Artificial intelligence is the world’s future. AI is now used in almost every app and website for the majority of its functionalities. They’re used for facial recognition locks, registering and verifying your security for transactions, and, more recently, putting your face on various characters in gaming and non-gaming applications. All of this is made feasible by artificial intelligence.
Below given are the best paid online courses for Artificial Intelligence in 2022.
1. AI Course for Everyone by Coursera:
This course is provided by deeplearning.ai, which was founded by Andre Ng of Stanford University, the founding leader of Google Brain. It’s one of the top AI courses available online, and you’ll receive a degree upon completion.
The course includes topics like:
- Machine learning and its applications
- Machine learning technical know-how and non-technical explanations of deep learning
- Short tests to help students understand new and tough ideas.
After completing the course, students might consider taking more courses in Artificial Intelligence to acquire better job offers and work with futuristic technologies.
There are no prerequisites.
2. AI application with Watson by EdX:
This course teaches you how to use IBM Watson to construct better AI algorithms with more realistic and compassionate reactions and functionalities.
The course includes topics like:
- AI is being programmed to transcribe and assess large data volumes, as well as to apply specialized functions to boost efficiency.
- Chatbots may automatically improve their IQ by learning from Watson’s discoveries.
- Watson is being designed to understand tone and client preferences.
Those who complete this course will be able to create complex chat-bots and virtual assistants to handle clients and collect relevant data. Complete understanding of IBM Watson, as well as an IBM certification, adds value to your resume/CV.
Prerequisites: There are no prerequisites.
3. Google AI Powered by Google:
Google has created an education initiative to assist people understand how Artificial Intelligence may be used to advance the social agenda in our local communities.
The course includes topics like:
- A working knowledge of machine learning, AI explorable, recommendation systems, and data clustering.
- How to test, debug, and prepare data for machine learning.
- Using AI ethically for societal gain.
Students learn how to assist social networking sites in preventing numerous inconsistencies at the ground level. It provides users with the information they need to avoid hacking and violations on their own, as well as uncover discrepancies in the system.
There are no prerequisites for this course.
4. Introduction to Artificial Intelligence with Python by EdX:
Harvard University is offering a wonderful opportunity to get a Verified Certificate in AI using Python in order to comprehend and execute AI technologies employing complicated mathematical ideas.
The course includes topics like:
- To comprehend the process of producing AI-powered gadgets, probability theories and logical reasoning are used.
- Knowledge of machine learning, reinforcement learning, neural networks, and other data processing techniques for constructing AI.
- to use Bayesian networks and Markov models
- Using Graph Search Algorithms.
- Creating designs for constraint fulfilment.
At the completion, you will receive a confirmed certification from Harvard, which will allow students to apply for employment in AI programming, data science, and other fields with higher pay grades. It’s unquestionably a fantastic option if you want to take some AI lessons.
Prerequisites: Python programming experience, ideally with CS50.
5. Introduction to AI for Business by Coursera:
Peter Maynard, Director of Program Management at Microsoft, delves into what artificial intelligence is, why it exists, and how it will impact every organization in every field. Peter also reveals how Microsoft technology is at the forefront of this transition and demonstrates various examples, both current and future, of how this is assisting businesses in embracing digital transformation.
The course’s goal is to demonstrate how the underlying Digital Transformation in a variety of organisations is essentially an algorithm. This algorithm will define how the firm will exploit its data in the future and if it will survive.
The course includes:
- What is AI?
- Digital Transformation and AI: Engage Customers.
- Digital Transformation and AI: Enable your employees
- Digital Transformation and AI: Optimize your operations
- Digital Transformation and AI: Transform your products
- AI amplifies Human Ingenuity
- Cognitive Search.
Prerequisites: There are no tools necessary; only basic knowledge and expertise in business administration are required.
6. Introduction to Artificial Intelligence in Software Testing:
The Introduction to Artificial Intelligence in Software Testing course discusses the principles of AI and the future of Automated Testing using AI Machine Learning.
This training is intended for both testers and programmers. This course is also ideal for anybody interested in learning about Artificial Intelligence in Software Testing. Again, this is a very basic course; however, if you want to study more in depth, please read my other course, “Artificial Intelligence (AI) in Software Testing (The Future of Automated Testing with Machine Learning – Implementing Artificial Intelligence (AI) in Test Automation”
This course will educate you how artificial intelligence-assisted test automation may revolutionize the user interface. This course will also educate you about Artificial Intelligence (AI) and how it relates to Machine Learning and Deep Learning.
After completing this course, you should be able to lecture your colleagues or coworkers about the relevance of AI in software testing. You should also hold a lunch and learn event for your employees or friends.
This course includes:
- Introduction to Artificial Intelligence
- Artificial Intelligence in Software Testing
- RPA Vs. AI
