4 Free Courses to Build Your Own AI in 2023

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In this Blog we will Explore 4 Free Courses to Build Your Own AI Artificial intelligence (AI) is one of the most transformative technologies of our time. It is used in a wide variety of applications, from self-driving cars to facial recognition software. If you are interested in learning how to build your own AI, there are many available online.

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4 Free Courses to Build Your Own AI in 2023
Source: analytics insight

Here Are 4 Free Courses to Build Your Own AI in 2023

1. Introduction to Artificial Intelligence with Python (Harvard University) on edX

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.

Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other topics in artificial intelligence as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

What you’ll learn

graph search algorithms

adversarial search

knowledge representation

logical inference

probability theory

Bayesian networks

Markov models

constraint satisfaction

machine learning

reinforcement learning

neural networks

natural language processing

Course Link Click Here

2. Fundamentals of AI (deeplearning.ai) on Coursera

In Generative AI with Large Language Models (LLMs), created in partnership with AWS, you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

What you’ll get from Generative AI with LLMs

Gain foundational knowledge, practical skills, and a functional understanding of how generative AI works

Dive into the latest research on Gen AI to understand how companies are creating value with cutting-edge technology

Instruction from expert AWS AI practitioners who actively build and deploy AI in business use-cases today

Course Link Click Here

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3. IBM: AI for Everyone: Master the Basics

Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

In this course, you will learn what AI is and understand its applications and use cases and how it is transforming our lives. You will explore basic AI concepts including machine learning, deep learning, and neural networks as well as use cases and applications of AI. You will be exposed to concerns surrounding AI, including ethics, bias, jobs and the impacts on society.

You will take a glimpse of the future with AI, get advice for starting an AI related career, and wrap up the course by demonstrating AI in action with a mini project.

This AI for Everyone course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

What you’ll learn

Understand what is AI, its applications and use cases and how it is transforming our lives

Explain terms like Machine Learning, Deep Learning, and Neural Networks

Describe several issues and ethical concerns surrounding AI

Articulate advice from experts about learning and starting a career in AI

Course Link Click Here

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4.AI Foundations for Everyone Specialization

Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student – understanding AI, its impact and transformative potential for your organization and our society is of paramount importance.

This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks.

Furthermore, it will familiarize you with IBM Watson AI services that enable any business to quickly and easily employ pre-built AI smarts to their products and solutions. You will also learn about creating intelligent virtual assistants and how they can be leveraged in different scenarios.

What you’ll learn

Introduction to Artificial Intelligence (AI)

Getting Started with AI using IBM Watson

Building AI Powered Chatbots Without Programming

Course Link Click Here

FAQ

What are the benefits of taking Free Courses to Build Your Own?

Here are some of the benefits of taking free courses to build your own AI:
Save money: Free courses are a great way to learn about AI without spending any money. This can be especially beneficial for students, people who are unemployed, or people who are on a tight budget.
Learn at your own pace: Free courses are typically self-paced, which means that you can learn at your own speed and on your own schedule. This is ideal for people who have busy lives or who want to learn about AI at their own pace.
Access to high-quality education: Free courses are often offered by top universities and companies, so you can be sure that you are getting a high-quality education.
Gain new skills: Taking free courses to build your own AI can help you to gain new skills that can make you more competitive in the job market.
Build a portfolio: Completing free courses and building your own AI projects can help you to build a portfolio that you can show to potential employers.
Overall, taking free courses to build your own AI is a great way to learn about AI, gain new skills, and build a portfolio without spending any money.
Here are some additional benefits:
Learn from experts: Free courses are often taught by experts in the field of AI. This means that you can learn from the best and brightest minds in the industry.
Get hands-on experience: Many free courses offer hands-on experience with AI tools and technologies. This means that you can learn by doing and apply what you are learning to real-world problems.
Build a community: Taking free courses to build your own AI can help you to connect with other people who are interested in AI. This can be a great way to network, learn from others, and collaborate on projects.
I hope this helps!

How is this Free Courses to Build Your Own?

Free courses to build your own AI are online courses that teach you the skills and knowledge you need to build your own AI models. These courses are typically offered by top universities and companies, and they cover a wide range of AI topics, such as machine learning, deep learning, and natural language processing.
Free courses to build your own AI can be a great way to learn about AI and to gain the skills you need to build your own AI models. However, it is important to note that these courses are not a replacement for a formal education in AI. If you are serious about pursuing a career in AI, I recommend that you consider getting a degree in computer science or a related field.
Here are some examples of to build your own AI:
Introduction to Artificial Intelligence with Python (Harvard University) on edX
Fundamentals of AI (deeplearning.ai) on Coursera
AI for Everyone (IBM) on Coursera
AI Foundations for Everyone (IBM) on edX
Artificial Intelligence on Microsoft Azure (Microsoft) on edX
To take advantage of to build your own AI, I recommend the following:
Choose a course that is right for your interests and level of experience.
Be active in the course forums and discussion groups.
Complete all of the course assignments and projects.
Build your own AI projects.
By following these tips, you can get the most out of to build your own AI and start developing your AI skills.

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