It’s so new that most people are still learning about it.
These great AI classes can get anyone onto firm ground, even as this cutting-edge field gathers speed.
Many free AI courses are available online so pick one that matches your current knowledge level.
you’re able to always move up as needed.
Introduction to Generative AI Learning Path
Courses are short and ideal for micro-learners.
Learn how Google is implementing AI in its products.
Complete the modules and earn badges.
As an introductory course, it doesn’t offer hands-on practice exercises.
With it’s focus on Google, other AI developments are not covered.
A free artificial intelligence course from the search engine giant is a no-brainer.
Tip
For a more technical learning path, look into Google’s freeGenerative AI for Developerscourse.
Career Essentials in Generative AI
Introduces you to Microsoft 365 Copilot and its productivity benefits.
Get a Professional Certificate from Microsoft and display it on your LinkedIn profile.
Limited interactivity with assignments or projects.
This AI course is offered on LinkedIn by Microsoft.
The LinkedIn Learning path is an amalgamation of six different courses with a quiz at the end.
Intro to Artificial Intelligence
Taught by renowned industry professionals.
Covers Machine Learning, Probabilistic Reasoning, Robotics and Natural Language Processing.
The course was last updated in 2022.
Though you don’t need any prior experience with AI, this is an intermediate-level course.
There are 31 lessons on topics like Game Theory, Computer Vision, and Robotics.
Implement your learning on a mini project at the end of the course.
The course is free to audit but graded assignments and a verified certificate from edX can cost $99.
This AI introductory course is offered by IBM on the edX MOOC platform.
you’ve got the option to take this self-paced course and complete it in four weeks.
It’s tailored for beginners without any background in programming or computer science.
AI Chatbots without Programming
Learn more about IBM Watson.
Understand how to design chatbots and monetize them.
Limited to the free lite version of Watson Assistant, a chatbot service available on the IBM Cloud.
IBM offers this free AI course on the edX platform.
The modules are a practical introduction to chatbot creation with the free tier of Watson Assistant at the backend.
The codeless approach is ideal for beginners learning AI for the first time.
AI Ready Initiative
The variety of free courses offered on Amazon Educate and AWS Skill Builder.
The skill upgrades can help you tap into the AWS Educate Job Board or the AWS Emerging Talent Community.
Courses are always updated.
Scope is limited to specialized Amazon cloud tools.
Look for courses likeIntroduction to Generative Artificial Intelligenceon AWS Educate orFoundations of Prompt Engineeringon AWS Skill Builder.
Most of these courses utilize Amazon tools like AWS Cloud, the AWS Console, and Amazon CodeWhisperer.
AI For Everyone
Taught by one of the pioneers of machine learning.
Uses case studies to explain applications of AI.
Several topics are designed for non-technical managers.
For more hands-on practice, you may need supplementary resources.
Dr. Andrew Ng is one of the most well-known names in the artificial intelligence world.
His engaging teaching style makes the new concepts more accessible to follow and enjoy.
ChatGPT Prompt Engineering for Developers
Covers the specific uses of prompt engineering with LLMs.
The examples demonstrate the practical skills it’s crucial that you master.
For a non-technical user, a basic understanding of Python is necessary.
Prompt Engineering for ChatGPT
The course is the first part of Vanderbilt University’s Prompt Engineering Specialization.
Takes a deep dive into prompt engineering with techniques like Few-shot prompting, ReAct prompting etc.
The free tier on Coursera limits your participation in discussion forums and access to quizzes and assignments.
Use this 18-hour self-paced AI class to enhance your prompt engineering skills.
The six modules are comprehensive and supported with hands-on assignments.
Data Science: Machine Learning
Offered by Harvard University as part of its HarvardX online learning programs.
Not for non-technical beginner as you will need some familiarity with data science concepts and Python.
To dive deeper into technical AI, you have to understandmachine learning.
The self-paced course will take eight weeks to complete.
Introduction to Artificial Intelligence with Python
Gives you a solid understanding of machine learning in Python.
Hands-on projects and clear examples show the practical side of the theory.
Covers important concepts of classical AI along with machine learning and NLP.
Needs a computer science background and intermediate expertise on Python.
This Harvard course is another foundational dive into technologies like game-playing engines, handwriting recognition, and machine translation.
The theoretical frameworks are taught through hands-on projects so students can ultimately design intelligent systems.
The self-paced course can take five months to complete.
Transform Your Business With AI
Apt for companies deeply integrated with Microsoft products.
As an introductory lecture, it doesn’t address specific business scenarios.
Using AI as a part of a successful business strategy is the other side of today’s rapid change.
These quick Microsoft lectures aim to bridge the gap between AI technology and critical decision-making.
AI For Business Specialization
The four distinct courses packed into one.
Learn more about data analytics for decision making.
Taught by experienced Wharton professors.
There’s no mention of course updates as new AI developments roll in.
you’re free to take the courses in any order.
AI for Good Specialization
Gain the skills to create your own AI tools for social good.
Intersects AI best practices with human intelligence and ethics.
You have to complement this introductory specialization with more niche skills elsewhere.
Earn a badge of completion to showcase on your Google profile.
As a Google-focused course, it is narrow in its scope.
Though this short course is Google-centric, the principles of ethical AI remain relevant.
The course is organized into distinct modules, each taking you through the best practices followed by Google Cloud.
you’ve got the option to then use those frameworks to mold your ethical AI strategy.
If you’re really interested in Google Cloud, be sure to check outthe next Google Cloud conference.
