AI is leading the digital space from the forefront. Today, you can see artificial intelligence and machine learning algorithms everywhere, ranging from customer relationship management software and customer service to manufacturing and business analytics.
Owing to the growing popularity of artificial intelligence , there are many great learning mediums available. This includes books, online and offline courses, webinars, and YouTube videos. In this blog post, we are going to discuss the 10 best AI courses to start or advance in your AI career.
10 Best AI Courses To Take in 2022
The following is a curated list of some top AI courses by top-tier online learning platforms that assist you in learning and honing your AI expertise:
Duration: 14.5 hours of on-demand videos
Instructor: The Lazy Programmer Team
Python is one of the leading options to work with artificial intelligence. The Artificial Intelligence: Reinforcement Learning in Python course is ideal to learn AI and Python.
As this is an intermediate-level course in artificial intelligence, you need to have a good understanding of calculus, gradient descent, object-oriented programming , supervised machine learning methods, and Markov Models. This AI course guides learners to:
- Implement 17 types of reinforcement learning algorithms.
- Apply gradient-based supervised ML methods to reinforcement learning.
The course thoroughly explains the relationship between reinforcement learning and psychology. Moreover, learners will be able to understand reinforcement learning from a technical perspective.
The course is developed by Lazy Programmer Inc., which is a website dedicated to AI and machine learning. The complete course on AI is divided into 14 sections and 111 lectures.
At the time of writing this, the course has been taken by over 42k students and flaunts a 4.6 stars rating, averaging over 9.1k+ reviews. Thus, we can say that it is one of the most popular AI courses available in the market right now.
- It comes with full lifetime access.
- It is an ideal course to learn the psychology behind reinforcement learning.
- In addition to English, the course is available in German, Italian, Portuguese, and Spanish languages.
Sign up here to get started with this course.
Duration: 10 hours and 48 minutes
Instructor: Penny de Byl
This beginner-level course combines AI, video game development, and Unity into a single package. It is ideal for learners looking forward to learning and implementing artificial intelligence in video game development.
The AI course thoroughly explains the process of implementing AI in video games. The Beginner’s Guide to Artificial Intelligence Unity explains designing and programming NPCs with C# in Unity and implementing AI-related Unity Asset plugins into existing projects.
The entire curriculum of the course is divided into 11 sections and 71 video lectures. The course requires the learners to be familiar with Unity and C# programming .
The AI game development course is developed by Penny de Byl. She is a passionate professor with over 25 years of experience and an award-winning author. Over 36.5k learners have taken the course so far.
- The course is accessible via phone and TV.
- In addition to English, the course is available in Portuguese and Spanish languages.
- It is an ideal course to learn NPCs development with Unity.
To begin with this course, you can sign up here .
By: Coursera (and DeepLearning.AI)
Duration: 12 hours
Instructor: Andrew Ng
This is an ideal course for beginner-level learners who have no technical background. This AI course explains the meaning of common AI terms that includes data science, neural networks, machine learning and deep learning .
The AI For Everyone course is delivered by Andrew Ng who is a top instructor at Coursera. In fact, he is the founder of DeepLearning.AI and a co-founder of Coursera.
AI For Everyone clearly distinguishes between what is achievable by AI and what is not. By the end of this AI course, learners will be able to analyze opportunities where artificial intelligence can be leveraged.
Unlike other artificial intelligence courses on this list, this AI course focuses more on the business aspects of AI. Hence, even engineers and technical people can leverage this course to better understand AI from a business perspective.
The AI For Everyone course has 35 video lectures and 2 quizzes divided into 4 sections, namely What is AI?, Building AI Projects, Building AI In Your Company, and AI and Society.
- The course is available in many languages, including Arabic, Dutch, Korean, Thai, and Vietnamese.
- The AI course has been taken by over 788k learners so far.
To begin with this course, enroll right here .
By: Coursera (and IBM)
Duration: 11 hours approx
Instructor: Antonio Cangiano
Chatbots are one of the most popular applications of AI. If you’re interested in building chatbots then you must for this course. However, the best thing about this course is that even if you don’t know how to write code, you can still learn to develop chatbots.
Building AI-Powered Chatbots Without Programming is a beginner-level course from IBM that details using IBM Watson’s NLP capabilities to plan, implement, test, and deploy chatbots. The course is prepared by Antonio Cangiano who is a software developer and technical evangelist.
The entire course is divided into 7 sections and 12 video lectures. The course also features quizzes that allow learners to self-assess their learning.
The AI course explains creating chatbots using Watson Assistant and deploying the same to WordPress websites using a plugin.
- It is an ideal course to learn about building chatbots without the need for coding.
- In addition to English, the course is available in several languages, including Arabic, French, Korean, Spanish, and Vietnamese.
You can enroll in this course here .
Duration: 3 months (10 hours/week)
AI Programming with Python is an excellent course for learners who wish to learn about the various popular ML and AI packages and tools available in Python. As such, this AI course covers Anaconda, Matplotlib, pandas, and PyTorch.
Additionally, the beginner-level AI course also explains calculus and linear algebra, which are fundamental to developing neural nets. The only prerequisite for the course is a basic understanding of algebra and programming.
The course is accompanied by project development that will help students better learn the concepts that they learn throughout the course.
The AI Programming with Python course comes with a GitHub portfolio review and LinkedIn profile optimization services.
- This course comes with technical mentor support.
- It is a flexible AI learning program.
- It is an excellent AI course to add to your resume and grab the best job opportunities.
Start learning this course immediately by enrolling here .
By: LinkedIn Learning
Duration: 1 hour 16 minutes
Instructor: Doug Rose
It is one of the best AI courses to learn neural networks . The entire course is divided into 6 parts:
- What Are Artificial Neural Networks?
- Neural Networks for Machine Learning
- Configuring the Neural Network
- Using the Neural Network to Find Patterns
Each chapter of the course follows a quiz that allows learners to self-assess their learning so far. In addition, it comes with 1 project file. At the time of writing this, the course has been taken by 74k+ learners.
The course instructor is Doug Rose, who is a professional AI instructor and has taught many Fortune 500 companies. It is a part of the Master the Fundamentals of AI and Machine Learning learning path.
- The course is accessible from phone and tablet.
- A free option for the course is available.
To get started with this course, sign up here .
By: edX (and IBM)
Duration: 8 weeks (4 to 8 hours per week)
Instructor: Rav Ahuja
This is an excellent course to learn the fundamentals of IBM Watson AI. It is a self-paced beginner-level course in artificial intelligence that introduces learners to the basics of AI and Watson machine learning.
Introduction to Watson AI details how Watson AI services are offered over the IBM Cloud and how organizations leverage the same. The course also explains the most typical use cases of artificial intelligence.
The course on AI is prepared by Rav Ahuja who is Global Program Director at IBM Skills Network. This program is a part of the Professional Certificate in Foundations of AI and Professional Certificate in Applied AI certifications.
- A free option for the AI course is available.
- It is offered by IBM.
Sign up here to start learning with this course.
Duration: 6 months (10 hours per week)
Do you love the stock market and trading? Then you should opt for this course in AI that shows how to apply artificial intelligence to trading. This AI course covers topics ranging from asset management to trading signal generation. With this course on artificial intelligence, learners will champion AI algorithms for trading.
As this is an intermediate-level course, learners need to have a good understanding of Python, AI, statistics, and algebra. The Artificial Intelligence for Trading course is prepared by Audacity in association with WorldQuant, which is a global quantitative asset management organization.
With this course, learners will know in detail about:
- Basic quantitative trading
- Advanced quantitative trading
- Stocks, indices, and ETFs
- Factor investing and alpha research
- Sentiment analysis with NLP (natural language processing)
- Advanced NLP with deep learning
- Combining multiple signals
- Simulating trades with historical data
The flexible AI course comes with technical mentor support that will let you stay on track when you come across roadblocks.
- It offers real-world projects developed by industry experts.
- The course comes with career and student services.
Get started with this course right away by signing up here .
By: edX (and The University of Edinburgh)
Duration: 7 weeks (3 to 4 hours per week)
Instructor: Burkhard Schafer, Michael Rovatsos, and Ewa Luger
Data Ethics, AI and Responsible Innovation is an intermediate-level course in artificial intelligence that is intended for learners interested in knowing about the ethical side of AI.
This AI course looks into the ethical, legal, political, and social issues that arise throughout the data lifecycle. It details many non-technical aspects of artificial intelligence that include data governance, digital rights, ethics and morality, human-data interaction, and responsible research and innovation.
The course is prepared by Burkhard Schafer, Michael Rovatsos, and Ewa Luger. Burkhard and Michael are professors, and Ewa is Chancellor’s Fellow at The University of Edinburgh.
- It is an ideal course for professionals looking to evaluate ethical issues that they face in their work environment.
- A free option for the AI course is available.
- It allows learners to identify and assess the present ethical issues in the data science industry.
To begin with this course, you can enroll here .
Duration : 4 to 8 weeks (5 hours per week)
Instructor: William Ross, Luis Serrano, and Josh Bernhard
AI for Business Leaders is an advanced-level course on artificial intelligence that is intended for C-level professionals to strategically implement AI and ML in their business.
Learners interested in this course require to have a good business experience in addition to a sound understanding of probability and statistics. The course details:
- The paradigm shift
- The math behind AI
- The architecture of AI systems
- Working with data
- Accuracy, bias, and ethics
- Gathering feedback
Additionally, the course comes with a capstone project that requires learners to develop a fitting ML/AI strategy that is technically feasible and highly impactful.
The course is prepared by 3 instructors, namely William Ross, Luis Serrano, and Josh Bernhard. William is a Product Manager and Corporate Development Leader, Luis is an AI Engineer at Apple, and Josh is a Data Scientist at NerdWallet.
- The AI course features technical mentor support and career services.
- It is a flexible learning program.
You can get started with the course by enrolling right here .
AI is one of the leading markets to work in the 21st century. It has the potential to grow bigger over time. Hence, it is an opportune time to get started with artificial intelligence and machine learning.
The aforementioned courses will allow you to learn AI better and start or advance your career in this lucrative field that is both challenging and rewarding.
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