Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconArtificial Intelligences USbreadcumb forward arrow iconAI Free Online Course with Certification

AI Free Online Course with Certification

Last updated:
31st May, 2022
Read Time
9 Mins
share image icon
In this article
Chevron in toc
View All
AI Free Online Course with Certification

AI and machine learning are changing how we work and think. These smart technologies help machines learn, solve problems, and make decisions like humans do. They can even talk to each other and quickly share a lot of data. As AI improves, machines can improve independently. For anyone wanting to keep up with these changes, checking out free online AI Courses is a smart move. I found that learning more about AI and machine learning not only boosts skills but also projects where technology is heading. 

About Free online AI Courses

Artificial Intelligence courses along with Machine learning courses involve programming languages, computer science, python code, data science, psychology, neurology, machine learning with python, and much more. Introductory classes on Artificial Intelligence will help you get the basic knowledge of various components that are crucial in this field while creating ample room for your personal research and developments. Practical experiments are also initiated with the artificial intelligence programming of intelligent agents such as logic-reasoning problems, algorithm-centric games, etc. 

Examples of Artificial Intelligence learning include facial recognition in smartphones, drones, global language translators, self-driving cars, etc. 

Another important keynote is to go through courses of data science, machine learning, deep learning, python code, and robotics, which helps in the better understanding and better functioning of artificial intelligence. Learning basics of how machines are operated, being able to differentiate between 2D and 3D spatial relationships, how to function robotic arms, and strategizing the overall AI systems.

Ads of upGrad blog

Educating yourself on machine learning is a crucial step to mastering artificial intelligence. You need to explore separate learning of analyzing models, computer vision, data clustering, problem-solving, reinforcements of data, machine learning algorithms, facial recognition, speech recognition, data mining, and lastly sequential models for data in a fixed order. To learn data analysis, you need to learn Python, R, Java, etc., which are usually included in the introductory classes.

Learn artificial intelligence courses online from the World’s top Universities – Masters, Executive Post Graduate Programs, and Advanced Certificate Program in ML & AI to fast-track your career.

Artificial Intelligence courses also teach learners the following concepts:

  • Artificial Intelligence architecture
  • Educating learners to work with A3C
  • Advanced and controlled, artificial intelligence models
  • Knowledge of self-driving cars, like Tesla
  • Artificial Intelligence test executions on game performances
  • Functions of Machine learning

Types of Artificial Intelligence

Artificial Intelligence course online free with certificate offers knowledge on three subfields of artificial intelligence. They are as follows:

1. Artificial Intelligence

As we all know by now, artificial intelligence focuses on building smart machines that can deliver solutions to real-world problems.

2. Machine Learning 

This is the study of algorithms that allows customized experiences for every individual based on its data and execution. The term ‘Machine Learning’ was coined by Arthur Samuel who was a pioneer in artificial intelligence (AI). He describes it as a “Field of study that gives computers the ability to learn without being explicitly programmed”. ML powers numerous applications that we use in our daily life, including .

3. Deep Learning

Deep Learning can be called a subfield of machine learning. In order to achieve efficient machine learning, machines need to learn different layers and sublayers of data. The depth of this model is expressed by the number of layers in the data. For example, facial recognition in smartphones contains 7 layers of data. In this phase of data learning, learning is done through a neural network. A neural network is a constructed design in which layers are stacked up on each other to form patterns of learning.

learning is done through a neural network. A neural network is a constructed design in which layers are stacked up on each other to form patterns of learning.

Where is Artificial Intelligence used? 

There are various uses of artificial intelligence. They are as follows:

  • Artificial intelligence is used in places where the projects are repetitive and mundane. Since artificial intelligence is high-level machines, they never exhaust and the workload is quite reduced. Also, it should be noted that the huge amount of tasks does not ruin its performance; therefore artificial intelligence is used in such areas.
  • Free online AI courses help in improved learning. 

Rather than discarding a concept or a product entirely, artificial intelligence allows chances of improvement so that minimal wastage is done. Improving an existing product is always a better idea than building one from scratch. 

  • Traditional rules that were applied in information learning or data execution are not followed in artificial intelligence. It makes its judgment based on contemporary and innovative times.
  • An example of artificial intelligence can be the Facebook tagging system. Earlier, while uploading a picture on Facebook, accounts had to be tagged manually. However now, artificial intelligence allows you to tag by choosing from accounts it has already suggested to you.

Best Artificial Intelligence Online Course with Certification picked out for you!

1.Master of Science in Machine Learning & AI

upGrad offers you a great helping hand. Online Master of Science in Machine Learning & AI by Liverpool John Moores University is one of the best options. It is a 20-month course, with 25+ Mentorship Sessions from Industry Experts. It offers you 12+ industry projects & assignments and you have to choose 6 options out of 10 Capstone Projects.

Program Highlights:

  • Eligibility- 50% (or equivalent) Bachelor’s Degree preferably in a Mathematical/Statistical background. 1 year of work experience in programming/analytics is recommended.
  • LJMU Supervisor for guidance on Research & Dissertation
  • Finance: Starts at $208.31/month
  • Recommended 15 hrs/week
  • WES (World Education Services) Recognised

2.Getting started with Artificial Intelligence (AI) on Microsoft Azure:

This is one of the most popular free courses on AI and is designed by Microsoft experts to introduce beginners to the enterprise-grade AI services offered on the Azure cloud platform.  

It covers modules such as Intro to Azure Machine Learning, Automated Machine Learning, Natural Language Processing and Computer Vision using Azure Cognitive Services, and Conversational AI using Azure Bot Service.  

Hands-on exercises and tutorials accompany each module to help you learn and implement AI solutions on Azure. 

In addition to interactive browser-based labs, the course also covers responsible AI considerations.  

Learners can build models using automated ML, NLP, computer vision, and other techniques by providing access to preconfigured environments on Azure.  

The course is designed to help learners practice with real examples, making the concepts more understandable and easier to retain. Overall, it’s an excellent introductory course for applied Azure AI skills. 

3.Designing and Implementing Microsoft AI Solutions by Microsoft Learn

This free AI course from Microsoft guides industry practitioners on effectively leveraging Azure cloud services to build complete AI solutions tailored to business scenarios.  

Through a series of step-by-step modules, users master skills to assess AI opportunities, select appropriate techniques like machine learning, knowledge mining, computer vision, or natural language processing, and assemble solutions leveraging pre-built Azure Cognitive Services and Bot Framework capabilities and best practices for responsible AI development. 

Practical exercises demonstrating key stages in delivering an AI app features prototypes industry solutions. On completion, professionals are equipped to strategize, design, implement, and manage AI apps on Azure using sensitive data safely and ethically.

4.Vanderbilt University’s “Prompt Engineering for ChatGPT”

This free AI course from Vanderbilt University explains the novel concept of prompt engineering to optimally tap into the benefits of large language models like ChatGPT. Learners first explore the foundations of prompt engineering before illustrating applications across domains like computer science, music, and healthcare. 

Accessible examples around coding, pricing, policy analysis, and more complex prompts are systematically constructed using tactical approaches like building context, Controls, Governors, and Targets.  

Programming projects allow learners to experiment first-hand with prompt iteration techniques that reduce bias and align responses. The course skillfully demonstrates real-world problem-solving while controlling risks by demystifying prompt engineering concepts for generative AI.

5.University of Helsinki’s “Elements of AI” and “Ethics of AI” Course

Aimed at beginners, these two complimentary courses from the University of Helsinki impart crucial foundations around artificial intelligence and considerations around ethics and inclusiveness required for the responsible development of AI solutions. The “Elements of AI” course explains historical contexts, key terminology, applications, and limitations using everyday illustrative examples.  

Ads of upGrad blog

The “Ethics of AI” program highlights issues around privacy, security, bias, and transparency associated with AI systems and ways to assess impact. Discussions also cover governance principles around human values and oversight. Focused case studies make abstract concepts approachable for learners from non-technical backgrounds while communicating why ethics matters as AI becomes widespread. 

Our AI & ML Programs in US

Sign up with upGrad for more information on online artificial intelligence learning courses.


Diving into the world of AI doesn’t have to be daunting or expensive, thanks to free online AI courses available. These courses not only introduce the fundamentals of artificial intelligence but also delve into its various types and applications. As someone who’s been through this journey, I can attest to the immense value these courses offer. Whether it’s understanding how AI can be used in different industries or getting to grips with complex AI concepts, there’s something for every mid-career professional looking to expand their skill set. The best part? You can achieve certification at no cost. This opens up new pathways for career advancement and keeps you at the forefront of technological innovation. For anyone looking to stay relevant in their field, exploring free AI courses is a smart, accessible choice. 


Pavan Vadapalli

Blog Author
Director of Engineering @ upGrad. Motivated to leverage technology to solve problems. Seasoned leader for startups and fast moving orgs. Working on solving problems of scale and long term technology strategy.
Get Free Consultation

Select Coursecaret down icon
Selectcaret down icon
By clicking 'Submit' you Agree to  
UpGrad's Terms & Conditions

Our Best Artificial Intelligence Course

Frequently Asked Questions (FAQs)

1What programming languages are used in Artificial Intelligence?

One of the most popular modular programming languages used in artificial intelligence is Python. Due to its ease of use, simplicity, and predictable coding analysis, it is highly used. Others include: Java: Companies that use Java include Instagram, Amazon, Google Netflix, Uber, Spotify, Airbnb, etc. C++: Companies that use C++ include Accenture, Twitch, Google, Telegram, Walmart, Lyft, etc. R: Companies that use R include Facebook, Twitter, Airbnb, Google, Microsoft, Uber, and other spheres in pharmaceuticals, education, telecom, finance, etc. Prolog: Companies that use Prolog include IBM Watson and a few NLP applications. Lisp: Companies that use Lisp include Amazon, eBay, Facebook, Walmart, etc. Haskell: Companies that use Haskell include Twitter, Microsoft, AT&T, NVIDIA. Wolfram: It is used by Apple’s Siri to solve computational equations. Smalltalk: Companies that use Smalltalk include Broadcom, Infobip, CrowdStrike, Scopely, etc. Rust: Companies that use Rust include Postmates, Dropbox, Mozilla, NPM, Braintree, etc.

2What are the differences between strong Artificial Intelligence programming and weak Artificial Intelligence programming?

Strong Artificial Intelligence indicates a better imitation of human intelligence in performance and execution. It uses methods of clustering and association to solve matters. Weak Artificial Intelligence means weaker ability in performance. Such AI programs cannot handle complex questions and only answer certain characteristics. Examples include Siri and Alexa. It is a good option for executing simpler tasks since it does not use high intelligence.

3What are the careers in Artificial Intelligence Courses?

Career scopes in Artificial Intelligence courses include: Machine Learning Engineer Big Data & AI Architect Big Data Scientist Artificial Intelligence Engineer Research Engineer - Artificial Intelligence Data and AI Consultant Robotics Professional Software Engineer IoT Architect Business Intelligence Developer Machine Learning Engineer Machine Learning Architect Machine Learning Experts Deep Learning Experts Software Engineers

Explore Free Courses

Suggested Blogs

Top 25 New & Trending Technologies in 2024 You Should Know About
Introduction As someone deeply immersed in the ever-changing landscape of technology, I’ve witnessed firsthand the rapid evolution of trending
Read More

by Rohit Sharma

23 Jan 2024

Basic CNN Architecture: Explaining 5 Layers of Convolutional Neural Network [US]
A CNN (Convolutional Neural Network) is a type of deep learning neural network that uses a combination of convolutional and subsampling layers to lear
Read More

by Pavan Vadapalli

15 Apr 2023

Top 10 Speech Recognition Softwares You Should Know About
What is a Speech Recognition Software? Speech Recognition Software programs are computer programs that interpret human speech and convert it into tex
Read More

by Sriram

26 Feb 2023

Top 16 Artificial Intelligence Project Ideas & Topics for Beginners [2024]
Artificial intelligence controls computers to resemble the decision-making and problem-solving competencies of a human brain. It works on tasks usuall
Read More

by Sriram

26 Feb 2023

15 Interesting Machine Learning Project Ideas For Beginners & Experienced [2024]
Taking on machine learning projects as a beginner is an excellent way to gain hands-on experience and develop a better understanding of the fundamenta
Read More

by Sriram

26 Feb 2023

Explaining 5 Layers of Convolutional Neural Network
A CNN (Convolutional Neural Network) is a type of deep learning neural network that uses a combination of convolutional and subsampling layers to lear
Read More

by Sriram

26 Feb 2023

20 Exciting IoT Project Ideas & Topics in 2024 [For Beginners & Experienced]
IoT (Internet of Things) is a network that houses multiple smart devices connected to one Cloud source. This network can be regulated in several ways
Read More

by Sriram

25 Feb 2023

Why Is Time Complexity Important: Algorithms, Types & Comparison
Time complexity is a measure of the amount of time needed to execute an algorithm. It is a function of the algorithm’s input size and the type o
Read More

by Sriram

25 Feb 2023

Curse of dimensionality in Machine Learning: How to Solve The Curse?
Machine learning can effectively analyze data with several dimensions. However, it becomes complex to develop relevant models as the number of dimensi
Read More

by Sriram

25 Feb 2023

Schedule 1:1 free counsellingTalk to Career Expert
footer sticky close icon