide free AI online courses to provide skills to individuals. But there are some websites that can help in learning AI in the best way possible. They are the following:
4.1Coursera:
Coursera is an exceptional platform that provides an in-depth knowledge of all the courses available on the website. When the discussion is about AI courses on the platform, then they are huge in numbers and multiple skills can be developed through these courses. At current times, more than 1800 AI-focused courses are available on the Coursera website with around 800 above beginner level.
4.2EdX:
Just like Coursera, EDX is also a learning platform that offers multiple courses online. There are multiple AI courses that are available on the eDX website. There are even degree-level expertise and opportunities available on the website
4.3Udacity:
Udacity is one of the most recommended learning platforms for tech-related courses. On Udacity, AI is covered and even nano degrees are offered for AI learning. You may select the courses according to your level of expertise and get a certification that is recognized by top tech brands.
4.4Standford Online:
As the name says, this set of AI courses is presented by Standford. The certifications and degrees of Standford have their own standards and they are highly recommended in the market.
4.5Fast.ai:
Fast AI is an AI-focused learning platform that has a number of courses available to learn the depth of AI.
5How to Getting Started with Machine Learning Algorithms?
To get started with Machine Learning Algorithms, you will have to a step-by-step approach. First, you will learn the basics, after that, you will learn the algorithms and then you will be working on real-world data. Here is how you can get started with machine learning algorithms.
5.1Know the Fundamentals
Before carrying out your work with ML, make sure that you are aware of the prerequisites. The prerequisites may include mathematics, programming and basic data handling.
5.2Start with the basics:
If you cover the other requisites, start learning the basic machine learning concepts such as different learning methods (supervised learning, unsupervised learning, underfitting, overfitting, evaluation metrics and variance tradeoff.
5.3Choose an ML framework
Once you are done with the learning of basics, take a turn towards selecting a Machine Learning Framework. The options in this case may include popular frameworks such as TensorFlow, and PyTorch, The frameworks provide tools and libraries for the building of AI models and deploying them,
5.4Select a Learning platform:
To set your skills up to the mark, select a learning platform from which you can get hands-on experience with ML algorithms. These platforms may include Coursera, Udacity, edx, Stanford Online, and Fast AI which offer advanced machine learning courses.
5.5Focus on the specific algorithms and practice
In order to get a grip on ML, start off by practising with a simpler algorithm such as Linear regression. This may continue as time goes on, you can move on with more complex ML algorithms like Random forest, Support Vector Machines etc.
6ChatInsight - Train AI Bot with Knowledge Base
ChatInsight is an intelligent AI Chatbot that allow you to train with a customized knowledge base. Unlike traditional rule/keyword-based systems, it will constantly adapt to any context, domain, and other relevant information to become much easier to answer and deliver accurate responses. Moreover, no matter what language your training data is, Chatinsight can intelligently understand customer needs and answer.
ChatInsight can handle millions of conversations and users. Its applications include sales consultation, customer support, training, and handling pre-sales, and after-sales inquiries, etc.
7Final Thoughts
AI is an emerging field and it is something that is never going to diminish in the near future. It can be beneficial for you to learn stuff related to AI so you can secure your future. For learning purpose, it is not even important to make investments because there multiple platforms like Coursera, edX, Udacity and many more that provides free-of-cost courses that have a worth in the market.
Completion of these courses can make you capable of achieving your goals to grow in your career, make use of skills and start a business. There are multiple websites and courses available for free all over the internet. It is dependent on your likes and dislikes of how you make use of it.
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